DATIM
Design and Analysis Toolkit for
Inventory and Monitoring
User Guide for
Registered Users
DATIM Version 4.0
DATIM User Guide for Registered Users, version 4
Last updated: January 6, 2016
This guide for users of DATIM is supplied by:
Resource Information Group (RIG)
Ecosystem Management Coordination (EMC)
USDA Forest Service
Washington, DC
This User Guide is available to the public at the RIG-DATIM
(http://www.fs.fed.us/emc/rig/DATIM/index.shtml) internet site.
Product Disclaimer
The U.S. Department of Agriculture (USDA) prohibits discrimination in all its programs and
activities on the basis of race, color, national origin, age, disability, and where applicable, sex,
marital status, familial status, parental status, religion, sexual orientation, genetic information,
political beliefs, reprisal, or because all or a part of an individual's income is derived from any
public assistance program. (Not all prohibited bases apply to all programs.) Persons with
disabilities who require alternative means for communication of program information (Braille,
large print, audiotape, etc.) should contact USDA's TARGET Center
(http://www.dm.usda.gov/oo/target/) at (202) 720-2600 or toll-free nationwide at (844) 433-2774
(voice and TDD). To file a complaint of discrimination, write to USDA, Director, Office of Civil
Rights, 1400 Independence Avenue, S.W., Washington, D.C. 20250-9410 or call (800) 795-3272
(voice) or (202) 720-6382 (TDD). USDA is an equal opportunity provider and employer.
The use of trade or firm names in this publication is for reader information and does not imply
endorsement by the U.S. Department of Agriculture of any product or service.
Contents (revision: 01.2016)
Table of Contents
Design and Analysis Toolkit for Inventory
and Monitoring:
User Guide for Registered Users (version 4)
Contents.
PREFACE ................................................................................................................................................ VII
Who This Guide is For ............................................................................................................... vii
How This Guide is Organized .................................................................................................... vii
Conventions Used ....................................................................................................................... viii
Responsible Organizations .......................................................................................................... xi
Assistance ...................................................................................................................................... xi
Technical Support ........................................................................................................................ xi
System Requirements ................................................................................................................. xii
Supported operating systems ..................................................................................................... xii
Hardware requirements ............................................................................................................. xii
Supported browsers ................................................................................................................... xii
Software requirements.............................................................................................................. xiii
CHAPTER 1: OVERVIEW .................................................................................................................. 1-1
What is DATIM?........................................................................................................................ 1-1
What Data is Available For Users ............................................................................................ 1-5
Executing DATIM ...................................................................................................................... 1-5
To determine whether Microsoft Silverlight is installed on your computer: ........................... 1-6
DATIM Compatibility with Internet Explorer ....................................................................... 1-8
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Table of Contents
A quick tour of DATIM ............................................................................................................. 1-8
User Roles ................................................................................................................................. 1-13
User Registration ..................................................................................................................... 1-15
Login.......................................................................................................................................... 1-17
Manage Account....................................................................................................................... 1-18
CHAPTER 2: WELCOME TO DTIM ................................................................................................. 2-1
Introduction to DTIM................................................................................................................ 2-1
How DTIM is organized .......................................................................................................... 2-2
Getting started .......................................................................................................................... 2-4
Designing a DTIM project......................................................................................................... 2-6
Launching the wizard ............................................................................................................... 2-7
Selecting a base module ........................................................................................................... 2-7
Selecting objectives .................................................................................................................. 2-9
Selecting questions ................................................................................................................. 2-10
Selecting metrics .................................................................................................................... 2-12
Editing and printing the output tables .................................................................................... 2-14
Saving a DTIM project ........................................................................................................... 2-17
Using the Project Manager to open and delete projects ....................................................... 2-19
Opening a saved project ......................................................................................................... 2-19
Deleting a saved project ......................................................................................................... 2-20
Creating custom objectives, questions, and metrics ............................................................. 2-22
Creating custom objectives .................................................................................................... 2-22
Creating custom questions ..................................................................................................... 2-25
Creating custom metrics and page, row, and column variables ............................................. 2-31
CHAPTER 3: WELCOME TO ATIM ................................................................................................. 3-1
Introduction to ATIM................................................................................................................ 3-2
Introduction to analysis tasks ................................................................................................... 3-3
Getting started with ATIM ....................................................................................................... 3-4
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Table of Contents
Working with ATIM analyses................................................................................................... 3-6
Understanding the ATIM analysis ........................................................................................... 3-6
Opening an analysis ................................................................................................................. 3-6
Closing an analysis ................................................................................................................. 3-11
Working with ATIM reports .................................................................................................. 3-12
Running reports ...................................................................................................................... 3-12
Creating a new analysis report ............................................................................................... 3-22
Saving report designs to the analysis ..................................................................................... 3-42
Saving report results ............................................................................................................... 3-44
Viewing report results ............................................................................................................ 3-46
CHAPTER 4: WELCOME TO SIT ..................................................................................................... 4-1
Introduction to SIT .................................................................................................................... 4-1
Getting started with SIT............................................................................................................ 4-2
Launching SIT in Citrix ............................................................................................................ 4-4
Installing the SIT Add-in File in ArcMap ............................................................................... 4-5
Installing the SIT ArcMap Add-in to your Desktop ............................................................... 4-8
Adding the SIT Add-in to the ArcMap toolbar..................................................................... 4-11
Working with SIT .................................................................................................................... 4-13
Creating a SIT intersection ..................................................................................................... 4-21
Generating Population (POP) Tables..................................................................................... 4-30
Creating an ATIM report using a SIT attribute ................................................................... 4-36
REFERENCES................................................................................................................. REFERENCES-1
TECHNICAL APPENDICES ......................................................................................... APPENDICES-1
Appendix A – Understanding DATIM................................................................... Appendices-2
Introduction to DATIM ........................................................................................... Appendices-2
Appendix B – Understanding DATIM Datasets ................................................... Appendices-3
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Introduction to DATIM datasets ............................................................................. Appendices-3
Appendix C – Information about preloaded DTIM Base Modules ..................... Appendices-7
Base Modules .......................................................................................................... Appendices-7
Appendix D – Working with tables in DATIM ..................................................... Appendices-9
Open Analysis Table in ATIM ................................................................................. Appendices-9
Formatting the FVS Results Tables ...................................................................... Appendices-14
Appendix E – Standard reports preloaded in ATIM ......................................... Appendices-22
Appendix F – Printing ATIM Report Results Using a Xerox 7400 Laser Printer
.................................................................................................................................. Appendices-26
Appendix G – DCS and the Forest Vegetation Simulator (FVS) overview ...... Appendices-28
Forest Vegetation Simulator (FVS) overview ....................................................... Appendices-29
Appendix H– List of DATIM Dataset Attributes................................................ Appendices-31
Appendix I – List of FVS Variants ....................................................................... Appendices-35
Appendix J – List of FVSStand Data Attributes................................................. Appendices-37
GLOSSARY OF TERMS ..................................................................................................... GLOSSARY-1
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Preface (revision: 01.2016)
Preface
Preface
DATIM (Design and Analysis Toolkit for Inventory and Monitoring) is a suite of software tools
designed by a team of resource inventory and forest planning specialists from the National Forest
System (NFS) and Research & Development (R&D) of the United States Department of
Agriculture (USDA) Forest Service (FS). The application is intended to improve natural resource
inventory and monitoring designs and data analyses by providing nationally consistent tools to
access corporate databases.
DATIM is comprised of four separate but integrated tools:

DTIM (Design Tool for Inventory and Monitoring)

ATIM (Analysis Tool for Inventory and Monitoring)

SIT (Spatial Intersection Tool)

DCS (DATIM Compilation System)
Who This Guide is For
DATIM’s user community will primarily consist of regional analysts and Resource Program
Managers who are assisting forests during the Forest Plan Revisions and developing and
conducting regional broad scale monitoring programs. DTIM was designed to assist inventory
and monitoring planners and analysts at regional, forest and station levels. ATIM and SIT were
developed largely for regional and forest staff involved in Land Management Planning and forest
monitoring, however the entire Forest Service will have access to the wealth of FIA and NFS
data through these tools. Because the DATIM data mart serves up enhanced data that FIA does
not provide, DATIM is useful to FIA analysts, researchers, Forest Health Monitoring (FHM)
analysts from State and Private Forestry, and others.
This edition of the user guide is specifically intended for registered users. If you would like to
upgrade your user permissions to one of the other roles, please contact DATIM administrators at
datim@fs.fed.us to request an alternate account.
How This Guide is Organized
This guide is designed to walk you through the DATIM application, beginning with the first time
you use it. It is composed of the major sections listed below:
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Preface
Chapter 1, “Overview” describes the DATIM application and explains its purpose. It also
provides general considerations for DATIM users, a list of system requirements and instructions
for launching the application in an internet browser. Lastly, it provides instructions for
registering as a DATIM user and logging in.
Chapter 2, “Welcome to DTIM” introduces the Design Tool for Inventory and Monitoring
(DTIM) and helps you to use the tool to identify monitoring information needs and design
requirements. As a DTIM user, you will be able to identify a variety of monitoring questions and
indicators to meet specific monitoring objectives by using existing data to determine whether
those data are sufficient to answer potential monitoring questions.
Chapter 3, “Welcome to ATIM” introduces the Analysis Tool for Inventory and Monitoring
(ATIM) and helps you get started working with ATIM. It describes what an ATIM analysis is
and teaches you how to open existing analyses for your population of interest, and how to
manage your collection of analyses. It then provides instructions for working with ATIM reports,
including how to run standard reports, create custom reports, save reports to the analysis, and
view report output.
Chapter 4, “Welcome to SIT” introduces the Spatial Intersection Tool (SIT) and helps users
with access to the tool to get started working with SIT. It includes instructions on executing SIT
in Citrix and how to install the SIT ArcMap Add-in. It then describes how to work with SIT,
including creating a SIT point layer, a SIT intersection, and an ATIM report using a SIT
attribute.
References, Technical Appendices, and a Glossary of Terms are provided in the back matter.
Conventions Used
A number of special conventions are used in this guide to assist you.
Text conventions include various typefaces used to identify terms and other special objects.
These special typefaces include the following:
Table 1. Text Conventions.
Convention
Meaning
Example
Italic
New terms or phrases
when first
introduced.
A dataset is a collection of estimation units and
data points that are collectively exhaustive and
mutually exclusive.
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Monospace
Used for code,
filenames, and
directory names.
Up to 50 MB of disk space may be needed in the
Windows system directory
(C:\Windows\System 32) for ArcGIS to run.
Bold
monospace
Text that you type.
In the text field provided, enter My New
Analysis.
25% lighter
bold
Indicates a label that
does not prompt user
input or action, such
as a page title.
The Create Analysis page includes three tab-based
forms that you must complete.
Bold
Indicates a field
name or label
prompting user input,
or a button or link
that you click.
In the Analysis name field, type in a unique name
for your new analysis… When finished, click
Create Analysis.
Bold italic
Indicates an option
available for
selection in a dropdown list.
From the Select Module list, select FIA
Intensification.
Hyperlink
Provides a hyperlink
to another resource.
For more information about DATIM and the
Resource Information Group, go to the RIGDATIM
(http://www.fs.fed.us/emc/rig/DATIM/index.shtml)
internet site.
SMALL CAPS
Keyboard key that
you press.
To select multiple datasets, hold down the SHIFT
key and click each dataset you want to include in
your analysis.
Textboxes are also used throughout this guide to alert you to Notes, Tips, and Cautions:
NOTE:
Notes point out things you should be aware of to make better sense of the
application.
TIP:
Tips are provided to show you faster, easier ways to accomplish tasks.
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CAUTION!
Preface
Cautions are given to help you avoid potential pitfalls that can result in loss of
work or other difficulties.
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Preface
Responsible Organizations
Programming support for DATIM is provided by database and software developers employed by
the USDA Forest Service in partnership with the University of Nevada, Las Vegas. The DATIM
project is sponsored by the Ecosystem Management Coordination (EMC) Director and Research
and Development's (R&D) National Inventory and Monitoring Application Center (NIMAC)
which is part of Forest Inventory & Analysis (FIA) Program.
The Organizations responsible for DATIM are:
USDA Forest Service
Ecosystem Management Coordination
Sidney R. Yates Federal Building
201 14th Street, SW
Washington, DC 20024
USDA Forest Service
Forest Inventory and Analysis
Sidney R. Yates Federal Building
201 14th Street, SW
Washington, DC 20024
Assistance
The DATIM staff maintains the RIG-DATIM
(http://www.fs.fed.us/emc/rig/DATIM/index.shtml) web site with information and documents
related to DATIM. Frequently Asked Questions (FAQs) will be posted to the web.
To launch DATIM application from behind the Forest Service firewall, open the
production version (http://apps.fs.fed.us/datim/) of DATIM in your browser window.
Users are welcome to report bugs and other problems with functionality, usability, or workflow
by sending an email to datim@fs.fed.us. Suggestions for improvements to the application are
also welcome.
Technical Support
If you have questions or need help with e-Authentication, contact the Customer Help Desk
(CHD) (http://fsweb.wo.fs.fed.us/irm/help/) at 1-866-945-1354 or 1-800-877-8339 (TTY). If you
are behind the Forest Service firewall, you can also initiate a help ticket via the Customer Help
Desk website.
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Preface
System Requirements
To use DATIM, your computer should have a supported operating system and the required
hardware components and software resources.
Supported operating systems
Windows 7:
Ultimate, Enterprise, Professional, and Home Premium Editions
(32 or 64-bit)
Windows Vista:
Ultimate, Enterprise, Business, and Home Premium Editions (32 or
64-bit)
Windows XP:
Professional and Home editions (32-bit)
Macintosh OS/X:
10.5.7 or higher (Intel-based)
Hardware requirements
CPU Speed:
2.2 GHz minimum or higher
Processor:
Intel Pentium 4, Intel Core Duo, or Xeon Processors, SSE2 or
greater
Memory/RAM:
2 GB or higher, or around 500 MB if SIT is not used
Display Properties:
24 bit color depth
Screen Resolution:
1024 x 768 recommended or higher at Normal size (96 dpi)
Swap Space:
Determined by the operating system; 500 MB minimum
Disk Space:
2.4 GB. In addition, up to 50 MB of disk space may be needed in
the Windows system directory (e.g., C:\Windows\System32) for
ArcGIS
Video/Graphics Adapter:
64 MB RAM minimum; 256 MB RAM or higher.24 bit capable
graphics accelerator. Open GL version 2.0 runtime or higher
Networking Hardware:
Simple TCP/IP, Network Card, or Microsoft Loopback Adapter is
required for the ArcGIS License Manager
Supported browsers

Internet Explorer version 8.0 or higher, 32-bit (required for SIT)
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Software requirements

High-speed (broadband) Internet connection

ActiveX Filtering must be disabled

Zoom set at 100% or lower

Microsoft Silverlight 5.0 or higher

For SIT:

ArcGIS Desktop 10.2.2; For ArcGIS Desktop 10.2.2, the minimum versions of XP are
XP SP3 (32-bit) or XP SP2 (64-bit). For Windows 7, SP1 is required. For more
information about ArcGIS Desktop requirements, visit the ESRI Support website
(http:/support.esri.com/en/content/system-requirements).

Internet Explorer version 8.0 or newer, 32-bit

NET Framework 3.5 SP1 must be installed prior to installing ArcGIS Desktop.

Python 2.6.x and Numerical Python 1.3.0 (for Geoprocessing)

Microsoft WinHelp patch for Windows 7 and Windows Vista (recommended for ArcGIS
Desktop)

JavaScript (also known as active scripting) must be enabled in your browser. Visit the
Microsoft Support (http://support.microsoft.com/gp/howtoscript) to learn how to enable
JavaScript in Internet Explorer, Firefox, and other browsers.

MSXML 4.0 or 6.0 (Internet Explorer only)
For help with system configuration support, visit the Customer Help Desk
(http://fsweb.wo.fs.fed.us/irm/help/) website or call 1-866-945-1354 or 1-800-877-8339 (TTY).
You must be behind the Forest Service firewall to view the website.
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Chapter 1 (revision: 01.2016)
Overview
Chapter 1: Overview
What is DATIM?
The Design and Analysis Toolkit for Inventory and Monitoring (DATIM) is intended to improve
monitoring designs and data analyses by providing nationally consistent tools to access corporate
databases. The current focus is on forest and vegetation monitoring, but it can be expanded to
other resources that also use plot-based monitoring and similar statistical estimators. These tools
were initially designed for the National Forest System (NFS) but are being adopted by the Forest
Inventory and Analysis program (FIA) and will be made accessible to public users.
DATIM provides national consistency in developing monitoring plans both at Forest and
Regional levels. The application provides enhanced design planning to result in more efficient
and effective monitoring plans for Forests and Regions. The application has the ability to address
mid-level information needs (National Forest level) and accommodate plot intensification and
the addition of other forest attributes. It provides for statistically defensible designs and derived
estimates that are consistent between FIA and NFS. The application is to be used for customized
reporting at Forest, Regional, National, and even International levels.
In summary, DATIM will:

Help Forests cost-effectively comply with the 2012 Forest planning regulations (USDA
FS 2012c) related to assessment (36 CFR 219.6) and monitoring and evaluation (36 CFR
219.12).

Help Forests and Regions improve monitoring designs and data analyses by providing
nationally consistent tools, making more efficient use of the hundreds of millions of
dollars spent by the agency on monitoring each year.

Help National Forests and Grasslands better document their monitoring needs, thereby
enabling the agency to better communicate monitoring objectives and funding needs.

Be useable in multiple program areas including forest planning, inventory and monitoring
design, and national and regional monitoring efforts.
DATIM is comprised of four tools for improving monitoring designs and data:

DTIM, the Design Tool for Inventory and Monitoring (Figure 1-1), is used for
identifying information needs and designing more efficient and effective monitoring
plans. DTIM assists managers of national forests and grasslands to determine what
potential monitoring questions can be answered based on available data. In future version
of DTIM, if available data are inadequate to obtain statistically defensible estimates of
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Chapter 1 (revision: 01.2016)
Overview
current conditions and trends, then this tool will help you to cost-effectively determine
the additional sampling needed to meet your unique precision and cost objectives.
Figure 1-1. The Design Tool for Inventory and Monitoring (DTIM).

ATIM, the Analysis Tool for Inventory and Monitoring (Figure 1-2), is used for
creating statistically defensible analyses and reports which can be based on the
monitoring questions posed in DTIM. ATIM assists you in analyzing forest and
vegetation data – including Forest Inventory Analysis (FIA), FIA Regional supplements,
and NFS data – to derive estimates of current conditions and trends on a forest and
surrounding landscapes. This tool can also be used to track trends in vegetation diversity
at a broad scale for monitoring climate change effects. ATIM enables you to derive
estimates of population parameters along with the associated sampling errors for various
design-based inventories, including FIA annual and regional NFS datasets. ATIM is also
integrated with the Spatial Intersection Tool (SIT) to focus an analysis on a geographic
area of interest and to summarize the results using map-based attributes.
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Figure 1-2. The Analysis Tool for Inventory and Monitoring (ATIM).

SIT, the Spatial Intersection Tool (Figure 1-3), is used to perform spatial intersections
between plot-based data and user-selected geospatial layers. The results of those
intersections are stored in DATIM for analysis in ATIM. SIT allows DATIM to access
geographic information systems (GIS), with the spatial data located locally and remotely
on intranets/internet. In addition to spatially refining the area to be analyzed, SIT can
return map attributes of plots to be used as summary attributes in ATIM analyses. SIT
includes enhanced spatial querying and reporting capabilities using ESRI’s ArcGIS
software and other data visualizing and data mining techniques.
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Figure 1-3. The Spatial Intersection Tool (SIT).

NOTE:
DCS, the DATIM Compilation System (Figure 1-4), is a tool used by regional
administrators to extract data from external sources, transform the data according to
region-specific requirements, and then load the data into the DATIM data mart. Data
sources include Field Sampled Vegetation (FSVeg) and FIA's FIADB. DCS provides a
user interface for setting up a compilation project according to the selected regional
compilation module. Administrative users are able to select datasets from the DATIM
data mart, run the data through the Forest Vegetation Simulator (FVS) to compute
additional data fields such as habitat types, and then store the results in DATIM. See
Appendix G - DCS and the Forest Vegetation Simulator (FVS) overview for more
information regarding this tool.
For more information about FIA classes, codes, variables, and other data
definitions, refer to the FIADB User Guide. It can be accessed at the following
web address: http://www.fia.fs.fed.us/library/database-documentation
(O’Connell et al. 2015).
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Overview
Figure 1-4. The DATIM Compilation System (DCS).
What Data is Available For Users
DATIM contains resource data extracted primarily from two USDA Forest Service databases –
FIADB and FSVeg. Only resource data collected using statistically valid inventory techniques is
available in DATIM. Three types of resource data are currently available; measured and
calculated tree attributes (including seedlings), calculated and aggregated down woody material
attributes (coarse woody debris, fine woody debris, duff, and residual piles), and measured
attributes on other vegetation (ground cover, cover by lifeform, cover by species, and structure).
Only annual inventory data from FIADB has been extracted to DATIM. DATIM will make
additional data available as the source databases are updated or based on user requests.
Exploration through the Open Analysis and New Analysis tools within the Analysis Tasks will
reveal those inventories available in DATIM. To request the addition of inventory data that are
available in FIADB or FSVeg, send us an e-mail at datim@fs.fed.us.
Executing DATIM
To get started using DATIM, the first thing you need to do is execute the application
(http://apps.fs.fed.us/datim/) in your Internet Explorer web browser (Figure 1-5Error!
Reference source not found.). Currently, DATIM is a USDA web application that can only be
accessed by USDA employees and non-staff customers or contractors with e-Authentication
accounts. To use DATIM 4.0, you must be working behind the USDA firewall.
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NOTE:
Overview
In later versions of DATIM, a desktop version of the application will also be
available.
Figure 1-5 Executing DATIM.
Before DATIM launches in your browser window, you may receive a notice to install Microsoft
Silverlight®, as shown in Figure 1-6.
Figure 1-6. Notice to install Microsoft Silverlight ® .
Before you click the button on the message to install Microsoft Silverlight®, check to see if it is
already installed on your computer.
To determine whether Microsoft Silverlight is installed on your computer:
Visit the official Microsoft Silverlight installation page
(http://www.microsoft.com/getsilverlight/get-started/install/) in any browser. If you have
Silverlight installed, this page will detect and display the version.
If you use the Windows 7 Professional operating system and want to determine manually
whether Silverlight is installed:
1. Click the Windows Start button (Figure 1-7), and then click Control Panel.
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Figure 1-7. Windows Start button.
2. In the list of Control Panel items, click Programs and Features.
3. Scroll through the list of programs to see if Microsoft Silverlight is installed for version 5.0
or higher (Figure 1-8).
Figure 1-8. Locating Microsoft Silverlight in the list of installed programs.
If you confirm that the minimum version of Microsoft Silverlight® is already installed on your
computer, then receiving the notice to install it means that you have ActiveX Filtering enabled.
You must disable ActiveX Filtering before you can launch DATIM.
To disable ActiveX Filtering in Internet Explorer 11 or higher:
1. From the Internet Explorer toolbar, click on Tools to expand the list (Figure 1-9, #1).
2. Hover over Safety in the drop-down menu (Figure 1-9, #2).
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3. Find ActiveX Filtering in the list. If a check mark appears next to it, it means that ActiveX
Filtering is enabled. Click on ActiveX Filtering to remove the check mark and disable it
(Figure 1-9, #3).
4. Re-launch DATIM.
Figure 1-9. Disabling ActiveX Filtering in the Internet Explorer toolbar.
DATIM Compatibility with Internet Explorer
The keyboard shortcut, F5, is often used to refresh web browsers. However, using F5 causes the
DATIM navigation links to disappear or malfunction. It is not recommended that users attempt
to use the F5 button while working with DATIM.
A quick tour of DATIM
Your work in DATIM is performed using pages and views. A page is a display area containing
drop-down menus, text boxes, checkboxes, buttons, hyperlinks, tooltips, tables, status indicators,
and/or descriptive text. A view functions in the same way a page does, only it 'pops up' in front of
a page in a separate, smaller view.
When you launch DATIM, the user interface consists of seven main parts as shown in Figure 110:
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Overview
Figure 1-10. The DATIM user interface.
Login
The Login link opens a login view where you will type in your user name and password. The
view also provides a link to the form that first-time users will need to complete to register with
DATIM. Once you are logged in, you will be able to use the DATIM application according to
the permissions and authorizations granted to you.
User Help
The User Help button opens the DATIM User Guide. You may access this guide to become
more familiar with the DATIM interface or to address any questions that you may have when
interacting with the program and its tools.
Full-Screen View Toggle
The full-screen view toggle button allows the user to display the DATIM navigation menu as
well as the main DATIM view. This button will hide the ribbon, the system evaluation and
information area, as well as the web page information displayed at the bottom of the DATIM
webpage.
Ribbon
The ribbon sits above the main view and provides links to the five main areas in DATIM. You
can navigate to any of these areas by simply clicking on its name.
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Overview
The main areas displayed on the ribbon are:

Home – This is the default area displayed when you open DATIM. Currently, its sole
purpose is to welcome you to the application. In later versions of DATIM, it will also
be where you enter your user name and password to authenticate the permissions
granted to you.

