How does GIS work? Data storage The ArcGIS Interface 1-1 Copyright © 2006 by Maribeth H. Price Vector model Polygon Vertices Points Line Nodes Y Features are stored as a series of x-y coordinates in a rectangular coordinate system. Many different coordinate systems may be used. X 1-2 Copyright © 2006 by Maribeth H. Price Features linked to data Each feature is linked to an entry in a data table containing information about the feature. 1-3 Copyright © 2006 by Maribeth H. Price Advantages of vectors • • • • • Precise location of features Storing many attributes Flexible for cartography Compact storage of information Ideally suited for certain types of analysis, especially areas, lengths, connections 1-4 Copyright © 2006 by Maribeth H. Price The raster data model X, Y location X, Y location Columns Rows Raster data file N rows by M columns Georeferenced to earth’s surface 1-5 Copyright © 2006 by Maribeth H. Price GIS data models Vector model Raster model 1-6 Copyright © 2006 by Maribeth H. Price Digital Raster Graphic Converting Vector to Raster Data is Easy Converting Raster Data to Vector is Hard Impossible Types of raster data Discrete raster: land use Discrete raster: roads Continuous raster: DEM Continuous raster: image 1-10 Copyright © 2006 by Maribeth H. Price Some Common Image Formats • JPG – Used for most digital photos but “lossy.” • GIF – Best for line drawings. 256 colors maximum. No loss • TIF – Standard in many technical applications. No loss • PNG – Lossless image format • RAW – Data as captured by digital camera Continuous data • Raster is the best way to store continuously changing values such as elevation • Analysis faster and more flexible than vectors for many applications • Some analysis only possible using rasters 1-12 Copyright © 2006 by Maribeth H. Price Raster analysis functions Distance Interpolation Density Least cost path Viewshed Buffers Copyright © 2006 by Maribeth H. Price 1-13 Impact of resolution 90m resolution 10m resolution • Storage space increases by the square of the resolution • Portraying large areas at high precision is problematic 1-14 Copyright © 2006 by Maribeth H. Price Storage of attributes Raster contains 1 value indicating a single attribute— road type for example • Roads may have other attributes: ownership, speed limit, number of lanes, etc. • Would need a new raster for each attribute • Only numeric attributes may be stored 1-15 Copyright © 2006 by Maribeth H. Price The raster data model X, Y location X, Y location Columns Rows Raster data file N rows by M columns Georeferenced to earth’s surface 1-16 Copyright © 2006 by Maribeth H. Price 1-17 Copyright © 2006 by Maribeth H. Price ModelBuilder • • • • Create models built from sequences of tools Store processing steps for later reference Execute models repeatedly with different inputs Share models with others 1-18 Copyright © 2006 by Maribeth H. Price Extract spot elevations every 50’ for 11 input datasets bh_c.shp Discard out-of-boundary spot elevations WS0607-outlet 4model.shp Document Location of Known Outlets Contour2point_clip.shp Export to delimited text Input01.txt Final Spot Elevations In x,y,c Format Final Spot Elevations Boundary Of Area To Be Modeled WS0607Culvert.shp Thinned And Combined Township Spot Elevations “Thinned” Elevation Data Township 2-Foot Contours WS0607Boundary.shp Contour2point_bhc.shp Contour2point_all.shp Merge 11 datasets Hydrologic modeling furnished by Door County Soil and Water Conservation Department Moonlight Bay Basin.shp Flow path.shp Calculated Flow Paths Dataset Analytical Operation/ GeoprocessingTool Copyright © 2006 by Maribeth H. Price * aka “Hidden Brook Subwatershed” Hwy 57 Basin.shp Mud Lake Basins.shp South Outlet* Basin.shp Calculated Subwatershed Boundaries THE RIDGES SANCTUARY WATERSHED STUDY - 2006-2007 1-19 Geospatial Analysis - Summary Flow Diagram Revision Date: 10 September, 2007 By: Mike Stiefvater