Forest Stewardship Spatial Analysis Project
Wisconsin Methodology
Appendix A
Appendix A:
Table Acreage Statistic Calculation Steps
Updated: 5/1/2008, for 2007 updates
Map 1 Table
1. Using ArcToolbox, Tabulate areas using:
Input feature zone data = Fullmodel_rcl, zone field Value
Input raster or feature class data = Frcov_rcl*, class field Value (this gets area
values based on where the fullmodel_rcl data lies relative to forested land.)
*How to Create frcov_rcl (forested lands) if not already created:
1. Using Arctoolbox Spatial Analyst Tools/Extraction/Extract by
Attributes to extract forested lands from Wiscland land cover
(dvgislib/wi_tile/wlc_grd/wlcgw930) to create frcov.
(Query: (Value > 160 and value < 188) or (Value > 216 and Value < 235))
2. reclassify frcov so that all values are 1, to create temp grid
3. use GRIDinsert to put frcov into wisppoly (Wisconsin state boundary
polygon)
GRIDINSERT temp grid z_wis_bnd temp Update
4. Use ArcToolbox Extract by Attributes tool to extract from fullmodel_rcl where
Value <> 0 and save that file out as a temporary grid.
5. Using the raster calculator, Evaluate the temp grid using AnalysisMask as the
Analysis Mask (Spatial Analyst Options/General tab).
6. make the calculation permanent by right clicking on it, and choosing make
permanent to create frcov_rcl
Output tabulate areas table Fullmodel_fr_vs_nonFR.dbf
Cell size = 30.
2. Add fields to spreadsheet called Acres_0 (acres of non-forested) and Acres_1 (acres
of forested). Calculate these to convert sq meters value fields
(Value_0 and
Value_1) to acres... (Value*.0002471044)
3. Add the Acres_1 values to the Forest/Acres column of the final table
And
add the Acres_0 values to the Non-Forest acres column
Forest
% of Total
Acres
Forest
3,368,527
5,691,309
2,278,055
11,337,891
Non-forest
% of Total
Acres
Non-Forest
922,218
4,382,644
7,288,344
12,593,206
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Statistic Calculation Steps_2007_f.doc
WI SAP Methodology – Appendix A
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03/31/2009
Forest Stewardship Spatial Analysis Project
Wisconsin Methodology
Appendix A
NOTE: the reason the Non-forest row’s total does not match the total acres in the Acres
Capable of Stewardship column of the table on Map 6 (Non-forested-non-developed stew
potential) is that the NFND process was run using PrivateForest, the analysis theme
developed during the SAP where patches smaller than 10 acres were removed.
4. Add 2 percentage fields for PercentFR and PercentNonFR
For each model output value (1, 2, or 3), get the percentage of total forested
land:
1. Formula 1: <Acres_1, value 1> / (Sum of 1, 2, & 3 values in Acres_1 field [total
forested])
2. Formula 2: <Acres_1, value 2> / (Sum of 1, 2, & 3 values in Acres_1 field [total
forested])
3. Formula 3: <Acres_1, value 3> / (Sum of 1, 2, & 3 values in Acres_1 field [total
forested])
5. Then get the percentage of total NON forested lands for each (Acres_0 field)
4. Formula 1: <Acres_0, value 1> / (Sum of 1, 2, & 3 values in Acres_0 field [total
non-forested stew capable lands])
5. Formula 2: <Acres_0, value 2> / (Sum of 1, 2, & 3 values in Acres_0 field [total
non- forested stew capable lands])
6. Formula 3: <Acres_0, value 3> / (Sum of 1, 2, & 3 values in Acres_0 field [total
non- forested stew capable lands])
6. Add the percentages for the Acres_1 values into the Forest/% column
And add the percentages for the Acres_0 values into the non-forest/% column.
Non-forest
% of Total
Acres
Non-Forest
922,218
7%
4,382,644
35%
7,288,344
58%
12,593,206
100%
Forest
% of Total
Acres
Forest
3,368,527
30%
5,691,309
50%
2,278,055
20%
11,337,891
100%
Map 2 Table
1. Extract by Mask tool, set Stewlands as input and Analysis Mask as the analysis
mask.
2. To reduce noise in the analysis, use the Shift tool to shift the output to match
Fullmodel_rcl (x value = 11 and y value = 8) to create Stewshift
3. Use the Tabulate Areas tool, where Stewshift is the feature zone data and
FullModel_rcl is the input feature class data to create FullModel_Stewlands.dbf,
cell size = 30
4. Add Acres_0, Acres_1, Acres_2, Acres_3 fields to FullModel_Stewlands.dbf to
convert corresponding sq meters Value fields to acres. (Value*.0002471044)
5. Add acreage values from the “1” row of FullModel_Stewlands.dbf to final table’s
“Stewardship plan Acres” row:
Stewardship
Plan Acres
733,486
1,381,825
651,825
2,766,535
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Statistic Calculation Steps_2007_f.doc
WI SAP Methodology – Appendix A
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Forest Stewardship Spatial Analysis Project
Wisconsin Methodology
Appendix A
6. Add the sum of the values from the “0” and “1” rows to each column of the “Acres
Capable of Stewardship” row of the final table:
Acres capable
of Stewardship
9,566,399
10,073,953
4,290,745
23,931,097
7. To get percentage existing stewlands of potential stewland, in final table, divide
stewardship plan acres by acres capable of stewardship.