DTIM – This is where you will design your inventory and monitoring studies
according to your objectives, the monitoring questions to address the objectives, the
metrics answer the questions, the precision requirements, and the cost of sampling
plots.

ATIM – This is where you will perform data analyses and generate statistical reports.

SIT – This will link you to the Spatial Intersection Tool Addin page, where you will
be given detailed instructions to download the addin. This will allow you to work with
SIT in ArcMap to perform spatial selections for inclusion in your ATIM analyses.

DCS – This is where administrators will compile datasets to generate calculated values
according to Forest Service regional modules.
Navigation menu
The navigation menu provides links to each of the major areas of DATIM. Because the menu is
context sensitive, its contents will change depending on your user role and the DATIM tool you
are working with. For example, if you are working in ATIM, a submenu of tasks appears beneath
analysis tasks depending on which task you are currently working on as well as your user
permissions (Figure 1-11).
Figure 1-11. The context sensitive navigation menu.
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The same five areas displayed in the DATIM ribbon are displayed in the navigation menu, along
with two additional areas: help and about DATIM. The help page provides instructions on
different ways the user can access the User Guide in various formats including on-line help as
well as a PDF version (Figure 1-12).
Figure 1-12. The Help page.
The About DATIM page provides information on the intent of DATIM as well as information
pertaining to the software version and database version used during the current session (Figure 113).
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Figure 1-13. The About DATIM page.
System evaluation and information
The system evaluation and information area provides system sponsor and user feedback links
where users can evaluate DATIM. Follow the Evaluate This System link to arrive at the User
Survey page (Figure 1-14). The User Survey page allows users to evaluate the system through
the completion of a questionnaire. The completed questionnaires are sent anonymously to
DATIM team members to help improve DATIM.
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Figure 1-14. The User Survey page.
Main DATIM view
The main DATIM view is where you will interface with the various subsystems and tools as you
navigate around the DATIM.
User Roles
There are six types of DATIM users. Each user type is introduced below:
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1). Guest User (no login required)
The Guest User has the most limited access of all of the users. In ATIM, this user is
able to open publically accessible ATIM analyses, run standard analysis reports, and
create and view custom analysis reports. In DTIM this user can define a project, open
a publically accessible project, and view, print, and locally save project reports.
2). Registered User
The Registered User has access to DTIM, ATIM and SIT. This user is able to run
standard analysis reports and create custom ATIM reports, but cannot permanently
add or delete SIT attributes. This user can also design DTIM projects but can save
work to the DATIM data mart. Confidential information, such as actual plot locations
and private ownership information, is not available to this user.
3). Forest Administrator
The Forest Administrator has full access to ATIM with the exception of actual plot
locations and other confidential information, and full access to DTIM. This
administrator is able to access DATIM datasets within a particular Forest Service
Region for the purpose of creating new analyses. This administrator can create
standard analysis report designs for a Forest, which can then be used as a template by
other DATIM users, but does not have access to actual plot locations and other
confidential information. Forest Administrators also have the permissions necessary
to use the DCS compilation modules and SIT.
4). Regional Administrator
The Regional Administrator has access to all DATIM datasets and projects for his or
her Forest Service Region, including confidential information. This administrator has
access to actual plot locations and can edit any of the regional data in the DATIM
data mart. This user has the ability to create analytical report templates to limit how
the regional data are analyzed and viewed by other DATIM users. Additional
permissions include the ability to compile and load inventory information to the
DATIM data mart, define and populate new attributes, edit and create metadata
associated with those attributes, and create DATIM datasets. In addition, this
administrator can manage roles as well as manage groups within DATIM.
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5). GIS Specialist
The GIS Specialist has all of the same permissions and accessibilities as the
Registered User with the additional ability to add and delete SIT attributes in ATIM
as well as access to actual coordinates when working with the SIT tool.
6). Administrator (Super User)
The "Super User" Administrator has all of the same permissions and accessibilities as
all of the other users, but is also able to assign roles to other DATIM users and
manage projects stored in the DATIM data mart.
User Registration
Before you can login to DATIM, you must first register as a user; otherwise you will be given
limited permissions as a guest user.
To register as a new DATIM user:
1. Click login in the upper right-hand corner of the DATIM screen (Figure 1-15).
Figure 1-15. The DATIM login link.
2. The Login screen pops up. Click the Register now link at the bottom left-hand side of the
screen (Figure 1-16).
Figure 1-16. The DATIM Login screen with the 'Register now' link.
3. The Register screen pops up. Complete all of the required fields to create your DATIM
account (Figure 1-17).
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Figure 1-17. The DATIM registration form.
Each field in the Register screen is described briefly as follows:

User name (required) – Enter a user name using only alphanumeric characters (no
spaces). For example, Joe Forester would be entered as JoeForester without the
space.

Friendly name (optional) – If you would like to be recognized as a name other than your
user name when working with DATIM, such as a nickname, enter that “friendly name”
here. Otherwise, your friendly name will be the same as your user name.

Email (required) – Enter a valid email address. Important news about DATIM upgrades
and other information will occasionally be sent to the email address you provide here.

Password (required) – Enter a password of at least seven characters long and with at
least one special character.

Re-type password (required) – Reenter the same password to ensure it is an exact
match and is the password you intended.

Forest Service affiliate? (required) – Leave this box checked if you are a Forest Service
employee or contractor. Remove the checkmark if you are instead affiliated with a nonForest Service group, such as an academic or educational institution, a non-Forest Service
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federal agency, a corporate or consultant industry, a non-governmental organization
(NGO), a state agency, or other affiliation.

Affiliation (required) – Select your general affiliation from the drop-down menu. The
choices available for your selection will depend on whether or not you are a Forest
Service affiliate.

Specific affiliation (required) – Select your specific affiliation from the drop-down
menu. The list of available choices will depend on your general affiliation.

Please specify – If you unchecked the Forest Service affiliate? box as well as selected
Other as your affiliation, type your specific affiliation here.
4. Click the OK button to finish registering or select Cancel to discard all answers provided and
return to the DATIM home page.
If you clicked OK, congratulations, you are now registered with DATIM and can login and
use the application. When registering for an account in DATIM 4.0, you are given Registered
User permissions by default. If you would like to upgrade your account to one of the
administrative user roles, please e-mail us at datim@fs.fed.us with your request.
Login
To login to DATIM (registered users only):
1. Click login in the upper right-hand corner of the DATIM screen (Figure 1-15).
2. The Login view pops up. Enter the User name and Password you used to register with
DATIM (Figure 1-18).
Figure 1-18. The DATIM Login view.
3. Click the OK button to close the Login view.
If you see that you are welcomed by name at the top of the DATIM screen (Figure 1-19), you
have successfully logged in!
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Figure 1-19. Username displayed in DATIM.
If you forget your user name or password, please send an email to datim@fs.fed.us to request
help.
Manage Account
All registered users have the ability to manage their account. Here you can update the account
information you provided when you registered for DATIM. For more information on the account
fields, please refer to the User Registration section of this guide.
To manage your account:
1. Login to DATIM.
2. Allow your mouse to hover over the arrow that appears next to your user name at the top of
the DATIM screen. When the Manage Account option appears, click on it (Figure 1-20).
Figure 1-20. Managing Account information.
NOTE:
In order to view this option, the full-screen mode must be off.
3. The Manage Account screen pops up. This screen contains two tabbed-based forms: Details
and Change Password. Use the Details tabbed form to update your friendly name, email
address, and affiliation information. Click the Change Details button to save your changes
(Figure 1-21).
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Figure 1-21. Manage your account- Details tab.
NOTE:
If you would like to discard any changes that are made in either of the tabbed
forms, simply click the Cancel button.
4. Use the Change Password tabbed form to change your password. Enter your new password
twice in the fields provided. Enter your current password and then click the Change
Password button to save your changes (Figure 1-22).
Figure 1-22. Manage your account- Change Password tab.
5. A message will pop up informing you that your account was successfully updated. Click OK
to close the message. Exit the Manage Account screen to return to DATIM by clicking the
“x” in the upper right corner of the view or clicking Cancel.
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Chapter 2: Welcome to DTIM
The Design Tool for Inventory and Monitoring (DTIM) is intended to assist natural resource
managers to design resource inventory and monitoring plans that address their information needs
and are both statistically defensible and cost efficient. DTIM provides a wide selection of
inventory and monitoring objectives, questions, and metrics defined by the U.S. Department of
Agriculture (USDA) Forest Service (FS) and the FS National Forest Regions.
NOTE:
DTIM 4.0 is an incomplete prototype that simulates initial features being
developed and the overall design of the tool. It is included in the DATIM 4.0
package to elicit feedback from users early in the development process. This
prototype includes the steps necessary for designing a monitoring plan only.
The steps used to design an inventory plan will be added to upcoming
versions of the tool.
Introduction to DTIM
Designing a resource monitoring or inventory plan in DTIM involves a number of important
steps. The first three steps involve identifying the broad objectives of the plan, selecting
monitoring questions, and indicating the attributes or metrics necessary to answer the questions.
In upcoming versions of DTIM, you will also be able to assemble and evaluate existing data to
determine if the data are adequate to meet your information needs. If existing data are
inadequate, DTIM will guide you through the process of designing an inventory plan to either
intensify an existing inventory or start a new one. You will be walked through the steps of
selecting precision constraints, estimating sample sizes, and computing the costs associated with
an intensified or new inventory.
The DTIM 4.0 prototype uses a project creation wizard to guide you through these first three
planning steps:
Selecting objectives – DTIM presents a list of broad monitoring objectives based on
nationally and regionally defined needs for forest monitoring, such as forest health,
ecosystem restoration, biological diversity, and forest productivity. You can also create
your own custom objectives. In this step you will select broad objectives based on desired
conditions and outcomes.
Selecting questions – For each objective that you select, DTIM then presents a list of
monitoring questions and indicators organized by relevancy to that objective. Custom
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questions can also be added to your project. In this step you will select one or more
questions for each of your stated objectives.
Selecting metrics– For each objective and question pair, you will then select one or more
metrics from the lists available in DTIM. For example, metrics offered to answer questions
related to crown condition include all live gross volume, basal area, and number of all live
trees. You can also create custom metrics. In this step you will select one or more metrics
for each objective and question combination.
DTIM offers base modules with predetermined sets of selectable objectives, questions, and
metrics according to a specific need or directive. Modules currently available in DTIM for
developing forest plans are focused on the National Forest Management Act (NFMA) 2012
Planning Rule, Food and Agriculture Organization of the United Nations (FAO) Forestry,
National Forest Inventory and Analysis (FIA) plot intensification, the National Forest System
(NFS) Monitoring and Evaluation Framework (MEF, also referenced as M&E), and the Mark
Twain National Forest Monitoring Guide. Other modules, including international modules, are
being developed with alternative sets of objectives, questions, metrics, and calculations.
Advanced users can also create their own custom DTIM modules to serve other management
needs.
For more information on the base modules available in DTIM, see Appendix C - Information
about preloaded DTIM Base Modules.
How DTIM is organized
The DTIM project creation wizard presents a navigation menu with six numbered tasks (Figure
2-) to guide you through the process of designing a basic monitoring plan. Each step links to a
new page containing one or more tasks that you will need to complete. You can navigate
between the tasks by clicking the numbers in the list.
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Figure 2-1. The DTIM navigation menu.
You can also continue to the next task or return to the previous task by clicking the navigation
buttons located in the bottom right-hand corner of each page (Figure 2-2).
Figure 2-2. Navigation buttons to the next and previous tasks.
There is a known bug in DTIM 4.0 that prevents you from moving to the next task using the
navigation menu. Even if you have completed all of the steps on a given page, you will receive a
message asking you to complete the previous steps before continuing. Click OK to close the
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message and use the next and previous task buttons at the bottom right-hand corner of the page
instead (Figure 2-3).
Figure 2-3. Message indicating steps are incomplete.
In the upper right-hand portion of the wizard are additional links that provide access to two very
important areas in DTIM: Save and Project Manager (Figure 2-4).
Figure 2-4. The 'Save' and 'Project Manager' navigation links.
Clicking the Save link opens a dialog where you can save your progress in DTIM. The Project
Manager link opens another dialog where you can access saved DTIM projects for loading or
deletion.
Getting started
To start using DTIM:
1. Login to DATIM (see Chapter 1, Login) and click on design tasks in the navigation menu or
on DTIM in the ribbon as shown in Figure 2-5.
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Figure 2-5. Accessing DTIM from the DATIM navigation menu or the ribbon.
2. When the Design Tasks page opens, click the Click here to navigate to DTIM link (Figure
2-6) to launch the DTIM wizard in a new browser window.
Figure 2-6. The DTIM navigation link.
When DTIM is launched, you are directed to the Welcome page (Figure 2-7) where the tool
and its intended uses are described. Information on navigating the project creation wizard is
also provided.
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Figure 2-7. The DTIM Welcome page.
Designing a DTIM project
The DTIM project creation wizard walks you through six main steps as you design your
monitoring plan. Each task is briefly introduced below.
Step 1: Launch the project creation wizard. The wizard is launched from the DTIM Welcome
page. Read the welcome message to learn a few tips about using the wizard.
Step 2: Select a base module. The base module provides a starting template for your project.
The objectives, questions, and metrics offered are based on a specific need or directive, such as
the 2012 Planning Rule. A base module may not meet all of your particular needs, but you are
not restricted to it. You can always customize your project by adding new objectives, questions,
or metrics of your own making.
Step 3: Select objectives. The list of available monitoring objectives depends on the module you
selected in Task 1. You can also create new objectives for your project. In this step you will
identify one or more objectives for your monitoring plan.
Step 4: Select questions. For each objective you selected, you will now select the questions that
need to be answered to assess how well the objective is being met. You can also create new
questions for your project.
Step 5: Select metrics. For each objective and question combination selected in the previous
steps, in this step you will select one or more metrics to be used to answer the question. This
entails selecting an attribute along with the associated page, row, and column variables.
Collectively, this is referred to as a metric in DTIM.
Step 6: Editing and printing output tables. In this final step, you can edit your output tables in
regards to the metric and PRC combinations chosen for your DTIM project report.
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Launching the wizard
From the Welcome page, click the Base Modules link in the navigation menu or the Start
Wizard button at the bottom of the page to launch the project creation wizard (Figure 2-8).
Figure 2-8. Launching the DTIM project creation wizard.
Continue to the next step and select a base module.
Selecting a base module
In this step you will select a base module to use as a template for your DTIM project.
1. From the Base Module page, you have the option to filter available modules by FS Region
(Figure 2-9). To view only those modules associated with a given Region, use the Region
dropdown list to select your region of interest. To view all of the available modules, select
All Regions from the drop-down list.
Figure 2-9. Filtering base modules by FS Region.
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2. Select a base module by clicking on it. In the example below, the 2012 Planning Rule
module is selected (Figure 2-10).
Figure 2-10. Selecting the base module.
You can view metadata about a module by selecting it in the list. At the bottom of the page is
an area called More Information (Figure 2-11) where you can view the module's owner, the
FS Region it was created for, a description and the name of the user who created it and a
creation time stamp.
Figure 2-11. Additional information about a base module.
3. Once you have selected your base module, click the Objectives button (Figure 2-12) at the
lower right hand corner of the page to proceed.
Figure 2-12. Navigating to the Objectives page.
Continue to the next step and select your monitoring objectives.
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Selecting objectives
In this step you will identify the broad objectives of your monitoring plan based on your desired
conditions or outcomes.
1. From the Objectives page, select one or more objectives from the Available Objectives list
box (Figure 2-13, #1). To select an objective, double-click it or drag and drop it into the
Selected Objectives list box (Figure 2-13, #2). Clicking the Add All button will place all of
the objectives in the Selected Objectives box (Figure 2-13, #3). In the example below, only
one objective is selected: (i) Status of select watershed conditions.
To remove an objective from the Selected Objectives list box, double-click it or drag and
drop it into the Available Objectives list box. Click the Remove All button to move all
selected objectives back in the Available Objectives box (Figure 2-13, #4).
Figure 2-13. Selecting objectives.
2. To add custom objectives to your project, skip to the section on creating custom objectives.
3. When you are finished selecting your objectives, click the Questions button to proceed to the
next step (Figure 2-14).
Figure 2-14. Navigating to the Questions page.
Continue to the next step and select your monitoring questions.
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Selecting questions
Once have identified the broad objectives of your monitoring plan, the next step is to identify the
monitoring questions to be answered to address each of your objectives.
1. At the top of the Questions page, the objective you will be selecting questions for is
displayed in the Current Objective box. If your project has more than one objective, use the
Previous Objective and the Next Objective links to navigate through your objectives
(Figure 2-15).
Figure 2-15. The Current Objective box.
2. Select one or more questions for the current objective. To select a question, double-click it or
drag and drop it from the Available Questions list box into the Selected Questions list box
(Figure 2-16, #1). Clicking the Add All button will place all of the questions in the Selected
Questions box.
Note that the available questions are organized by Most Relevant Questions, Somewhat
Relevant Questions, and Least Relevant Questions (Figure 2-16, #2). These categories are
intended to assist you in selecting appropriate questions for a given objective.

Most Relevant Questions are strongly related to the objective. The answers to these
questions are considered highly valuable and useful in addressing the current
objective.

Somewhat Relevant Questions are only moderately related to the current objective.
The answers to these questions may only be partially useful in addressing the
objective.

Least Relevant Questions are available for your selection, but they are not closely
related to the objective and are not likely to be selected. You can access the Least
Relevant Questions by clicking the Show Least Relevant Questions link (Figure 216, #2).
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Beneath each question are one or more Indicators. These are variables
indicative of specific environmental conditions and determine the types of
metrics needed to answer the questions.
To remove a question from the Selected Questions list box, double-click it or drag and drop
it back into the Available Questions list box. Click the Remove All button to move all
selected questions back in the Available Questions box (Figure 2-16, #3).
In the example below (Figure 2-16, #4), one question is selected: What is the Percentage of
U.S. Forest Service Lands in Selected Watershed(s)?
Figure 2-16. Selecting questions for your current objective.
3. Click the Next Objective link and repeat the previous step to select questions for the next
objective in your list. Repeat for each additional objective in your list.
4. To add custom questions to your project, skip to the section on creating custom questions.
5. When you are finished selecting questions for each project objective, click the Metrics
button to proceed to the next step (Figure 2-17).
Figure 2-17. Navigating to the Metrics page.
Continue to the next step and select your metrics.
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Selecting metrics
In this step you will select one or more metrics that need to be collected to answer each objective
and question combination included in your project.
1. The question you will be selecting metrics for is displayed in the Current Question box at
the top of the page. Use the Previous Question and the Next Question links to navigate
through your list of questions (Figure 2-18).
Figure 2-18. The Current Question box.
2. Select a metric for the current question using the Metric drop-down list (Figure 2-19, #1).
Note that available metrics are organized by Most Relevant, Somewhat Relevant and Least
Relevant. These categories are intended to assist you in selecting appropriate metrics for a
given question

Most Relevant metrics are strongly related to the associated question. These metrics
are considered highly valuable and useful in answering the current question.

Somewhat Relevant metrics are only moderately related to the current question.
These metrics may only be partially useful in addressing the associated question.

Least Relevant metrics are available for your selection, but they are not closely
related to the current question and are not likely to be selected. You can access these
metrics by clicking the Show Least link (Figure 2-19, #2).
Figure 2-19. Selecting a metric from the available metrics list.
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3. Select the Page, Row, and Column variables using the three drop-down menus to design the
output table for the metric (Figure 2-20, #1).
4. Click the Add button (Figure 2-20, #2) to finalize your selections.
Figure 2-20. Selecting and adding your page, row and column selections.
5.
Your added metric and associated page, row, and column variables are now added to the
Selected Metrics box (Figure 2-21, #1).
To remove a metric from your list of selected metrics, click the Remove link (Figure 2-21,
#2).
Figure 2-21. The ‘Selected Metrics’ box with the added metric.
CAUTION!
If you fail to click the Add button before navigating to the next or previous
step, the current metric selection will not be saved to your project.
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6. Click the Next Question link and repeat steps 1-3 for each additional question in your list.
7. To add custom metrics to your project, skip to the section on creating custom metrics.
8. When you are finished selecting metrics for each question in your list, click on the Output
Tables button to proceed to the next step (Figure 2-22).
Figure 2-22. Navigating to the Output Tables Page.
Continue to the next step and edit your output tables.
Editing and printing the output tables
In this prototype you can edit and print your output tables. In future versions of DTIM, you will
be provided with an editable table for each objective, question and metric combination.
Editing the output tables
1. Click the linked metric name you would like to edit (Figure 2-23).
Figure 2-23. Editing a metric in the output table.
2. The Update Output Table Values window pops up. Use the drop-down lists to make any
desired changes to the Metric, Page, Row, and Column values (Figure 2-24).
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Figure 2-24. The Update Output Table Values window.
3. When you are finished updating the output table, click OK to save your changes. Or, if you
decide not to edit your selections, click Cancel. You will be returned to the Output Tables
page.
Printing the output tables
To print your output tables:
1. Click the Print Preview link located at the top of Output Tables page (Figure 2-25).
Figure 2-25. The print preview link displayed on the Output Tables page.
2. A new tab will open in your browser with a printer-friendly version of your project’s output
tables (Figure 2-26).
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Figure 2-26. The Print Preview window.
3. From the browser Menu bar, select File (Figure 2-27, #1) and then Print (Figure 2-27, #2).
Figure 2-27. Printing the output tables.
4. From your local Print dialog window, select the desired printer and then click the Print
button (Figure 2-28).
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Figure 2-28. Printing from your local Print dialog.
Saving a DTIM project
To save your project in DTIM, you must be a registered and logged in user.
NOTE:
A DTIM project can be saved at any time during the creation process. It is not
necessary to wait to finish the DTIM project creation wizard steps in order to
save your project.
1. Click the Save link in the upper right corner of the DTIM project wizard page (Figure 2-29).
Figure 2-29. The Save link on the Output Tables page.
The Save Project window opens (Figure 2-30).
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Figure 2-30.The Save Project window.
2. In the Project Name text box, enter a brief name for your project (Figure 2-31, #1). The
name should be descriptive enough so that it can be differentiated from other DTIM projects,
but brief enough that it fits within the text box provided.
3. In the Project Description text box, type a description of the DTIM project (Figure 2-31,
#2). The description serves a variety of purposes, such as to remind you why you created the
project and its intended usage. The description will be saved along with the project name so
that you can easily access it again later.
4. Click the Save button to save your new project to DTIM (Figure 2-31, #3).
Figure 2-31. Naming, describing, and saving a project.
5. A Project Creation Wizard Message pops up (Figure 2-32) confirming that your project
was saved. Any changes made to the project from this point on will be saved automatically
when you move to another step. Click OK to close the notification.
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Figure 2-32. The Project Creation Wizard Message.
After you save your project, the Save link is replaced with a New link (Figure 2-33). Clicking
the New button will return you to the Welcome page where you can begin designing a new
DTIM project.
Figure 2-33. The New project link.
Using the Project Manager to open and delete
projects
The Project Manager is used to open and delete existing projects in DTIM.
Opening a saved project
1. Click the Project Manager link in the upper right-hand corner of the screen (Figure 2-34).
Figure 2-34. The Project Manager link.
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2. When the Project Manager opens (Figure 2-35), use the Project Name drop-down list to
view the projects saved to DTIM. Select the project you would like to open.
Figure 2-35. The Project Manager window.
3. Click the Load button to open the selected project (Figure 2-36).
Figure 2-36. Loading a saved DTIM project.
Your project will open to the step you were on when your progress was last saved.
Deleting a saved project
1. Click the Project Manager link in the upper right hand side of the DTIM application (Figure
2-37).
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Figure 2-37. The Project Manager link.
2. When the Project Manager window opens, use the Project Name drop-down to select the
project you would like to delete.
3. Click the Delete button (Figure 2-38,).
Figure 2-38. Deleting a saved DTIM project.
4. A Delete Project message will pop up asking you to confirm the deletion. Click the Delete
button to confirm (Figure 2-39).
Figure 2-39. The Delete Project confirmation window.
Once your project has been deleted, you will be returned to the Project Manager window.
The deleted project will no longer be available in the Project Name drop-down list.
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Creating custom objectives, questions, and metrics
When you begin creating a new project in DTIM, you are obligated to select a base module to
serve as a template. Even so, you are not limited to the objectives, questions, and metrics offered
by that module. You can always add your own custom objectives, questions, and metrics to your
project.
CAUTION!
When creating a new objective, you must also create new questions and
metrics for that objective. Likewise, a custom question require a custom
metric for that question. This is a known issue that will be addressed in
version 5.0.
Creating custom objectives
There are two ways to create a custom objective and add it to your DTIM project: 1) You can
add a new objective through text entry; or, 2) You can edit an existing objective and save it as a
new one. Both methods are described here.
Adding new objectives
1. From the Objectives page, click the Create New Objective link in the Project Features box
in the lower right corner (Figure 2-40).
Figure 2-40. The ‘Create New Objective’ link.
2. The New Objective window opens. Type your new objective in the Objective Text box and
then click Save (Figure 2-41).
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Figure 2-41. Creating a new objective.
3. When you return to the Objectives page, your new objective will already be selected and
available in the Selected Objectives list box (Figure 2-42).
Figure 2-42. The newly created objective displayed in the Selected Objectives list box.
4. Repeat the previous steps to add any additional custom objectives.
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Editing objectives
To edit an existing objective and save it as a new custom objective:
1. From the Objective page, select the objective you wish modify from the Available
Objectives box. In the example below, the objective (i) Status of select watershed
conditions is selected (Figure 2-43, #1).
2. Click the Create New Objectives link in the Project Features box (Figure 2-43, #2).
Figure 2-43. Editing an existing objective.
3. When the New Objective window opens, click the Create from Currently Selected
Objective link (Figure 2-44).
Figure 2-44. The Create from Currently Selected Objective link.
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4. The selected objective is copied to the Objective Text box. Edit the text to suit your needs
and then click Save (Figure 2-45).
Figure 2-45. Editing an existing objective.
5. When you return to the Objectives page, your new, edited objective will already be selected
and available in the Selected Objectives list box (Figure 2-46).
Figure 2-46. The edited objective displayed in the Selected Objectives list box.
Creating custom questions
As with custom objectives, there are two ways to create a custom question and add it to your
DTIM project: 1) You can add a new question through text entry; or, 2) You can edit an existing
question and save it as a new one. Both methods are described here. Due to a known bug in
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DTIM, a custom question is only available for the current objective you are working with. If you
want to use the same custom question for multiple objectives, you will have to re-create the
question multiple times.
Adding new questions
1. On the Questions page, scroll through the list of selected objectives until you find the one
you want to create a new question for (Figure 2-47, #1).
2. Click the Create New Question link in the lower right corner of the page (Figure 2-47, #2).
Figure 2-47. Selecting the Create New Question link on the Questions page.
The New Question window opens (Figure 2-48).
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Figure 2-48. The New Question window.
3. Type your new custom question in the Question text box and then enter the associated
indicator in the Indicator text box (Figure 2-49). Click the Save button to add your custom
question to your DTIM project.
Figure 2-49. Naming and describing your new question and indicator.
4. When you return to the Questions page, your new question will already be selected and
available in the Available Questions box. By default, the new question will fall under the
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Somewhat Relevant category (Figure 2-50). In future versions of DTIM, you will be able to
assign the appropriate category for your custom question.
Figure 2-50. The new question displayed in the Available Questions list box.
5. Repeat this process for any additional questions you wish to create and associate with a given
objective.
Editing questions
To edit an existing question and save it as a new custom question:
1. From the Questions page, select the question you wish modify from the Available
Questions box (Figure 2-51, #1).
2. Click the Create New Questions link in the lower right-hand portion of the page (Figure 251).
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Figure 2-51. Selecting the Create New Question link on the Questions page.
3. When the New Question window opens, click the Create from Currently Selected
Question link (Figure 2-52).
Figure 2-52.The Create New Question window.
4. The selected question will be copied to the Question text box, and the associated indicator
will also be copied to the Indicator text box. Edit the question and indicator to suit your
needs and then click Save (Figure 2-53).
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Figure 2-53. The edited question and indicator on the New Question window.
5. Return to the Questions page. Your new question and indicator is now available for selection
in the Available Questions box under the Somewhat Relevant Questions category (Figure
2-54).
Figure 2-54. The edited question and indicator displayed in the Available Questions list box.
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Creating custom metrics and page, row, and column variables
As with custom objectives and questions, there are two ways to create a custom metric and add it
to your DTIM project: 1) You can add a new metric through text entry; or, 2) You can edit an
existing metric and save it as a new one. Both methods are described here. Due to a known bug
in DTIM, a custom metric is only available for the current question you are working with. If you
want to use the same custom metric for multiple questions, you will have to re-create the metric
multiple times.
Adding new metrics
1. From the Metrics page, scroll through the list of question until you find the one you want to
create a new metric for (Figure 2-55, #1). Use the Previous Question and Next Question
links to scroll through that list.
2. Click the Create Metric link at the bottom of the page (Figure 2-55, #2).
Figure 2-55. Selecting the Create Metric link on the Metrics page.
3. When the New Metric window opens, type your new metric into the Metric Text box
(Figure 2-56) and then click Save.
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Figure 2-56. Adding a new metric.
4. When you return to the Metrics page, your new metric will already be selected in the Metric
drop-down menu (Figure 2-57).
Figure 2-57. The new metric is now available in the Metric drop -down list.
5. Repeat this process for any additional metrics you would like to create.
Editing metrics
To edit an existing metric and save it as a new custom metric:
1. From the Metrics page, select the metric you want to edit from the Metric drop-down list
(Figure 2-58). Be sure this metric corresponds to the Current Question you want to create
the custom metric for.
2. Click the Create Metric link at the bottom of the page (Figure 2-58, #2).
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Figure 2-58. Opening the Create Metric link to edit an existing metric.
3. When the New Metric window opens, click the Create from Currently Selected Metric
link (Figure 2-59).
Figure 2-59.The Create from Currently Selected Metric link on the New Metric notification.
4. The selected metric is copied to the Metric text box. Edit the metric as necessary and then
click Save (Figure 2-60).
Figure 2-60. Editing an existing metric.
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5. When you return to the Metrics page, your new metric will already be selected and displayed
in the Metric drop-down list (Figure 2-61).
Figure 2-61. The edited metric displayed in the Metric drop -down list.
Adding new page, row, and column variables
1. From the Metrics page, scroll through the list of question until you find the one you want to
create a new metric for (Figure 2-62, #1). Use the Previous Question and Next Question
links to scroll through that list.
2. Click the Create PRC link at the bottom of the page (Figure 2-62, #2).
Figure 2-62. Selecting the Create PRC link on the Metrics page.
When the New Page, Row, Column Value window opens, type your custom value in the
Page, Row, Column Text box (Figure 2-63) and then click Save.
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Figure 2-63. Entering a custom value in the New Page, Row, and Column Value window.
3. When you return to the Metrics page, your new variable will be selected by default for all
three variables: Page, Row, and Column (Figure 2-64). Be sure to modify the selections of
at least two of these.
Figure 2-64. The new PRC variable displayed in the Page, Row, and Column drop -down menus.
4. Repeat this process for any additional PRC variables you want to create.
Editing page/row/column variables
To edit an existing page, row, or column variable and save it as a new custom variable:
1. From the Metrics page, select the variable you want to edit from the Page drop-down list in
the Available Metrics box. In the example below, the Forest Type Group variable is
selected (Figure 2-65, #1).
NOTE:
PRC variables can only be edited from the Page drop-down menu. However,
your edits will also be applied to the Row and Column drop-down menus.
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2. Click the Create PRC link at the bottom of the page (Figure 2-65, #2).
Figure 2-65. The steps to open the Create PRC window.
3. When the New Page, Row, Column Value window opens, click on the Create from
Currently Selected Page link (Figure 2-66).
Figure 2-66. The Create from Currently Selected Page link.
4. The selected PRC variable is copied to the Page, Row, and Column Text box. Edit the
variable to suit your needs and then click Save (Figure 2-67).
Figure 2-67. The edited Page, Row, and Column value.
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5. When you return to the Metrics page, your new variable will have been automatically
selected in each of the Page, Row, and Column drop-down lists (Figure 2-68). Be sure to
modify the selections of at least two of these.
Figure 2-68. The edited PRC variables displayed in the Available Metrics box.
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Chapter 3: Welcome to ATIM
The Analysis Tool for Inventory and Monitoring (ATIM) was developed to provide Forests
and Regions of the USDA Forest Service (FS) with a nationally consistent tool for analyzing
resource inventory and monitoring data. ATIM enables National Forest System (NFS) personnel
to derive estimates of current conditions for attributes associated with vegetation to meet
information needs on Forests and surrounding landscapes. It is also used by the Design Tool for
Inventory and Monitoring (DTIM) to evaluate whether existing data are sufficient to meet
information needs. If existing data are insufficient, then information pertaining to the precision
of estimates is utilized by DTIM to determine the additional sampling needed.
The analysis reports created in ATIM provide unbiased, sample-based estimates of population
parameters and associated sampling errors for various natural resource inventories. Statistically
sound estimates of the current status and trends of vegetation and associated attributes are
fundamental to:

developing Forest Plan components;

Forest Plan monitoring associated with vegetation;

monitoring of broad-level incidence and spread of invasive plant species;

monitoring and management of wildlife habitat, including cumulative effects analysis for
project level planning; and,

monitoring and management of fuels.
Adaptive approaches are needed to address emerging monitoring requirements at the forest and
landscape levels associated with climate change, carbon, biofuels, and forest certification.
In order to monitor key components of vegetation diversity over time, the inventory must have
the same attributes measured at the same locations with remeasurements occurring over a
meaningful time period. Forest Inventory and Analysis (FIA) data on forest and nonforest
National Forest lands (where available), and data from similar National Forest inventories
provide statistically-based inventories appropriate for your use in broad-level planning and
analysis. ATIM enables you to derive unbiased estimates and confidence intervals for large
landscapes such as National Forests. In addition, since the inventories used in ATIM represent a
spatially balanced sample across all lands, they can be associated with various spatial datasets
such as ecological section or existing vegetation layers to describe vegetation characteristics
within each map strata. ATIM’s integration with the Spatial Intersection Tool (SIT) enables
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users to focus the analysis on a geographic area of interest, summarize the results using mapbased attributes, and produce map products via ArcGIS.
Although ATIM will be made publicly accessible, the tool was specifically designed to be a
Forest Service wide application to assist Forest and Regional Administrators of the NFS, as well
as the Forest Inventory Analysis (FIA) (http://www.fia.fs.fed.us/) National Program, to conduct
and improve inventory and monitoring data analyses.
Introduction to ATIM
Statistically sound estimates of the current status and future trends of vegetation attributes are
fundamental to Forest management planning. In order to monitor key components of vegetation
diversity over time, the natural resource inventory used to derive current estimates must be
design-based.
NOTE:
A design-based inventory includes sampling that is random or spatially
balanced to ensure an even sample across the population, with known and
positive probabilities of selection for all sampling units in the population, and
with associated metadata that describes the sampling methods (Bechtold
and Patterson, eds. 2005).
ATIM analyses comprise resource inventory datasets known as DATIM datasets. The resource
data used to create DATIM datasets constitute design and statistically-based inventories
necessary for broad-level forest planning and analysis, including FIA annual inventories, FIA
periodic surveys, and Regional FS datasets. These inventory datasets serve as the building blocks
of ATIM analyses and reports. Because the inventories used by ATIM represent spatially
balanced samples across all lands, you can also use SIT to access those datasets and intersect
plot-based data with various geospatial layers.
Creating an analysis in ATIM begins with the selection of one or more resource inventory
datasets for a population of interest. Datasets are available for tabular selection by State, National
Forest, or by making spatial selections in the Spatial Selection View. The Spatial Selection
View provides access to spatial datasets via ArcMap in ArcGIS Desktop
(http://www.esri.com/software/arcgis/arcgis-for-desktop) where datasets are selected using
spatial queries to identify the population of interest. ATIM stores the resource inventory datasets
associated with a population of interest in an analysis. It then uses that analysis to generate
estimates of selected resource inventory variables and store them in an analysis report.
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Introduction to analysis tasks
ATIM presents various analysis tasks that you can select from the DATIM navigation menu.
There are five tasks available to registered users:
1) open analysis;
2) close analysis;
3) create analysis report;
4) run reports;
5) view report results; and
Here we briefly introduce each of the five analysis tasks.
Open analysis
The open analysis task selects and opens an existing ATIM analysis. It is available in the
navigation menu if an analysis is not already open. An analysis must be open before you can run
reports. Opening an analysis also allows you to view the Analysis Properties which contains
information about the analysis such as a description, creation date, creator, last modification date
and by whom, source datasets (DATIM subsets), and any associated SIT variables used in the
analysis. All analyses stored in the DATIM data mart are available to all users regardless of who
created it.
Close analysis
The close analysis task is used for closing an analysis. It is available in the navigation menu only
when an analysis is already open. An analysis must be closed before another analysis is opened
or created. Two analyses cannot be open simultaneously.
Create analysis report
The create analysis report task creates analysis reports and standard report templates. This task
is available in the navigation menu only when an analysis is open.
Run reports
The run reports task runs standard reports, saved analysis reports, and unsaved session report,
against an open analysis. Running a report opens the Report Results page which displays the
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report output in table format. The table contains estimates of the selected variable along with the
associated sampling error percentages or confidence intervals. This task is available in the
navigation menu only when an analysis is open.
View report results
The view report results task returns you to the Report Results page where the results of any
open reports can be viewed. The user can view results of all types of reports, including standard
reports, analysis reports, and unsaved session reports. This task is available in the navigation
menu only after a report is run and results have been generated.
Getting started with ATIM
To begin your work in ATIM:
1.
After logging into DATIM, click on analysis tasks in the navigation menu, or on ATIM in
the ribbon. This will expand the list of available analysis tasks in the navigation menu
(Figure 3-1).
Figure 3-1. Navigating to ATIM.
2. Click on one of the available analysis tasks in the navigation menu to begin working with
ATIM.
One analysis task is available to registered users for selection: open analysis (Figure 3-2).
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Figure 3-2. Analysis task(s) initially available to users based on their user permissions.
When you open an existing analysis (by selecting the open analysis task), the analysis tasks
available for selection in the navigation menu will be updated depending on your user role. If
you are a registered user, the available tasks will include: run reports, create analysis
report, analysis properties and close analysis (Figure 3-3).
Figure 3-3. Available analysis tasks when an ATIM analysis is open.
To run a standard report, select the run reports task from the navigation menu. To create a
new report based on the open analysis, or to design a standard report template for use with
other compatible analyses, select the create analysis report task from the navigation menu.
To create a different analysis from the one that is open, the first open analysis must be
closed. To do this, select close analysis from the navigation menu and then select the open
analysis task.
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Working with ATIM analyses
As an explanation to what an ATIM analysis is, it is necessary to understand DATIM datasets
and its subsets which serve as the building blocks of ATIM analyses. The following will describe
how to create a new ATIM analysis by selecting DATIM datasets for a population of interest,
naming and describing the analysis, and then saving the analysis to the DATIM data mart. It will
also explain how to open an analysis, how to work with the open analysis table, and how to close
an analysis.
Understanding the ATIM a nalysis
An ATIM analysis consists of one or more resource inventory datasets used to generate analysis
reports.
When an administrative user creates a new analysis in ATIM, one or more resource inventory
datasets (available from the DATIM data mart as DATIM datasets) are selected for a population
of interest. The datasets selected with other inputs is known as the ATIM analysis. The ATIM
analysis serves as the basis of reports.
For more information about DATIM datasets, see Appendix B – Understanding DATIM
Datasets.
Opening an analysis
Any analysis created in ATIM will be accessible to all users for as long as it exists in the DATIM
data mart. The open analysis task enables you to view the Analysis Properties page, where
metadata about the analysis is provided. Because the analysis contains the data on which reports
are based, opening an analysis also enables you to run existing reports and create new analysis
reports.
To open an analysis:
1.
Login to DATIM and click on ATIM in the ribbon or analysis tasks in the navigation
menu.
2.
Select open analysis from the navigation menu. The Open Analysis page opens.
The Open Analysis page presents a table cataloging every ATIM analysis stored in the
DATIM data mart. Each row in the table contains information about a single analysis,
including the analysis name, description, creator, creation date, and the date it was last
modified.
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3.
Select an analysis by clicking on it so that it is highlighted. In our example (Figure 3-4, #1),
we have selected the Missouri 2006-2010 analysis. The name of the selected analysis is also
displayed at the bottom of the page.
NOTE:
4.
Welcome to ATIM
In order to optimize your data search, there are a variety of customizable
features provided within the table on the Open Analysis page. Refer to the
section titled Working With the Open Analysis Table in ATIM in Appendix D
for an overview of these features.
Click on the Open Analysis button (Figure 3-4, #2) to open the analysis and view the
Analysis Properties page.
Figure 3-4. Opening an analysis from the Open Analysis page.
Once the analysis has successfully opened, you will notice that the name of your open analysis is
displayed at the top of the DATIM screen (Figure 3-5).
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Figure 3-5. The name of the open analysis is displayed at the top of the DATIM screen.
The Analysis Properties page will open where you can view metadata about the analysis. It also
provides the option to pass the analysis over to SIT where you can create new variables in
ArcMap.
Viewing the analysis properties
When an existing analysis is opened, the Analysis Properties page is displayed. This page
contains basic metadata about the ATIM analysis in three expandable sections: General
Information, Datasets, and SIT Variables. To expand or collapse a section, click the arrow
next to each section title.
General Information section ( provides the following metadata about the
creation of the analysis: ( Figure 3-6).

Description: The analysis description that typically gives the state, inventory year, and
estimate attributes.

Created: The date and time the analysis was originally created.

Created by: The name of the analyst who created the analysis.

Last modified: The date and time that the analysis was last modified.

Last modified by: The name of the analyst who last modified the analysis.
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Figure 3-6. The ’General Information’ section.
The Datasets section (Figure 3-7) provides the following metadata about the DATIM
datasets included in the analysis:

Description: The description of the DATIM dataset which typically gives the source
evaluation identifier, the state and inventory year, the data collection years, and the
estimate attributes.

Census Water Sampled: Indicates whether or not census water was sampled for the
inventory.

Created: The date and time the dataset was originally created.

Created By: The data steward who created the source dataset.

Sampling Method: The sampling method used to collect the data.

Dataset ID: The unique identifier assigned to the dataset by the ETL (extract, transform
and load) process. This ID is particularly useful to administrative users who use DCS to
create datasets as it helps identify the source.
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Figure 3-7. The ‘Datasets’ section.
TIP:
For more information on DATIM datasets, refer to the section titled Understanding
DATIM datasets in Appendix B.
The SIT Variables section ( Figure 3-8) provides the following metadata
about any SIT variables included in the analysis:



Name: The name assigned to the SIT variable.
Description: The description of the variable.
Created By: The analyst who created the variable.


Created: The date and time the variable was originally created.
Status: Indicates whether the variable has finished loading to the DATIM data mart.
This section also provides the option to delete SIT variables or create new variables. To add a
new SIT variables to the analysis, click the Create New button (Figure 3-8). This will pass the
analysis to SIT where you can add additional variables in ArcMap.
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Figure 3-8. The ‘SIT Variables’ section.
When you are finished viewing the Analysis Properties and adding any new SIT variables to the
analysis, you will be ready to start work with ATIM reports.
Closing an analysis
If you are finished working with an analysis or want to open a different analysis, you must close
the currently open analysis.
To close an analysis, click on the close analysis task in the DATIM navigation menu (Figure 39).
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Figure 3-9. Closing an analysis.
Working with ATIM reports
In this section we guide you through the three reporting tasks in ATIM: run reports, create
analysis report, and view report results. First, you will learn how to run unsaved session
reports, saved analysis reports, and standard reports. Next you will learn how to create a custom
analysis report to generate estimates and associated sampling errors, variances, and confidence
levels. You will then learn how to save a report design to the analysis or as a standard report
template. Finally, you will learn how to view analysis report results and save the report results to
your local file directory.
Running reports
There are three categories of reports that you can generate for a given analysis:
Unsaved Session Reports: Includes any unsaved reports that you designed and ran or
previewed during the current ATIM session.
Saved Analysis Reports: Includes any reports created by administrative users and saved
to the open analysis. This type of report can be run against the original analysis.
Standard Reports: Includes standard reports preloaded in ATIM and any reports created
by administrative users and saved as standard report templates. Any user can run a
standard report against any compatible analysis.
Each report type is accessed by selecting the run reports task.
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Running an unsaved session re port or a saved analysis report
To run an unsaved session report or saved analysis report in ATIM:
1. Open the analysis you want to generate a report for.
2. When the Analysis Properties page opens, select run reports from the navigation menu
(Figure 3-10).
Figure 3-10. Selecting and opening the analysis to which the report was saved.
3. The Run Reports page opens. To expand the lists of unsaved session reports, saved
analysis reports, and/or the standard reports click on the gray arrows next to each category
(Figure 3-11).
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Figure 3-11.Expanding a list of available reports.
When you first open the analysis, no unsaved session reports will be listed. This is because
you have not yet run any reports. Once you have run one or more reports but not yet saved
them, they will become listed under the unsaved session reports category.
4. Select one or more reports you want to run by clicking each box to insert a check mark. In
the example below, we have selected the only report available in the saved analysis reports
category for this analysis (Figure 3-12, #1).
Each time you select a report, it is added to the Selected reports box (Figure 3-12, #2). In
addition to the report name are other details about the report design, such as its description,
estimate attribute, filters, and report breakdowns.
5. Click the Run button at the bottom of the page to run the selected reports (Figure 3-12, #3).
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Figure 3-12.Selecting and running reports from the 'Run Reports' page.
A series of progress bars will become displayed while your request is being processed. When
the processing is complete, the Report Results page will open.
Running standard reports
There are two types of standard reports in ATIM: (1) ATIM standard reports preloaded in ATIM;
and, (2) standard reports created by administrative users. Each type is described below.

ATIM standard reports are report templates preloaded in ATIM that represent common
FIA retrievals from the Forest Inventory Data Online
(http://apps.fs.fed.us/fia/fido/index.html) (FIDO) application. ATIM provides access to
various kinds of standard reports, including area, tree and seedling count, net and gross
volume, average annual net growth, carbon, and biomass reports. In later versions of ATIM,
standard reports will include addition tree growth, tree removal, and tree mortality reports.
Each standard report in ATIM is available for forest land or timberland or both. A list of the
standard report templates available in ATIM are given in Appendix E.
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Forest land is defined as land having at least 10 percent canopy cover of live
tally tree species of any size, or at least 10 percent canopy cover of live tally
species in the past, based on the presence of stumps, snags, or other evidence
(USDA FS 2012a). Timberland is defined as forest land that is capable of
producing at least 20 cubic feet per acre per year at culmination in fully
stocked, natural stands (1.4 cubic meters/hectare/year) of continuous crops
of trees to industrial roundwood size and quality (Woudenberg et al. 2010).
User-created standard reports are designed by administrative users and made available to
all ATIM users.
The standard report designs available in ATIM must be run against compatible ATIM
analyses. An analysis is compatible if it contains the same attribute or attributes included in
the standard report design, including the estimation variable and the page, row, column and
filter variables being collected and computed in the analyses for use in the report. In addition,
at least one dataset in the analysis must have the same estimation scope as the report design’s
estimate attribute. For example, if you want to run a standard area report that calculates the
number of acres inventoried, then you must open an analysis comprising at least one DATIM
dataset with Area as an attribute.
The standard reports available for selection in ATIM include a mix of FIA standard reports
and standard reports designed by administrative users. You can run one or more standard
reports against a single compatible analysis.
To run a standard report in ATIM:
1. Open the analysis you want to generate a report for and then select run reports from the
navigation menu (Figure 3-13, #1).
TIP:
If you do not see the run reports task in the navigation menu, it means you did not
open an analysis first. You must open an analysis before you can run an analysis
report.
2. When the Run Reports page opens, click the arrow for Standard Reports to expand the list
of available standard reports (Figure 3-13, #2).
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Figure 3-13. Selecting the 'run reports' task and expanding the list of available standard reports.
3. Select one or more reports you want to run by clicking the box preceding the report name to
insert a check mark. In our example (Figure 3-14), we have selected the ATIM02.1 f-AREA
standard report.
Figure 3-14. Selecting standard reports to run.
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You can select as many reports as you desire in this step and run them as a batch where each
report is processed in turn. You will only need to click on the Run button once to run them
all.
To view a report's description without selecting it, allow your mouse pointer to hover over
the report name (Figure 3-15).
Figure 3-15. Viewing the description of a standard report.
You can also view detailed information about each report by selecting it. An overview of
each selected report is displayed in the Selected reports box on the right-hand side of the
page (Figure 3-16).
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Figure 3-16. Viewing detailed information about selected reports.
The Selected reports box provides the following detailed information:

Report – The name of the standard report.

Description – The report's description.

Estimate – The variable to be estimated in the report.

Filters – Any filter variables applied to the analysis to subset the data for the purpose of
limiting the report. Some filters apply to land, which relate to FIA condition class
variables such as forest type, ownership, and stand-size. Other filters apply to trees,
which relate to specific tree data variables such as species, diameter, and height.
Filters for the selected reports shown in Figure 3-17 include the LU major (major land
use) filter which indicates the FIA condition status code assigned to the sampled area,
and the Status filter which indicates the FIA tree status code assigned to the measured
trees.

Row var – The row variable used to display a single grouping of the variable for each
row in the report table.