Stewardship Plans vs. Acres
Capable of Stewardship (%)
8%
14%
15%
12%
Map 3 Table
1. Using the Raster calculator, Evaluate Stewlands using AnalysisMask as the
analysis mask.
8. to reduce noise in the analysis, shift the output to match Fullmodel_rcl (x value =
11 and y value = 8) to create Stewshift
9. Create private forest mask layer by using Extract by Attributes to extract Value =
1 from PrivForest to create PRIV_Mask
10. Using raster calculator, evaluate Stewshift using PRIV_Mask as the analysis
mask to create PRIV_Stew
11. Using raster calculator, evaluate PRIV _Stew using FullModel_rcl as the analysis
mask to create PRIV
12. Use ArcToolbox to Tabulate Areas where PRIV is the feature zone data and
FullModel_rcl is the input feature class data to create PrivFor_Stewlands.dbf,
cell size = 30
13. Add Acres_0, Acres_1, Acres_2, Acres_3 fields to PrivFor_Stewlands.dbf to
convert corresponding sq meters Value fields to acres... (Value*.0002471044)
14. Add acreage values from the “1” row of PrivFor_Stewlands.dbf to final table’s
“Stewardship plan Acres” row:
Stewardship
Plan Acres
412,393
1,495,550
761,427
2,669,370
15. Add the sum of the values from the “0” and “1” rows to each column of the “Acres
Capable of Stewardship” row of the final table:
Acres capable
of Stewardship
1,929,688
5,559,429
3,420,024
10,909,141
16. To get percentage existing stewlands of potential stewland, in final table, divide
stewardship plan acres by acres capable of stewardship.
Stewardship Plan acres as a
percent of acres of private
forests
21%
27%
22%
24%
Map 6 Table
1. Using the Raster calculator, Evaluate Stewlands using AnalysisMask as the
analysis mask.
2. to reduce noise in the analysis, shift the output to match Fullmodel_rcl (x value =
11 and y value = 8) to create Stewshift
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Statistic Calculation Steps_2007_f.doc
WI SAP Methodology – Appendix A
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Forest Stewardship Spatial Analysis Project
Wisconsin Methodology
Appendix A
3. Create nfnd mask layer by using Extract by Attributes to extract Value = 0 from
PrivForest to create NFND_Mask
4. Using raster calculator, evaluate Stewshift using NFND_Mask as the analysis
mask to create NFND_Stew
5. Using raster calculator, evaluate NFND_Stew using FullModel_rcl as the analysis
mask to create NFND
6. Use ArcToolbox to Tabulate Areas where NFND is the feature zone data and
FullModel_rcl is the input feature class data to create NFND_Stewlands.dbf, cell
size = 30
7. Add Acres_0, Acres_1, Acres_2, Acres_3 fields to NFND_Stewlands.dbf to
convert corresponding sq meters Value fields to acres... (Value*.0002471044)
8. Add acreage values from the “1” row of NFND_Stewlands.dbf to final table’s
“Stewardship plan Acres” row:
Stewardship
Plan Acres
525,023
384,618
83,373
993,014
9. Add the sum of the values from the “0” and “1” rows to each column of the “Acres
Capable of Stewardship” row of the final table:
Acres capable
7,636,687
4,514,721
870,549
13,021,957
of Stewardship
NOTE: the reason this row’s total does not match the total acres in the Non-Forest column
of the table on Map 1 is that this process was run using PrivateForest, the analysis theme
developed during the SAP where patches smaller than 10 acres were removed.
10. To get percentage existing stewlands of potential stewland, in final table, divide
stewardship plan acres by acres capable of stewardship.
Stewardship Plan acres as a
percent of acres of nonforest-non-developed lands
7%
9%
10%
8%
Map 7 Table
1. Extract by Mask tool, set Industrial as input and Analysis Mask as the analysis
mask.
2. To reduce noise in the analysis, use the Shift tool to shift the output to match
Fullmodel_rcl (x value = 11 and y value = 8) to create Ind_shift
3. Use the Tabulate Areas tool, where Stew_ind_shift is the feature zone data and
FullModel_rcl is the input feature class data to create FullModel_Ind.dbf, cell
size = 30
4. Add Acres_0, Acres_1, Acres_2, Acres_3 fields to FullModel_Ind.dbf to convert
corresponding sq meters Value fields to acres. (Value*.0002471044)
5. Add acreage values from the “1” row of FullModel_Ind.dbf to final table’s
“Stewardship plan Acres” row:
6. Add acreage values from the “1” row of FullModel_Ind.dbf to final table’s
“Industrial Acres” row:
Industrial Acres
157,135
400,694
160,841
730,035
7. Remaining rows are the same as Map 2 Table.
C:\Documents and Settings\tmreynolds\My Documents\sap_webroot\na\sap\products\WI\APPENDIX_A-Table Acreage
Statistic Calculation Steps_2007_f.doc
WI SAP Methodology – Appendix A
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