Column var – The column variable used to display a single grouping of the variable for
each column in the report table.
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For more information about FIA classes, codes, variables, and other data
definitions, refer to the FIADB User Guide, which can be accessed at the
following web address: http://www.fia.fs.fed.us/library/database-documentation
(O’Connell et al. 2015).
You can deselect any report you do not want to run by clicking on it a second time to
remove the check mark, which will also remove its summary from the Selected reports
box.
If you select a report that is not compatible with the analysis that is open, a message will be
displayed in the Selected reports section indicating that the design is invalid (Figure 3-17).
You will not be able to run this report. You will need to deselect the invalid report and
select a valid report before continuing.
Figure 3-17. Invalid Design error for a selected report.
4. Click the Run button to run the selected reports (Figure 3-18).
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Figure 3-18. Running selected standard reports.
While the reports are running, a series of messages will display, informing you of the status
of the run process. When the run process is complete, the results of each report will be
displayed on the Report Results page (Figure 3-19).
Figure 3-19. The 'Report Results' page.
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You can also run standard reports from the Create Analysis Report page by
scrolling through the list of available report titles and running reports.
For information on viewing report results, see the section on Viewing Report Results.
For information on saving the report results, see the section on Saving Report Results.
Creating a new analysis report
If none of the available standard reports meet your specific needs, you can create your own
custom analysis report, run it against the open analysis, and view the report results. Registered
users are able to save the report to the analysis.
To design a new analysis report, you will need to complete seven main steps:
Step 1: Open an analysis and select the create analysis report task.
Step 2: If desired, copy an existing analysis report to use as a template for the new report.
Step 3: Name and describe the report.
Step 4: Select the report content.
Step 5: Select the dataset filters.
Step 6: Select run options.
Step 7: Run the report and view the output.
Getting started
To get started designing a new report:
1. Open an analysis to serve as the basis of your report.
2. When the Analysis Properties page opens select create analysis report from the navigation
menu (Figure 3-20).
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Figure 3-20. Selecting the ‘create analysis report’ task.
TIP
If the create analysis report task in the navigation menu is not there, it means that
the analysis was not opened. Open an analysis before creating a report.
The Create Analysis Report page opens (Figure 3-21). Notice that a sampling method is
displayed in the Current Report Design box. The sampling method used to calculate reports
is derived from the DATIM datasets included in the analysis you just opened. It was the
sampling method used to collect the underlying resource inventory data.
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Figure 3-21. The ‘Create Analysis Report’ page.
3. Continue to the next step to use an existing report as a template for your custom report. If
you will be starting a custom report from scratch, skip ahead to naming and describing the
report.
Using an existing report as a template
To use an existing report as a template for your new report:
1. On the Create Analysis Report page, scroll through the list of available reports using the
forward and back toggle buttons (Figure 3-22, #1). Stop scrolling when you find the report
you want to use as a template.
NOTE:
As you scroll through the list of available reports, if you are the owner of a
particular report and want to rename or delete it, you can click on the
Rename or Delete buttons respectively. These buttons are located in the
upper right hand portion of the Create Analysis Report page.
2. Click the Create Copy button (Figure 3-22, #2).
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Figure 3-22. Copying an existing report use as a template to create a new analysis report.
While copying an existing analysis report and using it as a template for creating a new report,
the original selections and settings for that report will also be copied. You can modify those
selections however you desire as this will become your own custom report.
3. Continue to Step 3 to name and describe your report.
Naming and describing the report
1. Enter a brief name for your report in the Title field as shown in Figure 3-23, #1. The name
should be descriptive and unique, but brief enough that it fits within the text box provided.
We recommend a report name that uses the State or Region inventoried followed by the
inventory years (e.g., Missouri 2006-2010).
NOTE:
The report name and description combination must be unique. If you enter a
name and description that already exists in the DATIM data mart, you will get
a “Save Report Design Error” message, indicating that a report with that
name already exists. Click OK to close the error message and enter a new
report name or a new description, or both.
2. In the Description text box, type a description of the report using 255 characters or less, as
shown in Figure 3-23, #2. The description should be a reminder as to why the report was
created and its intended use. The description will be saved along with the report name so that
you can easily locate it again later.
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Figure 3-23. Naming and describing the New Report.
Continue to the next step to select your report content.
Selecting report content
The first tab-based form, Report Content (Figure 3-24), is where you will specify the content of
your report, including the attribute to calculate estimates for (also referred to in ATIM as the
"estimate variable") and how the report is to be broken down. The report breakdowns will
determine how the report pages, rows, and columns will be grouped. By default, this is the first
tabbed form displayed when navigating to the Create Analysis Report page.
Figure 3-24. The 'Report Content' form.
1. Select the estimate attribute.
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In this step, you will select the inventory attribute or condition that you want to estimate. The
attributes available for selection are listed in the box beneath the Calculate estimates for:
label (Figure 3-25). To select an attribute, click the box to insert a checkmark. Only one
attribute may be selected for a given report. To clear your selection, click on the attribute's
checkbox to remove the check mark. Alternatively, selecting a different attribute will
automatically deselect the first attribute.
In the example shown in Figure 3-25, we will calculate estimates for Area.
Figure 3-25. Selecting an attribute to calculate estimates for in the 'Create Analysis Report' view.
The selected attribute is displayed in the Current Report Design box along with the source
of the estimation method. In our example (Figure 3-25) calculating estimates for Area will be
based on the FIA Green Book methods.
The FIA Green Book (http://www.srs.fs.usda.gov/pubs/gtr/gtr_srs080/gtr_srs080.pdf) is the
short name for The Enhanced Forest Inventory and Analysis Program—National
Sampling Design and Estimation Procedures by William A. Bechtold and Paul L.
Patterson (Editors), U.S. Forest Service, Southern Research Station, General Technical
Report SRS-80.
NOTE:
The steps covered thus far must be completed before users can save the new
report. The Save to analysis button will only be enabled when the report has
been named and described and an attribute to calculate estimates for has
been selected.
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2. Select report breakdowns.
In this step, there is an option to specify how the reported estimates will be broken down into
various types of subtotals. By using the drop-down lists provided beneath the Report
Breakdowns (optional) label on the Report Content tab, you can indicate how the report is
formatted into pages, rows, and columns by selecting grouping variables (Figure 3-26Error!
Reference source not found.). All three components of the report (pages, rows, and
columns) can be grouped individually or in combination, or you can choose not to select any
report breakdowns . If you do not select any report breakdowns, a single total will be
calculated for the selected attribute.
Figure 3-26. Selecting report breakdowns.
Notice there are two drop-down lists for each report breakdown. The first drop-down list is
used to describe the geographic scope or division of the grouping variable selected in the
second drop-down list. The second list contains the variable that ultimately determines the
report breakdowns or groupings.
3. To specify the geographic scope or division of the variable you want to group pages by, click
on the arrow button on the first drop-down list beneath the label Group into pages by to
reveal the available options (Figure 3-27).
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Figure 3-27. Expanding the first list of available report breakdowns for page.
4. Select the option that represents the scope of the data to which the category should be applied
for page groupings. In our example (Figure 3-28), we have selected Plot.
5. Click on the arrow button attached to the second drop-down list beneath the Group into
pages by, and then select the category for grouping pages. In our example (Figure 3-28), we
have selected County.
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Figure 3-28. Selecting the secondary report breakdown for pages.
In our resulting report, each page will contain the estimate attribute for a single county,
calculated from all of the plots in that county.
6. Select report breakdowns for rows and columns from the drop-down lists beneath the Group
into rows by and Group into columns by labels. Note that your selections are added to the
Current Report Design box (Figure 3-29).
NOTE:
The Refresh Lists button is used to refresh the list of SIT attributes available
for selection in Report Breakdowns on the Report Content form when the
report pages, rows, or columns are grouped by the SIT-plot intersection
option. It also refreshes the list of available SIT attributes and their filter
values on the Dataset Filters form, shown when an estimate variable
generated by SITis selected on the Report Content form.
In our example (Figure 3-29), Subunit is selected as the scope and specified that rows are to
be grouped by Forest Type and columns will be grouped by Owner.
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Figure 3-29. Selecting report breakdowns for rows and columns.
The resulting report will contain a unique owner in each column, and a unique forest type in
each row (Figure 3-30). The subtotals for each row are given in the last column. (To learn
how to run the report, see the section on running reports.)
Figure 3-30. Analysis report design with selected report breakdowns.
7. Continue to the next step to select your dataset filters. If dataset filters aren’t necessary for
your analysis, you can proceed to the section on running your report.
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Select dataset filters
The second tabbed form, Dataset Filters, is where you have the option to specify how the data
contained in the analysis should be subset. Filters may be used to exclude groups of data that do
not serve any purpose in your report. This is useful if the analysis on which your report will be
based contains more data than are necessary for reporting purposes.
Available filter levels include Plot, Subunit, and SIT-plot intersection. The filter levels available
for selection depend on the scope of the selected estimate attribute. Once you have selected a
filter level, you may then select related filter attributes. Finally, depending on the attributes you
select as filters, you can then select the related values you want included in the report.
NOTE:
The Subunit filter level represents the Subplot Condition level.
1. From the Create Analysis Report page, open the Dataset Filters form by clicking its tab
(Figure 3-31).
Figure 3-31. The 'Dataset Filters' form.
2. Click on the arrow next to the Filter Level drop-down list to view the options, and then
select the desired filter level (Figure 3-32).
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Figure 3-32. Selecting a dataset filter level.
3. Select the first attribute to filter by from the list beneath the Select filter attributes label.
The selections available in this list will depend on the Filter level selected in the previous
step.
To select an attribute, click on its checkbox. In the example shown in Figure 3-33, #1 LU
major (major land use) is selected as the first attribute to filter by. Once you have selected a
filter attribute, a list of applicable values will become available for selection.
4. Select the value or values to include in the report. The values available for selection in this
step are directly related to the selected filter attribute in the previous step.
To select a value to include in the report, click on its checkbox. Repeat for each additional
value you want to include for this filter attribute. In our example (Figure 3-33, #2), we have
selected Accessible forestland as the filter value. To include all of the values in the list, click
on the Select All button. To clear the current selections included in your report and start over,
click on the Clear All button.
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Figure 3-33. Selecting attributes and values to include in the dataset filter.
The filter values selected will determine which data from the subset are included or excluded
in your analysis report. Data with attributes containing any of your selected values will be
included in the report results. To remove a dataset filter, deselect the filter attribute and this
will automatically deselect the associated filter values. The values not selected will be
filtered out and excluded from the report.
5. If desired, select the next filter attribute and associated values. Repeat for each additional
dataset filter that you want to add.
NOTE:
To modify previous dataset filter selections, you must first select the
appropriate Filter Level. The filter values for a filter attribute can be viewed
without changing any of your selections by clicking to the left of the filter
attribute's checkbox.
Note that all of the selections made thus far, including the filter attributes and values, are
added to the Current Report Design (Figure 3-34).
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Figure 3-34. The 'Current Report Design' showing the selected dataset filters.
The report will not run until filter values have been selected in the Include values section of
the Dataset Filters tab. If no filter values are selected, a message will appear in the Current
Report Design indicating that filter values must be selected prior to running the report
(Figure 3-35).
Figure 3-35. Displayed message when filter attributes are selected without a selected filter value.
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When trying to run the report without selecting any values, an error message will pop-up,
prompting you to select filter values in order to proceed (Figure 3-36). Click OK to close the
notification and return to select your filter values.
Figure 3-36. The ‘Incomplete Filter Variable’ error.
Conversely, if you have selected filter values without selecting a filter attribute, a warning in
the Current Report Design will be displayed, indicating that a filter attribute should be
selected (Figure 3-37). So long as you have selected at least one filter attribute and filter
value, you will still be able to run the report .
Figure 3-37. Displayed warning when filter values are selected without a selected filter attribute.
6. Once you have selected the dataset filters, move onto the next step where you will select run
options form.
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Selecting run options
The Run Options form is where you can preview the default sampling method and the
estimation method used to produce the estimates in your report. These defaults are based on the
DATIM datasets included in the open analysis. This form can also be used to select the sampling
error percent, confidence interval, and confidence level. Further, you can select types of rows
that you want hidden in the report, such as sub-totals and empty rows. Lastly, you can enter a
custom title and notes using this form.
1. Click the Run Options tab to open the form (Figure 3-38).
Figure 3-38. The ‘Run Options’ form.
2. Select how the sampling error should be displayed in the report. The two options provided
are Sampling error percent and Confidence interval.
When choosing to show the sampling error as Sampling error percent, the default
Confidence level is 68% and no other options are available (Figure 3-39).
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Figure 3-39. Showing sampling error as ‘Sampling error percent’.
Alternatively, if you choose to show the sampling error as Confidence interval, the option of
selecting 68%, 80%, 90%, or 95% is available. Another option is entering a custom value
ranging from 50-99% in the field provided (Figure 3-40). The percent symbol (%) should not
be entered when entering a value for the confidence interval.
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Figure 3-40. Showing sampling error as ‘Confidence interval’.
3. Select the appropriate checkboxes to omit any empty rows or sub-total estimates from your
report. In our example we have selected the Hide empty rows option (Figure 3-41, #1).
4. Supply a custom title for your report, if you so desire. Click on the box next to the Custom
title label to activate the text box and then enter your title (Figure 3-41, #2). Your custom
title must be 50 or fewer characters.
5. In the Notes text box, enter any notes you would like to include in your analysis report using
2,000 or fewer characters (Figure 3-41, #3).
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Figure 3-41. Customizing your analysis report.
6. Continue to Step 7 to run the report and view the output.
Running the report
To run the report and view output:
1. Click the Run Report button at the bottom of the Create Analysis Report page (Figure 342). While the report is being processed, a series of messages will display, to inform you of
the status. When the run process is complete, the results of the report will be displayed on the
Report Results page.
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Figure 3-42. Running a report design.
When the report has finished running, the Report Results page will open. As shown in
Figure 3-43, #1, the analysis report is displayed in its own tab-based view. It will remain here
until you close it by clicking on the 'x' at the right-hand side of the tab.
TIP:
You must close all report tabs in the Report Results page before you can logout of
the DATIM application. You can close your browser window to close DATIM, but any
unsaved work will be lost.
When you are ready to save the report design, you will need to return to the Create
Analysis Report page.
2. Return to the Create Analysis Report page by clicking on the Return to Create Analysis
Report link at the bottom of the Report Results tab (Figure 3-43, #2). Alternatively,
clicking on the Create Analysis Report link in the navigation menu will also bring you back
to the Create Analysis Report page as well.
3. Make any desired changes to the report design and run the report again.
If you decide to run the report again by clicking on the Run Report button, a second tab will
be displayed for the second set of results on the Report Results page alongside the first tab
(Figure 3-43, #3).
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Figure 3-43. Viewing a report design in the 'Report Results' view with two report designs open.
The two sets of results in the Report Results page allows you to preview them side-by-side.
This ability to create and preview multiple report designs during a single ATIM session is an
important feature. Each report that you preview will be displayed in an individual tabbed form on
the page until you decide which design you want to save and which you want to discard. This
allows you to keep refining the design and previewing the results until you get the report design
you want. Furthermore, you can go back to the design from any of the revision states by
selecting the appropriate report preview tab on the Report Results page.
To return to a given report design, click on the tab of the report design you want to view or edit,
and then click the Return to Create Analysis Report page link at the bottom of the Report
Results page. The Create Analysis Report page will be reset to the selections that were in place
when that particular report was run.
Saving report designs to the analysis
After viewing your report output, you can save the report design to the analysis. You must be
registered as a DATIM user to save a report to the analysis.
1. From the Report Results page, click the tab containing the report design you want to save to
make it active (Figure 3-44).
2. Click the Return to Create Analysis Report Page link at the bottom of the page(Figure 344).
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Figure 3-44. Saving a report design from the 'Report Results' page.
3. From the Create Analysis Report page, click the Save to analysis button to save the report
to the analysis (Figure 3-45). This will save your report to the ATIM analysis on which it is
based.
Figure 3-45. Saving an analysis report from the 'Create Analysis Report' pa ge.
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Saving report results
To save the report results:
1. From the Report Results page (which can also be accessed by selecting the view report
results tab on the Navigation Bar), click on the tab of the analysis report that you want to
save to make it active. In our example (Figure 3-46, #1), we have activated the second report
previewed.
2. Click on the disk icon in the Report Results toolbar (Figure 3-46, #2) to save the report
results to your local file directory as an HTML file.
NOTE:
In DATIM 5.0, users will be able to save the report to other formats including
extensible markup language (XML) files and as comma separated values
(.csv) file.
Figure 3-46. Saving report results to the local file directory from the 'Report Results' page.
3. The Save As prompt will open. Select the location in your local directory where you want to
save the report results and enter a File name. In our example (Figure 3-47), we will save the
report results to a local folder created for 'My DATIM Projects'.
4. To save the file, click the Save button (Figure 3-47).
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Figure 3-47. Saving an analysis report design to the local directory.
To view or print the report results again, simply open the file from your local directory. The
report results will be displayed in your internet browser (Figure 3-48).
Figure 3-48. Opening report results saved to the local directory in a new browser window.
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If after saving your report you would like to start creating a new analysis report for the open
analysis, select the create analysis report task from the DATIM navigation menu. When the
Create Analysis Report page opens, click the Create New button to reset the forms and
begin a fresh new report for the open analysis. The Create New button is located in the top
right corner of the Create Open Analysis page.
Viewing report results
To view report results, you must first open the analysis and run the report. When you run an
analysis report during an ATIM session, a new task becomes available in the DATIM navigation
menu: view report results. If you navigate away from the Report Results page for any reason,
you can always return to this page by selecting analysis tasks and view report results from the
navigation menu (Figure 3-49).
Figure 3-49. The 'view report results' task in the DATIM navigation menu.
NOTE:
The view report results task is available in the navigation menu only after
you run a report or create an analysis report. Selecting this task opens the
Report Results page.
When you view report results on the Report Results page, note that each report is displayed in
its own tab-based page (Figure 3-50). To view the results of a given report, click on its tab and
use the vertical scrollbar to view the full report content.
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Figure 3-50. Previewing report results after running reports.
It is important to understand that when you are finished viewing a report, the report must either
be saved and closed, or discarded without saving before logging out of DATIM. Attempting to
logout of DATIM without saving and/or discarding each report tab on the Report Results page,
will result in a Confirm Close Analysis error message.
To discard an analysis report without saving any changes made, simply press OK to close the
Confirm Close Analysis message and discard any changes, or close the analysis report by
simply clicking the 'x' on the report's tab (Figure 3-51).
Figure 3-51. The Confirm Close Analysis notification.
The report results toolbar
A few additional features are available in the Report Results toolbar that will assist you in
viewing and searching report results (Figure 3-52).
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Figure 3-52. The 'Report Results' toolbar.
Printing an analysis report
To print an analysis report from your local printer, click on the printer icon in the toolbar (Figure
3-53, #1). This will open your local Print dialog where you can finish the printing process.
If you are printing from a Xerox Phaser 7400 laser printer, there is a known bug which prevents
ATIM Report results from successfully printing when using the print button in the results
toolbar. The solution to this problem requires changing your printer settings in DATIM. For
more information please see Appendix F.
Zooming in and out
You can "zoom in" to get a close-up view of your report results or "zoom out" to see more of the
page at a reduced size.
To "zoom in," click on the icon showing the magnifying glass with the plus sign in the center. To
"zoom out," click on the magnifying glass with the minus sign in the center (Figure 3-53, #2a).
Alternatively, click the arrow next to the Zoom box and select the desired zoom percentage
(Figure 3-53, # 2b).
Finding search terms
Use the Find command to search for key terms in the report results Figure 3-53, #3).
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In the Find box, enter the text that you want to search for. All instances of a specific word or
phrase are highlighted in the report results in blue. The number of total instances that the search
term appears in the report results is displayed to the right of the Find box.
Using the Next and Previous buttons
The Next and Previous buttons enable you to easily navigate through the report to find the
instances of the search term entered in the Find box (Figure 3-53, #4).
Figure 3-53. The 'Report Results' toolbar in depth.
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Chapter 4: Welcome to SIT
The Spatial Intersection Tool (SIT) provides a geospatial interface (GI) for users to access
natural resource inventory datasets and intersects plot-based data with geospatial layers via
ArcMap in the ArcGIS Desktop. It is integrated with the Analysis Tool for Inventory and
Monitoring (ATIM) to enable you to focus your ATIM analysis on a geographic area of interest
and to summarize the results of your analysis reports using map-based attributes.
This application accesses the data features contained in the Field Sampled Vegetation (FSVeg)
database, the FSVeg Spatial database, and the Forest Inventory and Analysis (FIADB) database.
The FSVeg and FSVeg Spatial databases can only be accessed after logging into NRM (eAuthentication is required).
TIP:
Documentation related to accessing and working with these databases can be found
online by visiting these websites: for FSVeg documentation
(http://fsweb.nris.fs.fed.us/products/FSVeg/documentation.shtml ); for FSVeg
Spatial (http://fsweb.nris.fs.fed.us/products/FSVeg_Spatial/documentation.shtml );
and for FIADB documentation (http://fia.fs.fed.us/library/databasedocumentation).
GIS information stored in or provided by SIT meets Forest Service standards. Horizontal map
accuracy requirements for this information are based on the map scale of the map under
consideration. This is described in tables 3-3 and 4-1 of the Forest Service’s Existing Vegetation
Classification, and Inventory Technical Guide, Version 2.0
(http://www.fs.fed.us/emc/rig/documents/protocols/vegClassMapInv/EVTG_v20_June2015.pdf) (Nelson, Brewer and Solem 2015). Examples include Estimation Unit
Polygons, FSVeg inventory plots (not FIA, not Stand Based), CSE Stand Exam Plots, and for
templates for other vegetation and non-vegetation inventories.
Introduction to SIT
Before using the Spatial Intersection Tool (SIT), it is assumed that the user has a basic
understanding of geographic information systems (GIS), including experience with
geoprocessing functions and overlays with multiple layers. Additionally, we assume that your
computer meets the system requirements required to use ArcMap and the Geospatial Interface
(GI). Finally, we assume you are a Forest Service (FS) employee with an ActiveDirectory
account, as you will need it to use the tool.
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Future versions of DATIM will allow the SIT tool to be used by the general
public, but at this time, you must be a FS employee with an Active Directory
account to use SIT.
Although you have the option to run ArcMap on your local desktop computer, Forest Service
employees with current ActiveDirectory accounts are encouraged to run it from the Citrix
environment as often as possible. Doing so will give you access to the Natural Resource
Manager (NRM) system of database tools for managing Agency data across the Forest Service,
including the GI, as well as access to all of the agency's geospatial data. Because the CIO
maintains the ArcGIS software, running SIT in Citrix will also minimize ArcGIS software
loading and updating.
Getting started with SIT
To start using SIT:
1. Login to DATIM, and select spatial intersection tool in the navigation menu. Alternatively,
select SIT in the ribbon. Both options are outlined in Figure 4-1.
Figure 4-1. Launching the Spatial Intersection Tool (SIT).
2. The Spatial Intersection Tool page opens (Figure 4-2). To begin, you must install the SIT
Addin file. Select the Click here to navigate to the SIT Addin download page link.
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Figure 4-2 The Spatial Intersection Tool page with one option for getting started.
3. After selecting this link, a new tab will appear in your browser with specific instructions on
where to save the add-in file in the Citrix Home Directory or in your Desktop Home
Directory as well as a link to download the SIT add-in file (Figure 4-3).
Figure 4-3. Spatial Intersection Tool Addin Instructions page.
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Launching SIT in Citrix
To launch SIT in Citrix:
1. Login to the Enterprise Production Data Center Citrix Farm (in Kansas City) using your
ActiveDirectory user name and password (Figure 4-4).
Figure 4-4. Logging into Citrix.
2. After you have successfully logged into Citrix, open the Natural Resource Manager
Directory by navigating to Main, click on National Applications, next click the Natural
Resource Manager, and lastly click the ArcGIS 10-2-2 folder. From this folder, click on the
ArcMap 10-2-2 icon (Figure 4-5).
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Figure 4-5. Running ArcMap from the Natural Resource Manager Directory.
3. A new ArcMap project will open in your browser window. To immediately start working
with SIT, skip to the section entitled Working with SIT.
Installing the SIT Add-in File in ArcMap
1. Begin by launching ArcMap in Citrix from a NRM blade.
2. From the ArcMap standard toolbar, click Customize (Figure 4-6, #1).
3. From the Customize menu, select the Add-In Manager… option (Figure 4-6, #2).
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Figure 4-6. The Customize menu options.
4. The Add-In Manager window will open, click the Options tab.
5. On the Options tab, click the Add Folder… button. (Figure 4-7).
Figure 4-7. The Add-In Manager window.
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6. Next, browse to the folder:
T:\FS\Reference\GeoTool\agency\Application\ArcGIS1022\Add-Ins
and select SIT (Figure 4-8, #1).
7. Lastly, click OK (Figure 4-8, #2).
Figure 4-8. Browsing the SIT Add-In File.
8. You will be taken back to the Add- In Manager window. Ensure the option to Load all
Add-Ins without restrictions (Least Secure) is selected, and click Close and continue to
Adding the SIT Add-in to the ArcMap toolbar (Figure 4-9).
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Figure 4-9. Adding the SIT Add-In file.
NOTE:
If using SIT through Citrix, then the SIT add-in file will only need to be
installed one time. If the add-in file is updated, the CIO will automatically
update the SIT add-in file in the Citrix T drive.
Installing the SIT ArcMap Add-in to your Desktop
Begin by accessing the Spatial Intersection Tool Addin instructions page, which is discussed
above.
1. First, select the link: Click here to download the SIT Addin File (3.75MB) as shown in
Figure 4-10.
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Figure 4-10. Spatial Intersection Tool Addin Link.
2. A file download dialog pops up, prompting you to open or save the download file. Click on
the Save button, which will save the file to your Downloads folder on your local system
(Figure 4-11).
Figure 4-11. File Download Dialog Pop up.
3. Once the file has completed downloading, you will receive another download dialog pop-up
that allows you to either select the Open button to open the add-in file, select the Open
folder button which will open the downloads folder where the add-in file is located, or open
the browser downloads folder by selecting View Downloads. Select the Open folder button
(Figure 4-12).
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Figure 4-12. Selecting the Open Folder button.
4. This will open your systems Downloads folder as shown in Figure 4-13. Your SIT add-in file
should be located in this file.
Figure 4-13 Downloads Folder where SIT add-in file is located.
5. To use the SIT Tool and ArcMap from your Desktop, cut and paste the downloaded add-in
file to the following location: C:\Users\<USER NAME>\My
Documents\ArcGIS\AddIns\DestopXX.XX.
NOTE:
XX.XX is the version of ArcGIS on your machine. ArcGIS will need to be
installed, and then add the last folder.
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If a new version of the SIT Add-in file has been released, you will need to
repeat the process of installing the updated SIT add-in file to your Desktop.
Adding the SIT Add-in to the ArcMap toolbar
After you have successfully installed the SIT Add-in to run ArcMap from the Citrix server or
from your local computer, you will need to add it to the ArcMap toolbar.
1. From the ArcMap standard toolbar, click Customize (Figure 4-14, #1).
2. From the Customize menu, select the Customize Mode (Figure 4-14, #2).
Figure 4-14. Selecting the ‘Customize Mode…’ option.
3. The Customize window opens; there are three tabs– Toolbars, Commands, and Options
(Error! Reference source not found.).
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Figure 4-15 The Customize window in ArcMap.
4. From the Customize window, click on the Commands tab (Figure 4-16, #1).
5. From the Categories list, click on DATIM (Figure 4-16, #2).
6. Drag the SIT tool icon from the Commands list (Figure 4-16, #3) onto an existing menu or
toolbar (Figure 4-16, #4).
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Figure 4-16. Adding the SIT Add-in to the ArcMap toolbar.
7. From the Customize window, click Close (Figure 4-16).
Working with SIT
The steps to create a point layer of the plots are the same whether you are running the SIT from
the Citrix server or on your desktop computer. The SIT accesses the DATIM dataset selected and
uses the stored location coordinates to create a point shapefile. For FIA data, all annual plot
coordinates are fuzzed within 0.5 miles for most plots and up to 1.0 mile on a small subset of
plots, which makes it difficult to locate the plot on the ground while still maintaining a good
correlation between the plot data and map-based characteristics.
At this time SIT is allowing the user of the publicly available FIA plot locations, i.e. the fuzzed
locations. In the future it is anticipated that SIT will also be able to access the actual FIA plot
locations. With the use of actual plot locations spatial queries or intersections performed will
follow the 250 Acre Rule (Private Lands & Public Lands) as well as the Rule of 3 (Private
Lands).
NOTE:
The 250-Acre Rule and the Rule of 3 are currently being evaluated and
reviewed by the FIA Spatial Data Services (SDS) team for accuracy.
When performing plot intensifications for FIA plots whether on or off grid, Blackard and
Patterson (2014) suggest in the National FIA plot intensification procedure report
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(http://www.fs.fed.us/rm/pubs/rmrs_gtr329.pdf ) report that the GRID method should be used
(Blackard and Patterson 2014). The Latsat grids, provided by FIA, are used when performing
intensification schemes on the Forest-Non-Forest stratification grid. Although this is not a part of
SIT, it is recommended to follow this method for plot intensification.
1. Log into Citrix and open ArcMap10.2.2 under the Natural Resource Manager (NRM)
directory (Figure 4-17). Alternatively, launch ArcMap 10.2.2 on your desktop computer.
Figure 4-17. Opening ArcMap 10.2.2 from the NRM directory in Citrix.
2. When ArcMap opens, select the data layers in your map.
Caution!
You must select data layers in your map prior to working with SIT. If you
attempt to use SIT without selecting data layers, then SIT will not function as
described in this and subsequent sections of this document.
3. From the ArcMap toolbar, select the SIT Tool icon as shown in Figure 4-18. This button will
launch SIT.
Figure 4-18 The SIT Tool icon in the ArcMap toolbar.
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4. The DATIM Login window will pop-up. From the drop-down menu, select which server to
connect to. You will need to connect to ATIM (PROD) (Figure 4-19Error! Reference
source not found.).
Figure 4-19. DATIM login required to run SIT.
5. In the space provided, enter the User Name and Password for the DATIM Database
Connection selected (Figure 4-20).
Figure 4-20 The DATIM Login View.
6. Once you have entered in the DATIM login information, select OK. After logging into
DATIM, you are automatically directed to the DATIM – Spatial Intersection Tool (SIT)
page as shown in Figure 4-21.
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Figure 4-21 DATIM-Spatial Intersection Tool (SIT) page.
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7. From the Select Task tab, click the Create Point Layer (Fuzzed Coordinates) button
(Figure 4-22). Alternatively, you can click the Create Point Layer tab.
Figure 4-22. Selecting the Create Point Layer tab in SIT.
8. Choose a data set from the Select Data Set display. For this example, we will create plots for
Arizona. We will select: 041300: Arizona 2013:2004-2013: ALL AREA. Next select the
Feature Dataset to match the Layer’s Projection- the layers shown are those in the table of
contents in your ArcMap project.
9. After you select the dataset and projection dataset, select the Create Point Layer (Fuzzed
Coordinates) button (Figure 4-23Error! Reference source not found.).
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Figure 4-23. The Create Point Layer Button.
10. A Save As screen will pop-up next, indicating for you to create a file name for your shape
file and a destination to save it to. SIT will create a default name based on the dataset that
you connected to. If desired, you can change the file name. For this example, the file name is
the default name that SIT created: 041300: Arizona 2013:2004-2013: ALL
AREA. When you are finished, select Save to save the shape file (Figure 4-24).
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Figure 4-24. Saving the Shape File.
11. At this point, SIT will create the Point Layer shape file of the point layer using the fuzzed
coordinates. Fuzzed coordinates are used to maintain the security of the actual plot locations.
It may take a few minutes to create the shape file depending on the state of the dataset
collected. Once the point layer has been created, you will receive a notification. Select OK to
close the notification as well as the SIT program as shown in Figure 4-25.
Figure 4-25 Notification that a new point layer has been created.
12. The point layer dataset will now appear in the Table of Contents section of ArcMap (Figure
4-26).
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Figure 4-26. ArcMap with the Point Layer Dataset in the table of contents.
13. Next, right click on the dataset in order to view more options; from the available options,
select the Open Attribute Table option (Figure 4-27Error! Reference source not found.).
Figure 4-27. Opening an Attribute Table.
14. The Attribute Table will open in ArcMap. The XCoord and YCoord columns are the X and
Y fuzzed coordinates. The sauf_cn column consists of control numbers that will be used by
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ATIM and other applications, including SIT, to perform intersections and more. Figure 4-28
shows an example of an Attribute Table.
Figure 4-28. Example Attribute Table.
Creating a SIT intersection
To create a SIT intersection using ArcMap:
1. Within ArcMap, begin by selecting the SIT tool.
2. Next, in the DATIM Login window, select the server that you want to connect to and enter
your user login information. Once you are finished, select OK.
3. From the Select Task tab, click the Setup Intersection button (Figure 4-29).
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Figure 4-29. The Setup Intersection button.
4. When the SIT Intersection tab opens, from the Analysis drop-down list, select the DATIM
analysis you want to work with. For this example, we will be working with is Missouri
1999-2003 (Figure 4-30).
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Figure 4-30. Choosing a DATIM analysis from the drop-down list.
5. Next, enter a name and description for the intersection you want to create. In our example,
we have entered in MT_MARx (Figure 4-31).
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Figure 4-31. Inserting a name.
6. Move to the next tab by clicking the Next button at the bottom of the Intersection page, or
click the Geographic Area tab heading (Figure 4-32). While the Geographic Area tab is not
currently operable, it is available to view. In future versions of DATIM this tab will allow
users to select a region or forest to limit the following selections.
NOTE:
You can use the Previous and Next buttons to navigate through the SIT tabs.
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Figure 4-32. The Geographic Area tab.
7. Move to the next tab by clicking the Next button at the bottom of the Geographic Area
page, or click the Data Sets tab and select the dataset you are interested in working with. For
this example, we have chosen 290301: MISSOURI 2003: 1999-2003: CURRENT
AREA (Figure 4-33).
8. Choosing the Filter CNs button allows you to enter a text file of specific SAUF_CN’s that
come from the Plot Shapefile you created using SIT (Figure 4-33). Once the file is uploaded,
SIT will search and select only these plots and use them in the Intersection.
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Figure 4-33. Selecting a dataset.
9. Move to the next tab by clicking the Next button at the bottom of the Data Sets page, or
click the Feature Dataset tab. Beneath the label Select Feature Dataset, select the polygon
layer to intersect. In our example shown in Figure 4-34, we have chosen the feature dataset to
be 290301_MISSOURI_2003_1999-2003_CURRENT_AREA. Be sure that the Point
Data Set is the one that you would like to use.
NOTE:
Checking the Use Actual Coordinates box will intersect polygons with
temporary plots created from the actual plot coordinates. This function is
currently not available in DATIM 4.0, but will be available in future versions
of DATIM. Only administrative users will be capable of selecting this option.
When available, this intersection will follow strict FIA rules. No plot file is
created for the user.
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Figure 4-34. Selecting a Feature Dataset.
10. From the same tab, use the Select Point Data Set drop-down list to select the Point shapefile
that you want to use. For this example, we want to select 290301_MISSOURI_2003_19992003_Current_Area (Figure 4-35).
Figure 4-35. Selecting a Point Data Set.
11. Move to the next tab by clicking the Next button at the bottom of the Feature Datasets page,
or click the Attributes tab. Within this tab, you will see a list beneath the label Select
Attribute, select the polygon attribute to transfer to the plot data (Figure 4-36).
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Figure 4-36. Selecting a polygon attribute.
NOTE:
All of the selections you have made thus far for the Intersection are shown in
the right-hand panel labeled Your Selections.
12. Once all of your selections have been made, select the Run Intersect button (Figure 4-37).
NOTE:
The process of running an intersection may take some time to complete,
please be patient during this time.
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Figure 4-37. The 'Run Intersect' button.
13. Once completed, a message will display indicating that the intersection is complete (Figure
4-38). Click OK to close the message. The SIT interface will remain open in case you want
to select and add another attribute to the same data sets or run other intersections. The
intersection results are now stored in the Analysis dataset in the DATIM data mart.
Figure 4-38.Message indicating that the intersection is complete.
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Generating Population (POP) Tables
DATIM Population (POP) tables are used to compute population estimates. These describe the
area in which samples reside, the scope of population estimates that can be computed from those
samples, the sample design and sample method used, and stratification method employed.
This SIT feature allows the user to create their own DATIM datasets rather than use those
created by FIA. Doing so may produce more precise estimates.
CAUTION!
Ensuring that an appropriate POP table is created requires detailed
knowledge about how the sample locations were selected and what was
recorded at those locations.
To begin working with POP tables, navigate to the Data Sets tab in the SIT tool.
1. Check the box next to Generate POP Tables (Figure 4-39).
Figure 4-39. Selecting the ‘Generate POP tables’ checkbox to set up the POP tables.
2. Select the Properties button as shown in Figure 4-40.
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Figure 4-40. Selecting the ‘Properties’ button to set up the POP tables.
The Pop Table Properties window will open. Here you will name your pop table, select the
estimation scope, sample design, sampling method, and stratum method. An example of the
Pop Table Properties window is shown in Figure 4-41.
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Figure 4-41. The Pop Table Properties window.
3. Begin by entering a name for your Pop table in the text area under the DATIM datasets
description label. For our example, we will insert MT_MARx into this text area.
4. Next, from the drop-down list for Estimation Scope select from: ALL AREA, SAMP
AREA, or RESAMP AREA (Figure 4-42). The following are descriptions of these choices:

ALL AREA – Out of population samples are included.

SAMP AREA – Samples are excluded when completely out of population.

RESAMP AREA – Samples are included only if measurements from two occasions
are included.
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Figure 4-42. Selecting the ‘Estimation Scope’ for your POP table.
5. From the Sample Design drop-down list, select from: simple random, post-stratification,
stratified random, double sampling (Figure 4- 43).
Figure 4- 43. Selecting the ‘Sample Design’ for your POP table.
6. Next, choose one of the following from the Stratum Method drop-down list: NONE,
ESTIMATED (sampled), and KNOWN (wall-to-wall) (Figure 4-44).
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Figure 4-44. Selecting the ‘Stratum Method’ for your POP table.
7. Once the Pop table properties selections have been made, select OK as shown in Figure 4-45.
Figure 4-45. Selecting ‘OK’ after completing the Pop Table Properties.
8. The Pop Table Properties window will close and you will be returned to the Data Sets tab
in SIT. Next, select the Filter CN’s button (Figure 4-46).
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Figure 4-46. The ‘Filter CN’s’ button.
9. A new window – Open the CN list file - will open, prompting the user to select a text file.
This file will contain a list of the CN numbers representing and linking the plots that will be
used in the SIT intersection. Select the appropriate text file and select Open (Figure 4-47).
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Figure 4-47. The ‘Open the CN list file’ window.
10. You will be returned to the Data Sets window in SIT. Select the Run Intersect button to run
your intersection so long as all of the other selections have been made according to the
section, Creating a SIT intersection.
Creating an ATIM report using a SIT attribute
After creating a SIT intersection, these results can be sent to ATIM to be included in an ATIM
analysis report.
To create an ATIM report using the selected SIT attribute:
1.
Begin by logging into DATIM.
2. Select analysis tasks in the DATIM navigation menu or alternatively, you can select ATIM
from the ribbon (Figure 4-48).
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Figure 4-48. Accessing the ATIM tool.
3. Next, select open analysis in the DATIM navigation menu (Figure 4-49).
Figure 4-49. The ‘open analysis’ link in ATIM.
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4. From the Open Analysis page, select the ATIM analysis used in your SIT Intersection
(Figure 4-50). To select an analysis, click on it to highlight it in blue. In our example, we
have chosen the Missouri 1999-2003 analysis. Then select Open Analysis (Figure 450).
Figure 4-50. Opening the ATIM analysis used in the SIT intersection.
5. Next, from the DATIM navigation menu, beneath analysis tasks, select the option to create
analysis report (Figure 4-51).
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Figure 4-51. The ‘create analysis report’ link in ATIM.
6. From the Create Analysis Report page, enter a Title (report name) and Description (Figure
4-52Error! Reference source not found., #1).
7. Using the list labeled Calculate estimates for, select an attribute to calculate estimates for
(Figure 4-52, #2).
8. In the Report Breakdowns section and the Group into pages by fields, select the variables
that you want the report to be broken down by page (if desired).
9. In the Report Breakdowns section and the Group into rows by fields, select SIT-plot
intersection in the first-level breakdown (the left-hand drop-down menu), and the
Intersection file in the second-level breakdown (the right-hand drop-down menu) as shown in
Figure 4-52, #3.
10. In the Report Breakdowns section and the Group into columns by fields, select the
variables that you want the report to be broken down by column (Figure 4-52, #4) (if
desired).
11. If you are interested in selecting dataset filters and viewing other run options, you can make
those selections at this time. For more instruction on how to perform these tasks, please visit
the ATIM chapter of this User Guide.
12. Once all selections have been made then click on Run Report (Figure 4-52Error!
Reference source not found.).
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Welcome to SIT
Figure 4-52. Creating a new analysis report using a SIT-plot intersection.
The resulting analysis report using a SIT-plot intersection attribute is shown in Figure 4-53.
Figure 4-53. The analysis report output with a SIT-plot intersection attribute.
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NOTE:
Welcome to SIT
Ensure that the database you connect to in order to run the ATIM report, is
the same database that you connected to for the SIT intersection, otherwise
you will not find the attribute listed.
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References (revision: 01.2016)
References
References
Bechtold, W.A.; Patterson, P.L., eds. 2005. The enhanced Forest Inventory and Analysis
program—national sampling design and estimation procedures. Gen. Tech. Rep. SRS-80.
Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. 85 p.
Blackard, Jock A.; Patterson, Paul L. 2014. National FIA plot intensification procedure
report. Gen. Tech. Rep. RMRS-GTR-329. Fort Collins, CO: U.S. Department of Agriculture,
Forest Service, Rocky Mountain Research Station. 63 p.
Brand, G.; Alegria, J. 2011. Dataset properties. Unpublished document. 7 p. Available by
request to datim@fs.fed.us.
Brohman, R.; Bryant, L. eds. 2005. Existing Vegetation Classification and Mapping
Technical Guide. Gen. Tech. Rep. WO-67. Washington, DC: U.S. Department of Agriculture
Forest Service, Ecosystem Management Coordination Staff. 305 p.
Chojnacky D.C. 1998. Double sampling for stratification: a Forest Inventory Application in
the Interior West. Res. Pap. RMRS-RP-7. Ogden, UT: U.S. Department of Agriculture, Forest
Service, Rocky Mountain Research Station. 15 p.
Cochran, W.G. 1977. Sampling Techniques. 3rd ed. New York: John Wiley and Sons. 428 p.
Dixon, G.E. comp. 2002. Essential FVS: A user's guide to the Forest Vegetation Simulator.
Internal Rep. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Forest
Management Service Center. 226 p. (Accessed February 11, 2015.).
ESRI. 2014. What is GIS? Available on the web. (Accessed February 11, 2015.)
Federal Geographic Data Committee (FGDC)–– Vegetation Subcommittee. 1997. Vegetation
classification standard. FGDC-STD-005. Reston, VA: Federal Geographic Data Committee,
U.S. Geological Survey [online]. Available on the web. (Accessed December 23, 2015).
Federal Geographic Data Committee (FGDC). 1998. Content standard for digital geospatial
metadata. FFGDC-STD-001-1998. Reston, VA: Federal Geographic Data Committee. U.S.
Geological Survey [online]. Available on the web. (Accessed December 23, 2015).
Food and Agriculture Organization of the United Nations (FAO). 2014. Forest monitoring and
assessment. Available on the web. (Accessed May 14, 2014).
Helms, J.A., editor. 1998. The dictionary of forestry. Bethesda, MD: Society of American
Foresters.
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Jennings, M.; Faber-Iangendoen, D.; Peet, R.; et al. 2004. Guidelines for describing
associations and alliances of the U.S. national vegetation classification. Version 3.0.
Vegetation Classification Panel. Washington, DC: Ecological Society of America.
Lincoln, R.J.; Boxshall, G.A.; Clark, P.F. 1998. A dictionary of ecology, evolution and
systematics. 2nd ed. New York: Cambridge University Press, USA.
Nelson, M.L.; Brewer, C.K.; Solem, S.J., eds. 2015. Existing vegetation classification,
mapping, and inventory technical guide, version 2.0. Gen. Tech. Rep. WO-90. Washington,
DC: U.S. Department of Agriculture, Forest Service, Ecosystem Management Coordination
Staff. 210 p.
O’Connell, Barbara M.; LaPoint, Elizabeth B.; Turner, Jeffery A.; Ridley, Ted; Pugh, Scott A.;
Wilson, Andrea M.; Waddell, Karen L.; Conkling, Barbara L. 2015. The Forest Inventory and
Analysis Database: Database description and user guide version 6.0.2 for Phase 2. U.S.
Department of Agriculture, Forest Service. 748 p. [Online]. Available at web address:
http://www.fia.fs.fed.us/library/database‐documentation/.
Robinson, A.H.; Sale, R.; Morrison, J.L. 1978. Elements of cartography. 4th ed. New York: John
Wiley & Sons.
U.S. Department of Agriculture (USDA), Forest Service. 1991b. FSM 2060 –– Ecosystem
Classification, Interpretation, and Application. Washington, DC: Department of Agriculture,
Forest Service.
U.S. Department of Agriculture (USDA), Natural Resource Conservation Service (NRCS). 1997.
National range and pasture handbook. Washington, DC: U.S. Department of Agriculture, Natural
Resources Conservation Service.
U.S. Department of Agriculture (USDA), Forest Service. 2004. Forest Service metadata users
guide –– metadata terms and definitions. Washington, DC: U.S. Department of Agriculture,
Forest Service, Geospatial Advisory Committee [online]. Available on the web. (Accessed
December 23, 2015).
U.S. Department of Agriculture, Forest Service (USDA FS). 2012a. Forest Inventory and
Analysis National Core Field Guide. Volume I: Field Data Collection Procedures for Phase
2 Plots. Version 6. Available on the web. (Accessed May 29, 2014).
U.S. Department of Agriculture, Forest Service (USDA FS). 2012b. National Forest System
Land Management Planning. Federal Register 77:21162-21276.
U.S. Department of Agriculture, Forest Service (USDA FS). 2012c. Parks, Forests, and Public
Property. 36 CFR 219.
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References
U.S. Department of Agriculture, Forest Service (USDA FS). 2014a. 2012 Planning Rule
Assessment. Forest Service Research & Development – Rocky Mountain Research Station.
U.S. Department of Agriculture, Forest Service (USDA FS). 2014b. Common Stand Exam
Users Guide. Natural Resource Information System: Field Sampled Vegetation (NRIS FSVeg).
U.S. Department of Agriculture, Forest Service (USDA FS). 2014d. Welcome to the Forest
Service's Monitoring and Evaluation Framework Available on the web. (Accessed May 7,
2014).
Vandendriesche, D.A. 2014. Advanced FVS Tools for Landscape Planning. [Alternate title:
Advance FVS Topics: Landscape Analysis Software Tools.] Fort Collins, CO: U.S. Department
of Agriculture, Forest Service, Forest Management Service Center. 191 p.
Webster’s II new Riverside university dictionary. 1984. Boston, MA: The Riverside Publishing
Company. 1536p.
Westfall, J.A.; Patterson, P.L.; Coulston, J.W. 2011. Post-stratified estimation: within-strata
and total sample size recommendations. Canadian Journal of Forest Research. 41:1130-1139.
Woudenberg, S.W.; Conkling, B.L.; O'Connell, B.M.; LaPoint, E.B.; Turner, J.A.; Waddell, K.L.
2010. The Forest Inventory and Analysis Database: database description and user’s
manual version 4.0 for phase 2. Gen. Tech. Rep. RMRS-GTR-245. Fort Collins, CO: U.S.
Department of Agriculture, Forest Service, Rocky Mountain Research Station. 336 p.
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Appendices
Technical Appendices
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Appendix A – Understanding DATIM
Introduction to DATIM
DTIM (Design Tool for Inventory and Monitoring) is used for designing more efficient
monitoring plans based on user-selected objectives, questions and metrics. If available data are
insufficient to obtain statistically defensible estimates of current conditions and trends, then
DTIM helps the user plan for the additional sampling needed.
ATIM (Analysis Tool for Inventory and Monitoring) is used for creating statistically
defensible analyses and reports. This tool assists users in analyzing forest and vegetation data to
derive estimates of current conditions and trends for an area of interest, such as for answering
monitoring questions posed in DTIM.
SIT (Spatial Intersection Tool) is used to perform spatial intersections between plot-based data
and user-selected geospatial layers, with the results of those intersections stored in DATIM for
analysis in ATIM to refine analyses and reports. SIT is used to access geographic information
systems (GIS) with the spatial data located locally and remotely on intranets/internet. This tool
includes enhanced spatial querying and reporting capabilities using ESRI’s ArcGIS software and
other data visualizing and data mining techniques.
DCS (DATIM Compilation System) is used by national and regional administrators to load
external data into the DATIM data mart for use in DATIM. Users are able to select datasets from
the DATIM data mart for use in DATIM. Users are able to select datasets from the DATIM data
mart, run the data through the Forest Vegetation Simulator (FVS) to compute additional data
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Appendix B – Understanding DATIM Datasets
To better understand what an ATIM analysis is and what it consists of, you first need to
understand what DATIM datasets are, the sources of data used to create them, and how they are
generated. We will now give you a glimpse into what happens "behind the scenes" to generate
the resource inventory datasets that you will use to construct your ATIM analyses.
Introduction to DATIM datasets
To understand what an ATIM analysis is and how it is created, you must know a little something
about its building blocks. The building blocks of ATIM analyses are DATIM datasets, which
currently comprise resource inventory data (field collected resource data and calculated
variables) derived from source datasets extracted from the Forest Inventory Analysis Database
(FIADB (http://www.fia.fs.fed.us/library/database-documentation/) (O’Connell et al. 2015))
maintained by the U.S. Forest Service's Forest Inventory Analysis (FIA) Program, as well as FIA
and NFS resource data extracted from the Natural Resource Information System (NRIS) Field
Sampled Vegetation (FSVeg (http://www.fs.fed.us/nrm/fsveg/index.shtml)) database. In the
future, natural resource datasets from other FIA programs, such as the National Information
Management System (NIMS), will also be used to create DATIM datasets.
A DATIM dataset contains the necessary resource data for computing population estimates.
DATIM datasets are currently composed of related inventory data obtained from FIADB; thus
the DATIM dataset structure includes one or more estimation units, with estimation units
comprising one or more data points, and with data points comprising of one or more attributes.
Below we provide a definition for each component of the dataset structure, as described by
Brand and Alegria (2011).

A dataset is a collection of estimation units and data points that are collectively
exhaustive and mutually exclusive.

Each estimation unit included in a dataset is a pre-defined area of known size that
contains data points that share the same plot design, sampling intensity, and set of
attributes collected with the same protocols. An estimation unit encompasses enough
plots so that useful variances may be computed.
NOTE:
As defined by Bechtold and Patterson, Eds. (2005), a plot is a cluster of 4
points arranged such that point 1 is central, with points 2, 3, and 4 located
120 feet from point 1 at azimuths of 360, 120, and 240 degrees, respectively.
Each point includes a microplot, a subplot, and an optional macroplot. A
sampling unit is the basic unit of selection and observation. FIA units use the
center point of the 4-point cluster of subplots as the primary sampling unit.
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
A data point is an attribute that is collected or calculated according to common protocols
for an estimation unit.

An attribute is a discrete or continuous variable, usually associated with the classification
or measurement of area or vegetation (Bechtold and Patterson 2005).
Your ATIM analysis, then, comprises the DATIM datasets that you select for your population of
interest, including all of the estimation units, data points, and attributes associated with the
source data.
How DATIM datasets are created
DATIM datasets are created by regional Forest Service specialists during the compilation phase
for use by resource analysts. The process by which DATIM datasets are generated is a
complicated one. In general, the regional specialist identifies a source dataset to be included in
the DATIM data mart. (An example of a source dataset identified by a regional specialist is a
Setting List in FSVeg.) The source dataset is then extracted from the original data source and
loaded into the DATIM data mart where it becomes available as DATIM resource data.
Next, the regional specialist uses the DATIM Compilation System (DCS) to compile selected
DATIM resource data by running it through the appropriate regional compilation module. Each
regional compilation module included in DCS includes a particular set of calculated variables
and algorithms for transforming and summarizing resource data according to the Region's
specific data requirements.
NOTE:
The process of extracting data from an external data source, transforming the
data according to regional requirements, and then loading the data into the
DATIM data mart is known as ETL, for "extract, transform and load.".
Because a DATIM dataset must include resource data from a statistically valid sample,
additional population data associated with the compiled DATIM resource data must be extracted,
transformed, and loaded (ETL'd) into the DATIM data mart. These include population data such
as estimation units, stratification information, and purpose of estimation. The resulting product is
a DATIM dataset with available attributes for a specific geographic area and time period. The
DATIM dataset not only contains the field collected resource data, but also derived variables
such as those generated by the FVS tool. This greatly expands the types of analyses that can be
performed on DATIM datasets.
Currently, the only source of population data used to produce a DATIM dataset is FIADB.
Eventually, users will also be able to produce their own custom DATIM datasets and analyses.
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DATIM dataset naming structures
When you select DATIM datasets to create an ATIM analysis, you will notice that those datasets
are presented in a variety of structures. This is because the datasets were created by a variety of
Forest Service specialists, each with their own system of organizing, naming, and differentiating
datasets.
The data structure provided in the following DATIM dataset examples applies to the majority of
the datasets that you will encounter in ATIM. They were created from annual state inventory
datasets extracted from FIADB (POP_EVAL table).
Examples of DATIM dataset names include the following:

291100: MISSOURI 2011: 2007-2011: ALL AREA

041101: ARIZONA 2011: 2002-2011: CURRENT AREA, CURRENT VOLUME
As in the examples provided, DATIM dataset names will typically begin with the 6-digit
evaluation ID used to identify a source evaluation record for expansions of the estimated
variable(s). This number is equal to the EVALID in FIADB and the online EVALIDator. Next,
the dataset name will often contain the evaluation description, which includes the name of the
State inventoried, the report year, and the span of years included in the dataset inventory
measurement cycle (start year – end year). A cycle is one sequential and complete set of panels,
with a panel defined as a sample consisting of the same elements measured on two or more
occasions (Bechtold and Patterson 2005). Finally, the estimate variable or variables will often be
included in the dataset name (e.g., ALL AREA, CURRENT AREA, and CURRENT VOLUME).
In the first example, ALL AREA refers to the evaluation used to estimate total area, including
sampled and non-sampled plots. In the second example, CURRENT AREA refers to the
evaluation used to estimate total area from only the sampled plots, and CURRENT VOLUME
refers to the evaluation used to estimate volume, biomass or number of trees, based on the
sampled plots within the population that qualify for volume estimates (Woudenberg et al. 2010).
For more information about the various types of expansions of estimated variables included in
FIADB, refer to the FIADB User Guide, which can be accessed at the following web address:
http://www.fia.fs.fed.us/library/database-documentation (O’Connell et al. 2015) .
Understanding DATIM subsets
When you create an ATIM analysis, the DATIM datasets that you select are copied into a
DATIM subset. DATIM subsets are stored in the DATIM data mart for later use by you and your
team as a snapshot in time and will not change even when data in the data mart are revised,
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which is critical for Forest planning. The DATIM subset consists of all of the data you selected
for inclusion in your ATIM analysis.
The ability to create DATIM subsets means that you have greater flexibility in the kinds of
analyses that you conduct. DATIM subsets allow you to group DATIM datasets together to
provide a more complete analysis. For example, you may want to look at both the current
estimates and change estimates for a given place and time. However, the DATIM dataset used to
compute current estimates may differ from the dataset used to compute change estimates.
Bringing both datasets together into one subset clearly makes them part of the same analysis.
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Appendix C – Information about preloaded DTIM Base Modules
Base Modules
The Base Module is the first task in the DTIM project creation wizard. This module will
predetermine which available objectives, questions and metrics will be grouped together for use
in your monitoring plan. A number of base modules are available in DTIM with nationally and
regionally defined objectives, questions, and metrics. The module that you select depends on the
type of monitoring plan you want to design. The base modules preloaded in DATIM version 4.0
including the following:

The 2012 Planning Rule module is based on the National Forest Management Act
(NFMA) land management planning rule adopted by the U.S. Department of Agriculture
in 2012. The new planning rule guides the development, amendment, and revision of land
management plans for all NFS units, including national forests. It sets forth process and
content requirements to guide the development of land management plans. For more
information about the 2012 Planning Rule, see National Forest System Land
Management Planning; Final Rule. 36 CFR Part 219
(http://www.fs.usda.gov/Internet/FSE_DOCUMENTS/stelprdb5362536.pdf) (USDA FS
2012c).

The FIA Intensification module is based on intensified sampling according to the FIA
Program's national sampling design and estimation procedures. For more information
about FIA Intensification, see Bechtold and Patterson (2005), General Technical Report
SRS-80 (http://www.srs.fs.usda.gov/pubs/20371).

The English-language FAO English modules are based on the Food and Agriculture
Organization of the United Nations (FAO) program to support countries in developing
national forest monitoring systems and assessments (FAO 2014). For more information,
visit the FAO Forest Monitoring and Assessment web page
(http://www.fao.org/forestry/fma/en/).

The NFS M&E Framework Module is based on the National Forest Service's
Monitoring and Evaluation (NFS M&E) Framework , which was established to help
Forest Service planners meet monitoring requirements. The framework focuses on the
need to monitor progress toward desired conditions of key resources such as biological
diversity; land health and vitality; soil, water and air; social benefits; economic benefits;
and intrastructure capacity (USDA FS 2014d). For more information, visit the Forest
Service's Monitoring and Evaluation Framework web page
(http://www.fs.fed.us/emc/met/).
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
Appendices
The MT 2005 Monitoring Guide Questions module is based off of the Mark Twain
National Forest Monitoring Guide. The module consists of questions matched to the 2012
Rule Objectives.
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Appendix D – Working with tables in DATIM
Open Analysis Table in ATIM
There are various things you can do to customize the table on the Open Analysis page to make it
easier to use, including resizing the column widths, rearranging the column order, sorting
analyses (alphabetically or chronologically), controlling the table's pages, filtering with search
terms, viewing multiple pages, and grouping analyses.
Resizing column widths
To resize the width of a column, drag the divider line to the left to shorten the column width, or
to the right to lengthen the column width (Figure D-1).
Figure D-1 Resizing column widths in the 'Open Analysis' table.
Rearranging column order
To rearrange the order in which columns are displayed, drag and drop a column header on the
divider line where you want the column inserted (Figure D-2).
Figure D-2. Dragging a column header to a new position in the 'Ope n Analysis' table.
Sorting analyses alphabetically and chronologically
To sort the Open Analysis table alphabetically or chronologically, click on the column header
once. If the column uses text, this will sort it alphabetically from A to Z; if the column uses dates
and times, clicking on the header will sort the column from oldest to newest (Figure D-3). If you
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would like to sort in the opposite direction, from Z to A or from newest to oldest, click on the
column header a second time.
Figure D-3. Sorting analyses in the 'Open Analysis' table alphabetically or chronologically.
Accessing table pages
The Open Analysis table displays up to 45 rows in DATIM version 4.0. If there are more than 45
analyses in the DATIM data mart, you will need to use the left or right arrow buttons at the top
right-hand corner of the page to navigate from one page to the next (Figure D-4). Additionally, If
you know which page you would like to go to, type that page number in the text box and then
press the enter key to access that page.
Figure D-4. Controlling the 'Open Analysis' table pages.
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Filtering analyses by using search terms
To filter the table of analyses, type a search term in the text box below the Open Analysis page
label. In our example (Figure D-5), we used the search term Tennessee to filter the table. The
table now displays only those analyses containing our search term. All other rows have been
filtered out.
The search term used will be indicated in red in the analyses that are filtered. In addition, the
table cell will be highlighted in yellow if it contains the search term that was used. The selected
analysis will be highlighted in blue.
Figure D-5. Filtering the 'Open Analysis' table by using a search term.
A few things to be aware of when filtering: (1) search terms are not case-sensitive; (2) spelling
must be correct; (3) multiple words must be entered in the exact order they appear in the table;
(4) syntax rules do not apply (e.g. OR, AND, quotation marks, etc.); and, (5) the filter is applied
to each page in the table, with search results displayed for each page.
To remove a filter, delete the search term from the search box.
Grouping analyses by common features
You can rearrange the Open Analysis table by grouping analyses together by common features.
The grouping behaviors differ according to which column you choose to group (Error!
Reference source not found.).
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Table 2. Grouping the 'Open Analysis' table.
Column
Grouping Behavior
Analysis
Groups the rows by the analysis name. Because each analysis name must be
unique, each grouping will contain only one analysis. Typically, the analysis
name will indicate the State or National Forest inventoried and the inventory
years (e.g., Alaska 2004-2010).
Description
Groups the rows by description. Because each description must be unique,
each grouping will contain only one analysis. Thus, it is not recommended that
you group by this column.
Analyst
Groups the rows by the analyst, or user, who created the analysis. All of the
analyses created by a given user will be grouped together under that user's
name.
Creation Date
Groups the rows by the date and time the analyses were created. Because it is
unlikely that more than one analysis was created on the same date at the same
time, each grouping will likely contain only one analysis.
Last Modified
Groups the rows by the date and time the analyses were last modified. Because
it is unlikely that more than one analysis was modified on the same date at the
same time, each grouping will likely contain only one analysis.
TIP:
The most useful grouping is the Analyst column (which groups analyses by the user
who created them).
To group analyses by a common feature, drag and drop the column header to the grouping area
(Figure D-6).
Figure D-6. Sorting the 'Open Analysis' table by a column feature.
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A new button appears with the name of the grouping feature. The rows in the table are then
grouped by that specific feature (Figure D-7).
Figure D-7. The 'Open Analysis' table grouped by 'Analyst'.
To group analyses by a second common feature, drag and drop a second column header to the
grouping area. A second button with the name of grouping feature will appear next to the first
button.
To remove a grouping command, click on the 'x' on the associated button to remove the grouping
feature (Figure D-8).
Figure D-8. Removal of a grouping feature in the 'Open Analysis' table.
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Formatting the FVS Results Tables
There are various things you can do to customize the FVS Results table to make it easier to use,
including resizing the column widths, and applying filters.
Rearranging column order
To rearrange the order in which columns are displayed in the FVS Results table:
1. Position the mouse pointer on the column header of the column you want to move .
2. Hold down the left mouse button and drag the mouse in the direction you want to move the
column (to the right or left).
3. Position the 'shadow' of the column header so that it is centered on the divider line where you
want the column inserted.
4. Drop the column into the new position by releasing the left mouse button (Figure D-9).
Figure D-9. Rearranging the column order in the 'FVS Results' table.
Applying a text filter
Filtering the FVS Results table is useful for quickly locating a particular term in columns that
use text. There are four options for filtering by text:
Contains
This search filter returns all rows containing the specified characters in the column being filtered.
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Starts With
This search filter returns all rows for which the column being filtered starts with the specified
text.
Ends With
This search filter returns all rows for which the column being filtered ends with the specified
text.
Equals
This search filter returns all rows containing the exact term you have specified for the column
being filtered.
Not Equals
This search filter excludes any rows containing the exact term you have specified for the column
being filtered.
To apply filters to columns that use text:
1. Allow your mouse pointer to hover over the header of the text column you want to filter. A
downward arrow appears. Click on the arrow to open the text filter. In our example (Figure
D-10), we have opened the filter for the 'DomType' column.
Figure D-10.Opening the text filter for a given column in the ‘FVS Results’ table.
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2. Click the arrow to open the drop-down menu located on the right-hand side of the filter to
expand the menu of filter options (Figure D-11).
Figure D-11. Expanding the text filtering options.
3. Select a search filter from the drop-down menu. In the textbox to the right of the filter, enter
your search term or criterion. In our example (Figure D-12), we want to filter the table to
include only rows containing the term ACSA3 in the 'DomType' column.
Figure D-12. Example of a text filter selection.
The filtered table now includes only the rows which contain the term ACSA3 in the
'DomType' column (Figure D-13).
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Figure D-13. Example of the ‘FVS Results’ table filtered by a text entry.
Applying a numeric filter
You can apply numeric filters to one or more columns in the FVS Results table to exclude
values you are not interested in viewing. There are a number of available filtering options:
Equals
This search filter returns all rows containing the exact value specified for the column
being filtered.
Greater
This search filter returns all rows containing a value greater than the value specified for
the column being filtered.
Greater/Equals
This search filter returns all rows containing a value equal to or greater than the value
specified for the column being filtered.
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Less
This search filter returns all rows containing a value less than the value specified for the
column being filtered.
Less/Equals
This search filter returns all rows containing a value equal to or less than the value
specified for the column being filtered.
Not Equals
This search filter excludes any rows containing the exact value specified for the column
being filtered.
Or
This filter option returns all rows that meet the criterion for either the first or second filter
you have specified for a given column.
And
This filter option returns all rows that meet the criteria for both the first and second filters
you have specified for a given column.
To apply a numeric filter:
1. Allow your mouse pointer to hover over the header of the numeric column you want to filter.
A downward arrow appears. Click on the arrow to open the numeric filter. In our example
(Figure D-14), we have opened the filter for the ‘Trees_002fAc’ column.
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Figure D-14.Opening the numeric filter for a given column in the ‘FVS Results’ table.
2. Click the arrow to open the drop-down menu located on the left-hand side of the filter to
expand the menu of filter options (Figure D-15).
Figure D-15. Expanding the numeric filtering options.
3. Select a numeric filter from the drop-down menu. In the box to the right of the filter, enter
your numeric criterion. If desired, specify the second filter you want to apply. In our example
(Figure D-16), we want to filter the table to include only rows containing a value greater than
or equal to 1,000.00 and less than 10,000.00 in the 'Trees_002fAc’column.
4. Click the Filter button (Figure D-16).
DATIM 4.0 User Guide for Registered Users
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Technical Appendices (revision: 01.2016)
Appendices
Figure D-16. Example of a numeric filter selection.
The filtered table now includes only the rows that meet the criteria specified in our numeric
filter (Figure D-17).
Figure D-17. Example of the ‘FVS Results’ table filtered by numeric criteria.
Clearing a text or numeric filter
You can apply text and numeric filters to as many columns as you desire. If a column has a filter
associated with it, the filter icon appears in the corner of the column header (Figure D-18).
To clear a filter:
1. Click the filter icon for the column you want to clear the filter from (Figure D-18).
DATIM 4.0 User Guide for Registered Users
Appendices-20
Technical Appendices (revision: 01.2016)
Appendices
2. Click the Clear button to remove the filter (Figure D-18).
Figure D-18. Clearing a filter.
The filter is now cleared.
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Appendices-21
Technical Appendices (revision: 01.2016)
Appendices
Appendix E – Standard reports preloaded in ATIM
Standard ATIM Reports:
Report Code
Report Description
Tree Biomass reports
ATIM fDRY_BIOMASS_CWD
Dry weight of CWD on forest land by ownership class and
reserve status.
ATIM fDRY_BIOMASS_CWD 2
Dry weight of CWD on forest land by ownership class and site
productivity class.
ATIM fDry weight of DWM piles on forest land by ownership class
DRY_BIOMASS_DWM_PILE and reserve status.
ATIM fDry weight of DWM piles on forest land by ownership class
DRY_BIOMASS_DWM_PILE and site productivity class.
2
ATIM fDRY_BIOMASS_LG_FWD
Dry weight of FWD (large) pieces on forest land by ownership
class and reserve status.
ATIM fDRY_BIOMASS_LG_FWD 2
Dry weight of FWD (large) pieces on forest land by ownership
class and site productivity class.
ATIM fDRY_BIOMASS_LG_FWD 3
Dry weight of FWD (large) pieces on forest land by forest-type
group and site productivity class.
ATIM fDRY_BIOMASS_MD_FWD
Dry weight of FWD (medium) pieces on forest land by
ownership class and reserve status.
ATIM fDRY_BIOMASS_MD_FWD 2
Dry weight of FWD (medium) pieces on forest land by
ownership class and site productivity class.
ATIM fDRY_BIOMASS_SM_FWD
Dry weight of FWD (small) pieces on forest land by ownership
class and reserve status.
ATIM fDRY_BIOMASS_SM_FWD 2
Dry weight of FWD (small) pieces on forest land by ownership
class and site productivity class.
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Appendices-22
Technical Appendices (revision: 01.2016)
Report Code
Appendices
Report Description
Area reports
ATIM02.1 f-AREA
Area of forest land by owner class and reserved status
ATIM02.2 f-AREA
Area of forest land by forest-type group and site productivity class
ATIM02.2 t-AREA
Area of timberland by forest-type group and site productivity class
ATIM02.3 f- AREA
Area of forest land by forest-type group by ownership group
ATIM02.3 t-AREA
Area of timberland by forest-type group by site productivity class
ATIM02.4 f-AREA
Area of forest land by forest-type group by stand-size class
ATIM02.4 t-AREA
Area of timberland by forest-type group by stand-size class
ATIM02.8 f-AREA
Area of forest land by county and forest-type group
Tree count reports
ATIM04.1 f-NBR_TREE
Number of live trees (at least 1 inch diameter at breast height
(d.b.h.)/diameter at root collar (d.r.c.)) on forest land by species
group and diameter class
ATIM04.2 f-NBR_TREE
Number of live trees (at least 1 inch d.b.h./d.r.c.) on forest land by
species group and tree class
ATIM05.1 f-NBR_TREE
Number of growing-stock trees (at least 5 inches d.b.h.) on forest
land by species group and diameter class
ATIM06.1 f-NBR_TREE
Number of standing-dead trees (at least 5 inches d.b.h./d.r.c.) on
forest land by species group and diameter class
Tree biomass reports
ATIM10.1 fDRY_BIOMASS_AG
Aboveground dry weight of live trees (at least 1 inch d.b.h./d.r.c.) on
forest land by species group and diameter class
ATIM10.2 fDRY_BIOMASS_AG
Aboveground dry weight of standing-dead trees (at least 5 inches
d.b.h./d.r.c.) by species group and diameter class
ATIM10.3 fDRY_BIOMASS_AG
Aboveground dry weight of live trees (at least 1 inch d.b.h./d.r.c.) on
forest land by ownership class and reserve status
ATIM10.4 fDRY_BIOMASS_AG
Aboveground dry weight of standing-dead trees (at least 5 inches
d.b.h./d.r.c.) on forest land by ownership class and reserve status
DATIM 4.0 User Guide for Registered Users
Appendices-23
Technical Appendices (revision: 01.2016)
Appendices
Report Code
Report Description
ATIM11.1 fDRY_BIOMASS_BOLE
Aboveground dry weight in the merchantable bole of live trees (at
least 5 inches d.b.h.) on forest land by species group and diameter
class
Tree volume reports
ATIM14.1 f-NET_VOL_CF
Net volume of live trees (at least 5 inches d.b.h./d.r.c.) on forest land
by owner class and reserved status
ATIM14.2 f-NET_VOL_CF
Net volume of standing-dead trees (at least 5 inches d.b.h./d.r.c.) on
forest land by owner class and reserved status
ATIM14.3 f-NET_VOL_CF
Net volume of live trees (at least 5 inches d.b.h./d.r.c.) on forest land
by forest-type group and stand-size class
ATIM14.4 f-NET_VOL_CF
Net volume of standing-dead trees (at least 5 inches d.b.h./d.r.c.) on
forest land by forest-type group and stand-size class
ATIM14.5 f-NET_VOL_CF
Net volume of live trees (at least 5 inches d.b.h./d.r.c.) on forest land
by species group and diameter class.
ATIM14.6 f-NET_VOL_CF
Net volume of standing-dead trees (at least 5 inches d.b.h./d.r.c.) on
forest land by species group and diameter class
ATIM16.1 fNET_VOL_CF_SAWLOG
Net volume of sawlog portion of sawtimber trees on forest land by
species group and diameter class
ATIM22.1 f-GROSS_VOL_BF
Gross volume of sawtimber trees (International 1/4-inch rule) on
forest land by species group and diameter class
ATIM23.1 f-GROSS_VOL-CF
Gross volume of live trees (at least 5 inches d.b.h./d.r.c.) on forest
land by species group and diameter class
ATIM24.1 f-SOUND_VOL_CF
Sound volume of live trees (at least 5 inches d.b.h./d.r.c.) on
forestland by species group and diameter class
Tree carbon reports
ATIM47.1 fCOND_C_STAND_DEAD
Carbon in standing dead trees (at least 5 inches d.b.h./d.r.c.) on forest
land by state and ownership group
ATIM53.1 f_C_AG
Aboveground carbon in live trees (at least 1 inch d.b.h./d.r.c.) by
species group and diameter class
ATIM53.2 f-C_AG
Aboveground carbon in live trees (at least 1 inch d.b.h./d.r.c.) by
state and ownership group
DATIM 4.0 User Guide for Registered Users
Appendices-24
Technical Appendices (revision: 01.2016)
Appendices
Report Code
Report Description
ATIM54.1 f-C_BG
Belowground carbon in live trees (at least 1 inch d.b.h./d.r.c.) by
species group and diameter class
ATIM54.2 f-C_BG
Belowground carbon in live trees (at least 1 inch d.b.h./d.r.c.) by
state and ownership group
DATIM 4.0 User Guide for Registered Users
Appendices-25
Technical Appendices (revision: 01.2016)
Appendices
Appendix F – Printing ATIM Report Res ults Using a Xerox 7400 Laser
Printer
There is a known bug that prevents users from successfully printing ATIM report results when
using a Xerox Phaser 7400 laser printer. The following steps should solve this problem.
1. Click the print button on the ATIM Report Results toolbar (Figure F-1).
Figure F-1. The Print Icon on the Report Results toolbar.
2. Select the printer which will not print the results, then click Preferences button (Figure F-2).
Figure F-2. Selecting your desired printer and then the preferences button.
3. On Printing Preferences dialog for Xerox Phaser 7400, select Advanced tab >Document
Options > Image Options.
DATIM 4.0 User Guide for Registered Users
Appendices-26
Technical Appendices (revision: 01.2016)
Appendices
Figure F-3. Selecting printing preferences from the Advanced tab.
4. Change the PostScript Pass-through option from Enabled to Disabled.
NOTE:
To achieve better layout results, select Paper Output tab > Paper > Layout
button, then select Landscape.
DATIM 4.0 User Guide for Registered Users
Appendices-27
Technical Appendices (revision: 01.2016)
Appendices
Appendix G – DCS and the Forest Vegetation Simulator (FVS) overview
As illustrated in Figure G-1, prior to working with DCS, vegetation field data were collected,
error checked, and stored in a corporate database such as FIADB, FSVeg, or NIMS. The data
were then extracted, transformed, and loaded – or ETL'ed – from the external data sources into
the DATIM data mart and stored as ETL Projects by State and Year. The DATIM Administrator
then identified the ETL Project to be used to create a new DATIM dataset for use in ATIM
analyses. The ETL data were converted into an FVS-ready format and the converted data stored
in the DATIM data mart. Next, FVS was run to “compile” the data to provide current year data
estimates and to create additional attributes. (See Appendix H for a list of DATIM dataset
attributes.) Finally, the compiled data were error checked before being loaded into the DATIM
data mart.
Figure G-1. Workflow for creating a DATIM dataset.
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Appendices-28
Technical Appendices (revision: 01.2016)
Appendices
Inventory data are typically collected over a 5, 7 or 10 year cycle, which varies by FIA region.
An inventory is considered complete once the data for each year in that cycle have been
collected. For example, data must be present for years 1999, 2000, 2001, 2002 and 2003 to
complete a 5 year cycle for inventory start year 1999. Working with DCS, the compiler must be
run on each of the ETL Projects for each of these years, because DCS can only process one year
at a time.
Forest Vegetation Simulator (FVS) overview
Forest Vegetation Simulator (FVS) is the forest growth and yield model used by the USDA
Forest Service and other government agencies to predict forest stand dynamics, and by forest
managers to summarize current stand conditions, predict future stand conditions under various
management alternatives, and update inventory statistics (Dixon 2002). For more information on
FVS, visit the FVS home page (http://www.fs.fed.us/fmsc/fvs/).
DCS uses FVS to create new computed attributes from inventory attributes. Compiled data sets
with these new computed attributes can then be used to provide FVS with current year estimates
and projections such as growth, management, and yields, as well as future projections for forest
and vegetation populations.
The keyword component file (KCP) is a text file that contains keywords that tell FVS what to do.
A simple example of a KCP file using the keywords “InvYear”, “NumCycle” and “TimeInt” is
shown below (Figure G-2).
Figure G-2. Example of a KCP file.
For more information about FVS, visit the U.S. Forest Service Forest Vegetation Simulator web
page (http://www.fs.fed.us/fmsc/fvs/index.shtml) to learn more and access resources.
For a list of KCP keywords and their descriptions, download the "Keyword Reference Guide for
the Forest Vegetation Simulator" from the FVS User Guides
(http://www.fs.fed.us/fmsc/fvs/documents/userguides.shtml).
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Appendices-29
Technical Appendices (revision: 01.2016)
DATIM 4.0 User Guide for Registered Users
Appendices
Appendices-30
Technical Appendices (revision: 01.2016)
Appendices
Appendix H– List of DATIM Dataset Attri butes
DATIM database attributes computed by Cmp_FVS_Model_Output.kcp KCP file and found in
FVSOut.mdb.
DATIM Database Attribute Name
from Table SAMP_UNIT_FOREST
Description
Where & How Computed
FVS_ANNUAL_CF_GROW
FVS Annual Cubic
Foot Growth
(Mort+PAI).
CuGrow from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_ANNUAL_CF_MORT
FVS Annual Cubic
Foot Mortality (Mort).
CuMort from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_BF_HARVEST
FVS Harvest –
Merchantable Board
Feet/Acre
ABdFt from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_BF_LIVE
Merchantable Board
Feet/Acre.
BMCuFt from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_CF_HARVEST
FVS Harvest –
Merchantable Cubic
Feet/Acre
AMCuFt from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_CROWN_BASE_HT
FVS Crown Base
Height.
CrBsHgt from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_CROWN_BULK_DENSITY
FVS Crown Bulk
Density.
CrBlkDn from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_CROWN_INDEX
FVS Crowning Index.
CrwnIdx from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_CWD_DIA_0TO3_INCH
FVS Coarse Woody
Debris 0-3 in.
diameter.
CWD00t03 from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_CWD_DIA_11PLUS_INCH
FVS Coarse Woody
Debris 12 in.+
diameter.
CWD12p from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_CWD_DIA_3TO12_INCH
FVS Coarse Woody
Debris 3-12 in.
diameter.
CWD03t12 from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
DATIM 4.0 User Guide for Registered Users
Appendices-31
Technical Appendices (revision: 01.2016)
Appendices
DATIM Database Attribute Name
from Table SAMP_UNIT_FOREST
Description
Where & How Computed
FVS_CWD_DUFF_LAYER
FVS Coarse Woody
Debris Duff Layer.
CWDDuff from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_CWD_LITTER_LAYER
FVS Coarse Woody
Debris Litter Layer.
CWDLttr from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_DWARF_MISTLETOE_AWARE
_IND
FVS Dwarf Mistletoe
Awareness Indicator.
DMAI from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_MTN_PINE_BEETLE_HAZARD
FVS Mountain Pine
Beetle Hazard
(Ponderosa Pine).
MPB_HZRD from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_NEW_SNAG_TPA_11PLUS_IN
CH
FVS Recruit Snags 11
in.+ tpa.
Rcr11p from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_NEW_SNAG_TPA_12TO18_IN
CH
FVS Recruit Snags
12-18 in. tpa
Rcr12t18 from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_NEW_SNAG_TPA_18PLUS_IN
CH
FVS Recruit Snags 18
in.+ tpa.
Rcr18p from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_NEW_SNAG_TPA_3TO11_INC
H
FVS Recruit Snags
03-11 in. tpa.
Rcr03t11 from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_NEW_SNAG_TPA_8TO12_INC
H
FVS Recruit Snags
08-12 in. tpa.
Rcr08t12 from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_PCT_SDI_DIA_12TO18_INCH
FVS Percent Stand
Density Index (Dj) 1218 in. diameter.
SDI12%18 from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_PCT_SDI_DIA_18TO24_INCH
FVS Percent Stand
Density Index (Dj) 1824 in. diameter.
SDI18%24 from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_PCT_SDI_DIA_1TO5_INCH
FVS Percent Stand
Density Index (Dj) 15 in.
SDI01%05 from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
DATIM 4.0 User Guide for Registered Users
Appendices-32
Technical Appendices (revision: 01.2016)
Appendices
DATIM Database Attribute Name
from Table SAMP_UNIT_FOREST
Description
Where & How Computed
FVS_PCT_SDI_DIA_24PLUS_INCH
FVS Percent Stand
Density Index (Dj) 24
in.+ diameter.
SDI24% from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_PCT_SDI_DIA_5TO12_INCH
FVS Percent Stand
Density Index (Dj) 512 in. diameter.
SDI05%12 from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_PROPORTION_STOCK_AREA
FVS Proportion
Stockable Area.
Prp_Stck from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_SDI_REINEKE_DQ_METH
FVS Stand Density
Index - Reineke (Dq)
Method.
SDI_Dq from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_SDI_ZEIDE_DJ_METH
FVS Stand Density
Index - Zeide (Dj)
Method.
SDI_Dj from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_SNAG_TPA_11PLUS_INCH
FVS Snags 11
in.+ tpa.
Sng11p from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_SNAG_TPA_12TO18_INCH
FVS Snags 12-18 in.
tpa.
Sng12t18 from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_SNAG_TPA_18PLUS_INCH
FVS Snags 18
in.+ tpa.
Sng18p from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_SNAG_TPA_3TO11_INCH
FVS Snags 03-11 in.
tpa
Sng03t11 from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_SNAG_TPA_8TO12_INCH
FVS Snags 08-12 in.
tpa.
Sng08t12 from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_SPRUCE_BEETLE_HAZARD
FVS Spruce Beetle
Hazard.
SB_HZRD from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_STAND_BIOMASS_TREE
FVS Stand Biomass
for the Tree
Component.
TrBiomss=TreeBio(1,1,1,All,0.,200.
,0.,500.) from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
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Appendices-33
Technical Appendices (revision: 01.2016)
Appendices
DATIM Database Attribute Name
from Table SAMP_UNIT_FOREST
Description
Where & How Computed
FVS_STAND_CARBON
FVS Stand Carbon.
StdCarbn from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
FVS_TORCH_INDEX
FVS Torching Index.
TrchIdx from FVS program
Cmp_FVS_Model_Output.kcp using
file FVSOut.mdb
DATIM 4.0 User Guide for Registered Users
Appendices-34
Technical Appendices (revision: 01.2016)
Appendices
Appendix I – List of FVS Variants
List of FVS variants by ID and name, with hyperlinks to variant overview documents.
Variant ID
Variant Name
Southeast Alaska and Costal British Columbia
AK
(http://www.fs.fed.us/fmsc/ftp/fvs/docs/overviews/FVSak_Overview.pdf)
Blue Mountains
BM
(http://www.fs.fed.us/fmsc/ftp/fvs/docs/overviews/FVSbm_Overview.pdf)
Inland California and Southern Cascades
CA
(http://www.fs.fed.us/fmsc/ftp/fvs/docs/overviews/FVSca_Overview.pdf)
Central Idaho
CI
(http://www.fs.fed.us/fmsc/ftp/fvs/docs/overviews/FVSci_Overview.pdf)
Central Rockies
CR
(http://www.fs.fed.us/fmsc/ftp/fvs/docs/overviews/FVScr_Overview.pdf)
Central States
CS
(http://www.fs.fed.us/fmsc/ftp/fvs/docs/overviews/FVScs_Overview.pdf)
East Cascades
EC
(http://www.fs.fed.us/fmsc/ftp/fvs/docs/overviews/FVSec_Overview.pdf)
Eastern Montana
EM
(http://www.fs.fed.us/fmsc/ftp/fvs/docs/overviews/FVSem_Overview.pdf)
Klamath Mountains
NC
(http://www.fs.fed.us/fmsc/ftp/fvs/docs/overviews/FVSnc_Overview.pdf)
Kootenai, Kaniksu, and Tally Lake
KT
(http://www.fs.fed.us/fmsc/ftp/fvs/docs/overviews/FVSkt_Overview.pdf)
Lake States
LS
(http://www.fs.fed.us/fmsc/ftp/fvs/docs/overviews/FVSls_Overview.pdf)
NE
Northeast
DATIM 4.0 User Guide for Registered Users
Appendices-35
Technical Appendices (revision: 01.2016)
Variant ID
Appendices
Variant Name
(http://www.fs.fed.us/fmsc/ftp/fvs/docs/overviews/FVSne_Overview.pdf)
Inland Empire
IE
(http://www.fs.fed.us/fmsc/ftp/fvs/docs/overviews/FVSie_Overview.pdf)
Pacific Northwest Coast
PN
(http://www.fs.fed.us/fmsc/ftp/fvs/docs/overviews/FVSpn_Overview.pdf)
Southern
SN
(http://www.fs.fed.us/fmsc/ftp/fvs/docs/overviews/FVSsn_Overview.pdf)
South Central Oregon and Northeast California
SO
(http://www.fs.fed.us/fmsc/ftp/fvs/docs/overviews/FVSso_Overview.pdf)
Tetons
TT
(http://www.fs.fed.us/fmsc/ftp/fvs/docs/overviews/FVStt_Overview.pdf)
Utah
UT
(http://www.fs.fed.us/fmsc/ftp/fvs/docs/overviews/FVSut_Overview.pdf)
Westside Cascades
WC
(http://www.fs.fed.us/fmsc/ftp/fvs/docs/overviews/FVSwc_Overview.pdf)
Western Sierra Nevada
WS
(http://www.fs.fed.us/fmsc/ftp/fvs/docs/overviews/FVSws_Overview.pdf)
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Appendices-36
Technical Appendices (revision: 01.2016)
Appendices
Appendix J – List of FVSStand Data Attributes
Attributes computed by FVSStand Post Processor and found in x_Veg_Values.txt.
DATIM Database Attribute
Name from Table
SAMP_UNIT_FOREST
Description
Where & How Computed
FVS_ATTR
Basis for Dominance Type
(i.e. Canopy Cover, Basal
Area, Trees)
ATTRIB from FVS program FVSStand
Post Processor using file
x_Veg_Values.txt in columns 95-97
FVS_ATTR_ALL
All species contribution to
Attribute basis
VCCT(NA,5,KK) from FVS program
FVSStand Post Processor using file
x_Veg_Values.txt in columns 121-130
FVS_ATTR_GENUS1
Primary genus contribution
to Attribute basis
GCC1 from FVS program FVSStand
Post Processor using file
x_Veg_Values.txt in columns 206-215
FVS_ATTR_GENUS2
Secondary genus
contribution to Attribute
basis
GCC2 from FVS program FVSStand
Post Processor using file
x_Veg_Values.txt in columns 216-225
FVS_ATTR_GENUS3
Tertiary genus contribution
to Attribute basis
GCC3 from FVS program FVSStand
Post Processor using file
x_Veg_Values.txt in columns 226-235
FVS_ATTR_HARDWOOD
Hardwood species
contribution to Attribute
basis
VCCT(ND,5,KK) from FVS program
FVSStand Post Processor using file
x_Veg_Values.txt in columns 111-120
FVS_ATTR_PCT_GENUS1
Primary genus contribution
to Attribute on a percentage
basis
XGCC1 from FVS program FVSStand
Post Processor using file
x_Veg_Values.txt in columns 236-245
FVS_ATTR_PCT_GENUS2
Secondary genus
contribution to Attribute on a
percentage basis
XGCC2 from FVS program FVSStand
Post Processor using file
x_Veg_Values.txt in columns 246-255
FVS_ATTR_PCT_GENUS3
Tertiary genus contribution
to Attribute on a percentage
basis
XGCC3 from FVS program FVSStand
Post Processor using file
x_Veg_Values.txt in columns 256-265
Primary species contribution
FVS_ATTR_PCT_SPECIES1 to Attribute on a percentage
basis
XSCC1 from FVS program FVSStand
Post Processor using file
x_Veg_Values.txt in columns 161-170
Secondary species
FVS_ATTR_PCT_SPECIES2 contribution to Attribute on a
percentage basis
XSCC2 from FVS program FVSStand
Post Processor using file
x_Veg_Values.txt in columns 171-180
Tertiary species contribution
FVS_ATTR_PCT_SPECIES3 to Attribute on a percentage
basis
XSCC3 from FVS program FVSStand
Post Processor using file
x_Veg_Values.txt in columns 181-190
DATIM 4.0 User Guide for Registered Users
Appendices-37
Technical Appendices (revision: 01.2016)
Appendices
DATIM Database Attribute
Name from Table
SAMP_UNIT_FOREST
Description
Where & How Computed
FVS_ATTR_SOFTWOOD
Softwood species
contribution to Attribute
basis
VCCT(NC,5,KK) from FVS program
FVSStand Post Processor using file
x_Veg_Values.txt in columns 101-110
FVS_ATTR_SPECIES1
Primary species contribution
to Attribute basis
SCC1 from FVS program FVSStand
Post Processor using file
x_Veg_Values.txt in columns 131-140
FVS_ATTR_SPECIES2
Secondary species
contribution to Attribute
basis
SCC2 from FVS program FVSStand
Post Processor using file
x_Veg_Values.txt in columns 141-150
FVS_ATTR_SPECIES3
Tertiary species contribution
to Attribute basis
SCC3 from FVS program FVSStand
Post Processor using file
x_Veg_Values.txt in columns 151-160
FVS_BA_STEM
FVS basal area per acre
(trees at least 1.0 in.
diameter).
BASTM from FVS program FVSStand
Post Processor using file
x_Veg_Class.txt in columns 241-250
FVS_BA_STORY
FVS canopy layers/stories
(R3 ruleset, basal area per 8
in. sliding diameter range).
STORY from FVS program FVSStand
Post Processor using file
x_Veg_Class.txt in columns 141-150
FVS_BA_WT_DIA
FVS basal area weighted
diameter (including seedlings
and stems).
BAWD from FVS program FVSStand
Post Processor using file
x_Veg_Class.txt in columns 281-290
FVS_BA_WT_HT
FVS basal area weighted
height (including seedlings
and stems).
BAWH from FVS program FVSStand
Post Processor using file
x_Veg_Class.txt in columns 301-310
FVS_BA_WT_SIZCL
FVS basal area weighted
diameter size class.
BSC from FVS program FVSStand Post
Processor using file x_Veg_Class.txt in
columns 291-300
FVS_CAN_AGE
FVS stand age of
FVS_CAN_SIZCL
ICSA from FVS program FVSStand
Post Processor using file
x_Veg_Class.txt in columns 201-210
FVS_CAN_CLASS
FVS canopy cover corrected
for overlap (including
seedlings and stems).
DMCC from FVS program FVSStand
Post Processor using file
x_Veg_Class.txt in columns 121-130
FVS canopy cover by
interval class (NFS Regional
rulesets).
FVS canopy cover dominant
size class (R2 veg species
calcs, R3 mid-scale
mapping).
VCCT(NA,5,22) from FVS program
FVSStand Post Processor using file
x_Veg_Class.txt in columns 111-120
FVS_CAN_COV
FVS_CAN_SIZCL
DATIM 4.0 User Guide for Registered Users
IDLYR from FVS program FVSStand
Post Processor using file
x_Veg_Class.txt in columns 101-110
Appendices-38
Technical Appendices (revision: 01.2016)
DATIM Database Attribute
Name from Table
SAMP_UNIT_FOREST
FVS_CAN_STORY
FVS_CAN_SZTMB
FVS_CAN_SZWDL
Appendices
Description
Where & How Computed
FVS canopy layers/stories
(R6 ruleset, canopy cover per
subordinate layers).
FVS canopy cover dominant
size class (R2 HSS size
classes, R3 timberland types,
R4 SWIE size classes).
FVS canopy cover dominant
size class R3 woodland
types.
VSTRCT from FVS program FVSStand
Post Processor using file
x_Veg_Class.txt in columns 131-140
ITLYR from FVS program FVSStand
Post Processor using file
x_Veg_Class.txt in columns 261-270
IWLYR from FVS program FVSStand
Post Processor using file
x_Veg_Class.txt in columns 271-280
FVS_CYCLE_NBR
FVS projection cycle
number.
??? from FVS program FVSStand Post
Processor using file x_Veg_Class.txt in
columns 28-30
FVS_DOM_TYPE
FVS dominance type (NFS
Regional rulesets).
ADTYP from FVS program FVSStand
Post Processor using file
x_Veg_Class.txt in columns 51-70
FVS_FIA_TYPE
FVS Forest Inventory
Analysis (FIA) forest cover
types.
AFT from FVS program FVSStand Post
Processor using file x_Veg_Class.txt in
columns 181-190
FVS_GENUS1
Primary genus tree genus
index number.
IG1 from FVS program FVSStand Post
Processor using file x_Veg_Values.txt in
columns 266-270
FVS_GENUS2
Secondary genus tree genus
index number.
IG2 from FVS program FVSStand Post
Processor using file x_Veg_Values.txt in
columns 271-275
FVS_GENUS3
Tertiary genus tree genus
index number.
IG3 from FVS program FVSStand Post
Processor using file x_Veg_Values.txt in
columns 276-280
FVS_PROJECTION_YEAR
FVS projection year.
??? from FVS program FVSStand Post
Processor using file x_Veg_Class.txt in
columns 321-330
FVS_PVT
FVS potential vegetation
type.
APVT from FVS program FVSStand
Post Processor using file
x_Veg_Class.txt in columns 41-50
FVS_QMD_AGE
FVS stand age of
FVS_QMD_TOP20.
IQMDSA from FVS program FVSStand
Post Processor using file
x_Veg_Class.txt in columns 191-200
FVS_QMD_SIZCL
FVS quadratic mean
diameter by 5 in. interval
(i.e. 0-5 in., 5-10 in., 10-15
in., 15-20 in., 20-25 in., 25+
QSC from FVS program FVSStand Post
Processor using file x_Veg_Class.txt in
columns 91-100
DATIM 4.0 User Guide for Registered Users
Appendices-39
Technical Appendices (revision: 01.2016)
DATIM Database Attribute
Name from Table
SAMP_UNIT_FOREST
Description
Appendices
Where & How Computed
in.).
FVS_QMD_STEM
FVS_QMD_TOP20
FVS_ROCKY_MTN_VSS
FVS quadratic mean
diameter (trees at least 1.0 in.
diameter).
FVS quadratic mean
diameter (top 20% by
diameter (exclude seeds
unless < 10% canopy cover,
then seeds +)).
FVS Rocky Mountain
Vegetative Structural Stage
(Goshawk guidelines).
QMDSTM from FVS program
FVSStand Post Processor using file
x_Veg_Class.txt in columns 231-240
QMDT20 from FVS program FVSStand
Post Processor using file
x_Veg_Class.txt in columns 81-90
AVSS from FVS program FVSStand
Post Processor using file
x_Veg_Class.txt in columns 171-180
FVS_SDI_STORY
FVS canopy layers/stories
(R3 ruleset, canopy cover).
STRY from FVS program FVSStand
Post Processor using file
x_Veg_Class.txt in columns 161-170
FVS_SDI_SUM
FVS Stand Density Index
(summation method (trees at
least 1.0 in. diameter)).
ISDISM from FVS program FVSStand
Post Processor using file
x_Veg_Class.txt in columns 251-260
FVS_SEED_PER_AC
FVS seedlings per acre (trees
< 1.0 in. diameter).
VCC(NA,0,10) from FVS program
FVSStand Post Processor using file
x_Veg_Class.txt in columns 211-220
FVS_SPECIES1
Primary species FVS tree
species number (FVS Variant
specific).
IS1 from FVS program FVSStand Post
Processor using file x_Veg_Values.txt in
columns 191-195
FVS_SPECIES2
Secondary species FVS tree
species number (FVS Variant
specific).
IS2 from FVS program FVSStand Post
Processor using file x_Veg_Values.txt in
columns 196-200
FVS_SPECIES3
Tertiary species FVS tree
species number (FVS Variant
specific).
IS3 from FVS program FVSStand Post
Processor using file x_Veg_Values.txt in
columns 201-205
FVS_STAND_AGE
FVS stand age (FIA).
JAGE from FVS program FVSStand
Post Processor using file
x_Veg_Class.txt in columns 31-40
FVS_STEM_PER_AC
FVS trees per acre (trees at
least 1.0 in. diameter).
STEMS from FVS program FVSStand
Post Processor using file
x_Veg_Class.txt in columns 221-230
DATIM 4.0 User Guide for Registered Users
Appendices-40
Technical Appendices (revision: 01.2016)
Appendices
DATIM Database Attribute
Name from Table
SAMP_UNIT_FOREST
Description
Where & How Computed
FVS_TREE_PER_AC
FVS trees per acre (including
seedlings and stems).
VCCT(NA,5,10) from FVS program
FVSStand Post Processor using file
x_Veg_Class.txt in columns 71-80
FVS_VARIANT
FVS variant.
??? from FVS program FVSStand Post
Processor using file x_Veg_Class.txt in
columns 311-320
FVS_VERT_STORY
FVS canopy layers/stories
(R1 ruleset, basal area per
size class).
VRT from FVS program FVSStand Post
Processor using file x_Veg_Class.txt in
columns 151-160
DATIM 4.0 User Guide for Registered Users
Appendices-41
Glossary of Terms (revision: 01.2016)
Glossary
Glossary of Terms
2012 Planning Rule
The National Forest Management Act (NFMA) planning rule adopted by the Forest Service in 2012. The new
planning rule guides the development, amendment, and revision of land management plans for all National Forest
System (NFS), including national grasslands. It sets forth processes and content requirements to guide the
development of land management plans (USDA FS 2012b) (http://www.fs.usda.gov/planningrule).
accuracy
The degree to which a measured quantity approaches the true value of what is being measured (Lincoln et al. 1998).
administrator
A user role assigned in DATIM that grants the user the same permissions and accessibilities assigned to the
Registered User, Forest Administrator, and Regional Administrator, as well as additional permissions to assign and
manage the roles of other DATIM users. Also known as the “Super-User”.
analytical
(1) Of or relating to analysis or analytics. (2) Separating into elemental parts or basic principles. (3) Reasoning from
a perception of the parts and interrelations of a subject (Webster 1984).
analysis report (ATIM)
The estimates generated and stored by ATIM for the forest inventory variable selected by the user. The estimates are
based on the sampling design used and the estimation method (which can be modified by the user), and organized
into pages, rows, and columns according to the categories and variables that the user assigns to them. An analysis
report is designed by the ATIM user, and is associated with a single analysis.
annual inventory
The measurement of a proportion of plots in each State every year, prescribed by Congress for FIA in the 1998 Farm
Bill (Bechtold and Patterson 2005).
ArcGIS
The geographic information system (GIS) platform developed by the company ESRI for working with maps and
geographic information.
DATIM 4.0 User Guide for Registered Users
Glossary-1
Glossary of Terms (revision: 01.2016)
Glossary
ArcMap
The main application used in ArcGIS for Desktop for mapping, editing, analysis, and data management. ArcMap is
used for all 2D mapping work and visualization.
ATIM
ATIM (Analysis Tool for Inventory and Monitoring) is a DATIM tool used for creating statistically defensible
analyses and reports. This tool assists users in analyzing forest and vegetation data to derive estimates of current
conditions and trends for an area of interest, such as for answering monitoring questions posed in DTIM.
ATIM analysis
The resource inventory datasets associated with the selected population of interest stored by ATIM, along with the
associated estimation units, data points, and attributes. Also known as a DATIM subset.
attribute
A discrete or continuous variable, usually associated with the classification or measurement of area or vegetation
(Bechtold and Patterson 2005). The variable can be collected in the field or calculated using equations and
algorithms. Examples of field collected attributes include tree diameter, tree height, slope, aspect, county code, and
owner group code. Examples of computed attributes included tree and area expansion factors, and tree volume.
basal area per acre
The cross-sectional area of a single stem, including the bark, measured at breast height (4.5 ft or 1.37 m above the
ground) per acre (adapted from Helms 1998).
biofuels
The fuel component of biomass (adapted from Helms 1998).
biomass
(1) Ecology the total dry organic matter at a given time of living organisms of one or more species per unit area
(species biomass) or of all the species in the community (community biomass). (2) The living or dead weight of
organic matter in a tree, stand, or forest in units such as living or dead weight, wet or dry weight, ash-free weight,
etc. (3) Harvesting the wood product obtained (usually) from in-woods chipping of all or some portion of trees
including limbs, tops, and unmerchantable steps, usually for energy production (Helms 1998).
Citrix
Software that enables organizations to securely access Windows-based line-of-business applications over the
internet with just a web browser. The software makes centrally maintained information and applications easy to
update and retrieve (Anon. 2009). Used in DATIM to provide user access to ArcGIS and the Spatial Intersection
Tool.
DATIM 4.0 User Guide for Registered Users
Glossary-2
Glossary of Terms (revision: 01.2016)
Glossary
classification
(1)The process of grouping similar entities into names types or classes based on shared characteristics. (2) The
grouping of similar types (in this case, vegetation) according to criteria (in this case, physiognomic and floristic) that
are considered significant for this specific purpose. The rules for classification must be clarified before the types are
identified in the classification standard. The classification methods should be clear, precise, quantitative where
possible, and based on objective criteria so that the outcome will be the same no matter who developed the
definition (or description). Classification by definition involves definition of class boundaries (FGDC 1997, citing
UN-EP/FAO 1995).
compilation module (DCS)
A predetermined set of user inputs and processes used to run a compilation to enhance selected DATIM datasets
using FVS and post-processing. Each compilation module in DCS was developed to satisfy region-specific
requirements for augmenting datasets with the additional metrics necessary to conduct analyses and generate reports.
condition
A change in land use or a change in vegetation that occurs along more-or-less distinct boundaries. Reserved status,
owner group, forest type, stand-size class, regeneration status, and stand density are used to define forest conditions
(Woudenberg et al. 2010).
coordinates
In mapping, pairs of numbers that express horizontal distances along orthogonal axes; or, triplets of numbers
measuring horizontal and vertical distances (FGDC 1998).
cycle
One sequential and complete set of panels (Bechtold and Patterson 2005).
cycle (DCS)
A projection cycle is a period of time for which increments of tree characteristics are predicted (Dixon 2002).
cycle length
The period of time required to measure a complete set of panels; synonymous with measurement cycle (Bechtold
and Patterson 2005).
data point
A set of attributes that are collected or calculated according to common protocols that is associated with the plot
center. Commonly referred to as a ‘plot’ or a Primary Sampling Unit (PSU) and refers to the center of the plot and to
the collection of attributes collected across all subplot centers (Brand and Alegria 2011).
DATIM 4.0 User Guide for Registered Users
Glossary-3
Glossary of Terms (revision: 01.2016)
Glossary
dataset
A collection of estimation units and data points that are collectively exhaustive and mutually exclusive (Brand and
Alegria 2011).
DATIM
DATIM (Design and Analysis Tools for Inventory and Monitoring) is a suite of software tools designed by a team of
resource inventory and forest planning specialists from the National Forest System (NFS) and Research &
Development (R&D) of the United States Department of Agriculture (USDA) Forest Service (FS). The application
is intended to improve natural resource inventory and monitoring designs and data analyses by providing nationally
consistent tools to access corporate databases.
DATIM dataset
The collection of data and information used to produce estimates of a given suite of metrics for a population of
interest in ATIM. A DATIM dataset includes a particular set of estimation unit(s), a stratification scheme, and the
collected field data (resource data) for the attributes and timeframe(s) of interest.
DATIM subset
During the creation of an ATIM analysis, the selected DATIM datasets are copied into a DATIM subset and stored
in the DATIM data mart. A DATIM subset represents a snapshot in time and will not change even when data in the
DATIM data mart are revised. DATIM subsets allow the analyst to group DATIM datasets that, when combined,
provide a complete analysis.
DCS
DCS (DATIM Compilation System) is a DATIM tool used by national and regional administrators to load external
data into the DATIM data mart for use in DATIM. Users are able to select datasets from the DATIM data mart, run
the data through the Forest Vegetation Simulator (FVS) to compute additional data fields, such as habitat types and
individual tree biomass, and then store the results in DATIM. The different compiler modules used in DATIM were
designed to meet regionally specific needs.
design-based inventory
An inventory that includes sampling that is random or spatially balanced to ensure an even sample by each stratum
in the population, known and positive probabilities of selection for all sampling units in the population, and
metadata that describe the sampling methods (adapted from Bechtold and Patterson 2005).
DIA (ATIM reports)
The ATIM reporting filter used to indicate the diameter class of measured trees.
DATIM 4.0 User Guide for Registered Users
Glossary-4
Glossary of Terms (revision: 01.2016)
Glossary
diameter at breast height (d.b.h.)
The diameter of a tree stem, located at 4.5 feet above the ground (breast height) on the uphill side of a tree. The
point of diameter measurement may vary on abnormally formed trees (Bechtold and Patterson 2005).
diameter at root collar (d.r.c.)
The diameter of a shrub-like "woodland" tree species, measured outside bark at the ground line or stem root collar
(Bechtold and Patterson 2005).
dominance
The extent to which a given species has a strong influence in a community because of its size, abundance, or
coverage. Strong dominance affects the fitness of associated species (adapted from Lincoln et al. 1998).
double sampling for stratification
A method that uses two random samples, where the second sample is a stratified subsample of the first sample
(Cochran 1977). The first-phase sample is for estimating proportions of the population found in various strata in
order to calculate stratum weights. The second-phase sample is for making observations of random variables in the
sample units (Chojnacky 1998).
down woody material
Dead pieces of wood >3.0 inches in diameter. Down woody material includes downed, dead tree and shrub boles,
large limbs, and other woody pieces that are severed from their original source of growth or are leaning more than
45 degrees from vertical (Bechtold and Patterson 2005).
DTIM
DTIM (Design Tool for Inventory and Monitoring) is a DATIM tool used for designing more efficient monitoring
plans based on user-selected objectives, questions and metrics. If available data are insufficient to obtain statistically
defensible estimates of current conditions and trends, then DTIM helps the user plan for the additional sampling
needed.
DTIM project
The entire set of selections and inputs made using the various tab-based forms in DTIM, along with the resulting
study design generated by DTIM based on the user's selections and inputs. It consists of the monitoring plan's
objectives, questions, and metrics; area information; precision values; number of additional plots to be sampled; and
the cost of the monitoring design.
E-Authentication
USDA e-Authentication account identification consists of a User ID, a password, and a customer profile that enables
one to access a range of USDA applications. It provides the convenience of transacting business with USDA online,
anytime, anywhere (Anon. 2009).
DATIM 4.0 User Guide for Registered Users
Glossary-5
Glossary of Terms (revision: 01.2016)
Glossary
ecosystem
A complete interacting system of organisms and their environment (USDA Forest Service 1991b).
EMC
[acronym] : Ecosystem Management Coordination
ESRI
Environmental Systems Research Institute (http://www.esri.com/), the international supplier of ArcGIS.
estimate (ATIM)
The variable to be estimated in the analysis report.
estimation unit
A defined geographic extent within the area encompassed by a DATIM dataset. The estimation units
(subpopulations) are exhaustive and mutually exclusive within the area encompassed by a DATIM dataset (Brand
and Alegria 2011).
ETL
[acronym] : Extract, Transform, Load. The process by which a resource inventory dataset is extracted, transformed,
and loaded into the DATIM data mart and made available to the user as DATIM datasets.
ETL Project (DCS)
A dataset that has been extracted from an external data source like FIADB, FSVeg, and NIMS and then transformed
and loaded into the DATIM Data Mart.
evaluation
The comparison of dynamic sampling results to management objectives consisting of predetermined standards,
expected norms, threshold values, and/or trigger points (Brohman and Bryant 2005).
FAO
[acronym] : Food and Agriculture Organization of the United Nations
FIA
[acronym] : Forest Inventory and Analysis
DATIM 4.0 User Guide for Registered Users
Glossary-6
Glossary of Terms (revision: 01.2016)
Glossary
FIA Green Book
The short name for the following publication: Bechtold, W.A.; Patterson, P.L., eds. 2005
(http://www.srs.fs.usda.gov/pubs/20371). The enhanced Forest Inventory and Analysis program—national
sampling design and estimation procedures. Gen. Tech. Rep. SRS-80. Asheville, NC: U.S. Department of
Agriculture, Forest Service, Southern Research Station. 85 p.
FIA tree class (ATIM)
The ATIM reporting filter used to indicate the FIA tree class code that describes the general quality of measured
trees.
FIADB
[acronym] : Forest Inventory and Analysis Database (http://www.fia.fs.fed.us/library/database-documentation/)
FIDO
[acronym]: Forest Inventory Data Online
Field Sampled Vegetation (FSVeg)
FSVeg (http://www.fs.fed.us/nrm/fsveg/index.shtml) is the pre-processor tool for FIA data that stores data about
trees, fuels, down woody material, surface cover, and understory vegetation. FSVeg supports the business of the
common stand exam, fuels data collection, permanent grid inventories, and other vegetation inventory collection
processes.
forest administrator
A user role assigned in DATIM that grants the user access to DATIM datasets within a particular Forest Service
Forest. This administrator can create analytical report templates for a Forest for use by all Registered Users, but they
do not have access to actual plot locations and other confidential information.
FHM
[acronym] : Forest Health Monitoring
Forest Vegetation Simulator (FVS)
The forest vegetation simulator growth model used by the USDA Forest Service and other government agencies to
predict forest stand dynamics. Forest managers use FVS to summarize current stand conditions, predict future stand
conditions under various management alternatives, and update inventory statistics (Dixon 2002).
DATIM 4.0 User Guide for Registered Users
Glossary-7
Glossary of Terms (revision: 01.2016)
Glossary
forest, forest land
Forest land has at least 10 percent canopy cover of live tally tree species of any size or has at least 10 percent
canopy cover of live tally species in the past, based on the presence of stumps, snags, or other evidence (Bechtold
and Patterson 2005).
FS
Forest Service [United States Department of Agriculture]
FSVeg
Field Sampled Vegetation
fuzzed
A technique applied to FIA annual plot coordinates to make it difficult to locate the plot on the ground while
maintaining a good correlation between the plot data and map-based coordinates. All annual plot coordinates are
fuzzed within 0.5 for most plots and up to 1.0 mile on a small subset of them (USDA FS 2011).
FVS
[acronym] : Forest Vegetation Simulator (http://www.fs.fed.us/fmsc/fvs/)
FVSStand Alone
An advance forest planning post-processor used to produce standard stand and stock tables (Vandendriesche 2014).
geographic area of interest
A user-defined area, selected either spatially using the SIT or by the tabular selection of available resource inventory
datasets (DATIM datasets) stored in the DATIM data mart (ESRI 2014).
geographic information system (GIS)
A geographic information system (GIS) integrates hardware, software, and data for capturing, managing, analyzing,
and displaying all forms of geographically referenced information (ESRI, 2014).
geospatial data
Information that identifies the geographic location and characteristics of natural or constructed features and
boundaries on the earth, often derived from remote sensing, mapping, and surveying technologies (Anon. 2009).
DATIM 4.0 User Guide for Registered Users
Glossary-8
Glossary of Terms (revision: 01.2016)
Glossary
Geospatial Interface
The Geospatial Interface (GI) (http://fsweb.nris.fs.fed.us/products/Geospatial_Interface/index.shtml) is an ArcMap
extension that helps resource specialists work efficiently with data. It provides tools that simplify loading data while
giving access to custom Forest Service products for display, analysis and output of data. You can think of the GI as a
lens that gives users access to the full suite of corporate data.
GI
[acronym] : Geospatial Interface
GIS
[acronym] : Geographic Information System
GIS Specialist
A user roles assigned in DATIM that grants the user permissions to create and save analytical report designs and
output, plus view and work with standard ATIM reports, but does not have access to confidential information (actual
plot coordinates and private ownership information). This user has the added ability to add and delete SIT attributes
in ATIM and has full access to DTIM.
grid
(1) A set of grid cells forming a regular, or nearly regular, tessellation of a surface. (2) Set of points arrayed in a
pattern that forms a regular, or nearly regular, tessellation of a surface. The tessellation is regular if formed by
repeating the pattern of a regular polygon, such as a square, equilateral triangle, or regular hexagon. The tessellation
is nearly regular if formed by repeating the pattern of an “almost” regular polygon such as a rectangle, nonsquareparallelogram, or nonequilateral triangle (FGDC 1998).
Guest User
A user role assigned in DATIM that grants the user permissions to open publically accessible ATIM analyses, run
standard analysis reports, and create and view custom analysis reports. In DTIM, this user can define a project, open
a publically accessible project, and view, print, and locally save project reports. This user has the most limited
access of all the users.
indicator
A biotic or abiotic feature measured for a forest (Bechtold and Patterson 2005).
interface
computers A hardware and software link that connects two computer systems, or a computer and its peripherals, for
data communication (Helms 1998).
DATIM 4.0 User Guide for Registered Users
Glossary-9
Glossary of Terms (revision: 01.2016)
Glossary
inventory
The systematic acquisition, analysis, and organization of resource information needed for planning and
implementing land management (adapted from USDA NRCS 1997).
KCP
[acronym] : Keyword Component File
keyword component file (KCP file)
Keyword component (KCP) files are "addfiles" containing sets of FVS keywords used to perform complicated
interactions with the FVS models, and which perform actions not currently included in the FVS models.
layer (GIS)
A digital information storage unit, also known as a theme. Different kinds of information such as roads, boundaries,
lakes, and vegetation, can be grouped and stored as separate digital layers or themes in a GIS (Anon. 2009).
map
(1) A spatial representation, usually graphic on a flat surface, of spatial phenomena (FGDC 1998). (2) A
representation, usually on a plane surface, of a region of the Earth or heavens (Robinson et al. 1978).
map scale
The extent of reduction required to display a portion of the Earth’s surface on a map; defined as a ratio of distances
between corresponding points on the map and on the ground (Robinson et al. 1978). Scale indirectly determines the
information content and size of the area being represented. The mapping scale is determined by the agency’s
business needs and the characteristics of the data obtained for the project area. Maps generated from digital imagery
can appropriately be displayed at a range of scales (Brohman and Bryant 2005).
metadata
Refers to "data about data"; describes the content, quality, condition, and other characteristics of a given set of data.
Its purpose is to provide information about a dataset or some larger data holdings to data catalogues, clearinghouses,
and users. Metadata is intended to provide a capability for organizing and maintaining an institution’s investment in
data to provide information for the application and interpretation of data received through a transfer from an external
source (Jennings et al. 2004, as modified from FGDC 1997).
module (DCS)
See compilation module (DCS).
DATIM 4.0 User Guide for Registered Users
Glossary-10
Glossary of Terms (revision: 01.2016)
Glossary
module (DTIM)
A predetermined set of available resource inventory monitoring objectives and associated questions and metrics
presented to the user for selection in DTIM for a specific use, such as a Forest Plan Revision.
monitoring
(1) The systematic collection, analysis, and interpretation of resource data to evaluate progress toward meeting
management objectives (adapted from SRM 1989). (2) The collection and analysis of resource data to measure
changes in the amounts, spatial distribution, or condition of resource types or parameters over time (Brohman and
Bryant 2005).
Monitoring and Evaluation Frame work (MEF)
The Monitoring and Evaluation Framework (MEF) (http://www.fs.fed.us/emc/met/) was established by the National
Forest System (NFS) to help Forest Service planners meet monitoring requirements. The framework focuses on the
need to monitor progress toward desired conditions of key resources (biological diversity; land health and vitality;
soil, water and air; social benefits; economic benefits; and infrastructure capacity) (USDA FS 2014d).
NFMA
[acronym] : National Forest Management Act
Natural Resource Manager (NRM)
A system of database tools for managing Agency data across the Forest Service. Natural Resource Manager
(http://www.fs.fed.us/nrm/) includes: Forest Service Activity Tracking System (FACTS), Infrastructure (Infra),
Natural Information System (NRIS), and Timber Information Manager (TIM) applications. NRM applications
provide tools for most of the agency's natural resource business areas.
NIMS
[acronym] : National Information Management System
NFS
[acronym] : National Forest System
owner
The owner class that best corresponds to the ownership (or the managing agency for public lands) of the land in the
condition class (USDA FS 2014b).
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owner group
The FIA owner group identifying the ownership (or the managing agency for public lands) of the land in the
condition class (USDA FS 2014b).
page
A page is a display area containing dropdown menus, text boxes, checkboxes, buttons, hyperlinks, tooltips, tables,
status indicators, and/or descriptive text.
panel
A sample in which the same elements are measured on two or more occasions. FIA divides plots into five panels that
can be used to independently sample the population (Bechtold and Patterson 2005).
periodic survey
A noncontinuous inventory system. A survey strategy whereby a set of inventory panels is measured simultaneously
over a short time frame, often 1 to 3 years in the case of FIA, and there is a time lag, often many years, before the
panels are remeasured (Bechtold and Patterson 2005).
phase 1 (P1)
FIA activities related to remote-sensing, the primary purpose of which is to obtain strata weights for population
estimates (Bechtold and Patterson 2005).
phase 2 (P2)
FIA activities conducted on the network of ground plots. The primary purpose is to obtain field data that enable
classification and summarization of area, tree, and other attributes associated with forest land uses (Bechtold and
Patterson 2005).
phase 3 (P3)
A subset of Phase 2 plots where additional attributes related to forest health are measured (Bechtold and Patterson
2005).
plot
A cluster of 4 points arranged such that point 1 is central, with points 2, 3, and 4 located 120 feet from point 1 at
azimuths of 360, 120, and 240 degrees, respectively. Each point includes a microplot, a subplot, and an optional
macroplot (Bechtold and Patterson 2005).
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population
A basic building block of land area for which the number of plots and the land area being sampled are known. In
FIA, this is typically the county, but some counties may be grouped into super-counties due to small numbers of
forested plots or to mask a large landowner (Bechtold and Patterson 2005).
post-processor
A post-processor is a program that reads FVS output files and produces further reports such as stand and stock
tables, elk hiding cover, and various other metrics (Dixon 2002).
post-stratification sampling
A method where stratification is delineated after selection of the sample. This method is useful when the stratum to
which a unit belongs is not known until the data have been collected (Cochran 1977).
PRC
Page/Row/Column
registered user
A user role assigned in DATIM that grants the user permissions to create and save analytical report designs and
output, plus view and work with standard ATIM reports, but does not have access to confidential information (actual
plot coordinates and private ownership information). This user has limited access to ATIM, and full access to
DTIM.
regional administrator
A user role assigned in DATIM that grants the user access to all DATIM datasets and projects for their Forest
Service Region, including confidential information. This "Super User" has access to actual plot coordinates and can
edit any of the regional data in the DATIM data mart. He/she has the ability to create analytical report templates to
limit how the regional data are analyzed and viewed by other DATIM users. Additional permissions include the
ability to compile and load inventory information to the Data Center, define and populate new attributes, edit and
create metadata associated with those attributes, and create DATIM datasets.
remeasurement cycle
The number of years required to sample a set of panels to complete an inventory.
resource data
A collection of field samples from one or more inventories that span a DATIM dataset area and share a set of
attributes collected according to consistent protocols during a desired time period. The field samples come from a
probabilistic design-based inventory. The spatial coordinates for the field data could be either the center of the
primary sampling unit (plot center) or the secondary sampling units (subplot center for example).
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R&D
[acronym] : Research & Development
RMRS
[acronym] : Rocky Mountain Research Station
sample list
A set of field sample locations determined by the original sample design including any defined subsets, such as
annual panels or intensifications. The field samples are selected according to a sample method (i.e., simple random
sampling, stratified random sample, and double sampling for stratification) and cover a defined geographical region.
There is a set for each inventory which can be composed of subsets due to subsampling of whole plots.
sampling unit
The basic unit of selection and observation. All FIA units use the center point of the 4-point cluster of subplots as
the primary sampling unit (Bechtold and Patterson 2005).
simple random sampling
A method of selecting n units out of the N such that every one of the samples has an equal chance of being chosen
(Bechtold and Patterson 2005).
SIT
[acronym] : Spatial Intersection Tool, a DATIM tool used to perform spatial intersections between plot-based data
and user-selected geospatial layers, with the results of those intersections stored in DATIM for analysis in ATIM to
refine analyses and reports. SIT is used to access geographic information systems with the spatial data located
locally and remotely on intranets/internet. This tool includes enhanced spatial querying and reporting capabilities
using ESRI’s ArcGIS software and other data visualizing and data mining techniques.
spatial data
Data that record the geographic location and shape of geographic features and their spatial relationships to other
features (USDA Forest Service 2004).
species
In biological classification, the category below genus and above the level of subspecies and variety; the basic unit of
biological classification (adapted from Lincoln et al. 1998).
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standard report (ATIM)
A report template that users can run against any compatible analysis. Some standard reports were preloaded in
ATIM, while others are designed by administrative users and saved as standard report templates.
status (ATIM)
The ATIM reporting filter used to indicate the FIA tree status code assigned to the measured trees.
strata
Non-overlapping subdivisions of the population such that each primary sampling unit is assigned to one and only
one subdivision (or stratum). The relative sizes of these strata are used to compute strata weights (Bechtold and
Patterson 2005).
stratification
A statistical tool used to reduce the variance of the attributes of interest by partitioning the population into
homogenous strata. It may also involve partitioning a highly variable but small portion of the population (Bechtold
and Patterson 2005).
stratification scheme
A means of classification of the sample area into sub-populations (strata) often to produce homogeneous areas of a
key attribute to improve the precision of estimates drawn for the area. A stratification scheme must: (1) Be uniquely
defined within an Estimation Unit but may be defined differently across Estimation Units; (2) Define strata to be
exhaustive and mutually exclusive within Estimation Units. This implies that strata are also exhaustive and mutually
exclusive across the data set area; (3) Contain strata that have samples drawn by one and only one of the currently
supported sampling methods: simple random sampling, stratified random sampling, double sampling for
stratification, or post-stratification. Currently supported stratification schemes include none (simple random
sampling), wall-to-wall (stratified random sampling or post-stratification), and first-phase sample to estimate strata
sizes (double sampling for stratification); (4) Contain strata with samples drawn with equal probability of selection
within a stratum. This restriction is due to the current version of ATIM and may be loosened in future versions; and,
(5) Contain a description of each stratum and a link to the spatial layer of the strata.
stratified sampling
A method where the population of N units is first divided into subpopulations (strata) that are nonoverlapping and
together comprise the whole population (Cochran 1977).
stratum
In general, one of a series of layers, levels, or gradations in an ordered system. In the natural environment, the term
is used in the sense of (1) a region of sea, atmosphere, or geology that is distinguished by natural or arbitrary limits,
or (2) a layer of vegetation, usually of the same or similar height (adapted from FGDC 1998).
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subplot center
The Secondary Sampling Unit (SSU) within a Primary Sampling Unit. The coordinates of the SSU and the
collection of attributes associated with the data point (Brand and Alegria 2011).
task (DATIM)
A set of selections and inputs that the user performs in DATIM to create projects, analyses, reports, and other
outputs.
timberland
Forest land that is capable of producing at least 20 cubic feet per acre per year at culmination in fully stocked,
natural stands (1.4 cubic meters per hectare per year) of continuous crops of trees to industrial roundwood size and
quality (Woudenberg et al. 2010).
trees
Woody plants that generally have a single main stem and have more or less definite crowns. In instances where life
form cannot be determined, woody plants at least 5 meters in height are considered trees (FGDC 1997).
USDA
[acronym] : United States Department of Agriculture
variant (DCS)
When equations, such as those for tree growth, mortality, and volume, are developed for a specific geographic area
and imbedded in the FVS framework, the resulting model is called a geographic variant of FVS (Dixon 2002).
vegetation
The total plant life or cover in an area; also used as a general term for plant life; the assemblage of plant species in a
given area; cf. faunation (Lincoln et al. 1998).
window
A user interface that pops up in front of a DATIM page.
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