20241206
09232600
1.0
FALSE
RepairGeometry "Poorly/Imperfectly Drained Soils (Probable/Possible Development Restrictions)" DELETE_NULL Esri
CopyFeatures "Imperfect-Poorly Drained" "C:\Users\mrmacmillan\Documents\AFGIS\Pro Docs\Forestry Web Map\Forestry Web Map.gdb\Imperfect_Poorly_Drained" # # # #
RepairGeometry "C:\Users\mrmacmillan\Documents\AFGIS\Pro Docs\Forestry Web Map\Forestry Web Map.gdb\Imperfect_Poorly_Drained" DELETE_NULL Esri
Merge 'Imperfect-Poorly Drained';Soil_Organic "C:\Users\mrmacmillan\Documents\AFGIS\Pro Docs\Environment Web Map\Environment Web Map.gdb\Soil_Organic_Imperfect_Poorly_Drained" "MAPUNITNOM "MAPUNITNOM" true true false 20 Text 0 0,First,#,Imperfect-Poorly Drained,MAPUNITNOM,0,20,Soil_Organic,MAPUNITNOM,0,20;FKEY "FKEY" true true false 12 Text 0 0,First,#,Imperfect-Poorly Drained,FKEY,0,12,Soil_Organic,FKEY,0,12;ID "ID" true true false 8 Double 0 0,First,#,Imperfect-Poorly Drained,ID,-1,-1,Soil_Organic,ID,-1,-1;SOIL_ID "SOIL_ID" true true false 8 Double 0 0,First,#,Imperfect-Poorly Drained,SOIL_ID,-1,-1,Soil_Organic,SOIL_ID,-1,-1;SOIL_CODE1 "SOIL_CODE1" true true false 3 Text 0 0,First,#,Imperfect-Poorly Drained,SOIL_CODE1,0,3,Soil_Organic,SOIL_CODE1,0,3;MODIFIER1 "MODIFIER1" true true false 3 Text 0 0,First,#,Imperfect-Poorly Drained,MODIFIER1,0,3,Soil_Organic,MODIFIER1,0,3;EXTENT1 "EXTENT1" true true false 3 Text 0 0,First,#,Imperfect-Poorly Drained,EXTENT1,0,3,Soil_Organic,EXTENT1,0,3;SOIL_CODE2 "SOIL_CODE2" true true false 3 Text 0 0,First,#,Imperfect-Poorly Drained,SOIL_CODE2,0,3,Soil_Organic,SOIL_CODE2,0,3;MODIFIER2 "MODIFIER2" true true false 3 Text 0 0,First,#,Imperfect-Poorly Drained,MODIFIER2,0,3,Soil_Organic,MODIFIER2,0,3;EXTENT2 "EXTENT2" true true false 2 Text 0 0,First,#,Imperfect-Poorly Drained,EXTENT2,0,2,Soil_Organic,EXTENT2,0,2;SOIL_CODE3 "SOIL_CODE3" true true false 4 Text 0 0,First,#,Imperfect-Poorly Drained,SOIL_CODE3,0,4,Soil_Organic,SOIL_CODE3,0,4;MODIFIER3 "MODIFIER3" true true false 3 Text 0 0,First,#,Imperfect-Poorly Drained,MODIFIER3,0,3,Soil_Organic,MODIFIER3,0,3;EXTENT3 "EXTENT3" true true false 2 Text 0 0,First,#,Imperfect-Poorly Drained,EXTENT3,0,2,Soil_Organic,EXTENT3,0,2;SLOPEP1 "SLOPEP1" true true false 5 Text 0 0,First,#,Imperfect-Poorly Drained,SLOPEP1,0,5,Soil_Organic,SLOPEP1,0,5;SLOPEP2 "SLOPEP2" true true false 5 Text 0 0,First,#,Imperfect-Poorly Drained,SLOPEP2,0,5,Soil_Organic,SLOPEP2,0,5;SLOPEP3 "SLOPEP3" true true false 5 Text 0 0,First,#,Imperfect-Poorly Drained,SLOPEP3,0,5,Soil_Organic,SLOPEP3,0,5;STONE1 "STONE1" true true false 1 Text 0 0,First,#,Imperfect-Poorly Drained,STONE1,0,1,Soil_Organic,STONE1,0,1;STONE2 "STONE2" true true false 1 Text 0 0,First,#,Imperfect-Poorly Drained,STONE2,0,1,Soil_Organic,STONE2,0,1;STONE3 "STONE3" true true false 1 Text 0 0,First,#,Imperfect-Poorly Drained,STONE3,0,1,Soil_Organic,STONE3,0,1;DATE "DATE" true true false 8 Text 0 0,First,#,Imperfect-Poorly Drained,DATE,0,8,Soil_Organic,DATE,0,8;AREA "AREA" true true false 8 Double 0 0,First,#,Imperfect-Poorly Drained,AREA,-1,-1,Soil_Organic,AREA,-1,-1;PERIMETER "PERIMETER" true true false 8 Double 0 0,First,#,Imperfect-Poorly Drained,PERIMETER,-1,-1,Soil_Organic,PERIMETER,-1,-1;SOILCLASS "SOILCLASS" true true false 2 Text 0 0,First,#,Imperfect-Poorly Drained,SOILCLASS,0,2,Soil_Organic,SOILCLASS,0,2;DRAINGROUP "DRAINGROUP" true true false 10 Text 0 0,First,#,Imperfect-Poorly Drained,DRAINGROUP,0,10,Soil_Organic,DRAINGROUP,0,10;_OBJECT "_OBJECT" true true false 25 Text 0 0,First,#,Imperfect-Poorly Drained,_OBJECT,0,25,Soil_Organic,_OBJECT,0,25;DRAINTYPE "DRAINTYPE" true true false 10 Text 0 0,First,#,Imperfect-Poorly Drained,DRAINTYPE,0,10,Soil_Organic,DRAINTYPE,0,10;CLASS "CLASS" true true false 3 Text 0 0,First,#,Imperfect-Poorly Drained,CLASS,0,3,Soil_Organic,CLASS,0,3;UNIT "UNIT" true true false 5 Text 0 0,First,#,Imperfect-Poorly Drained,UNIT,0,5,Soil_Organic,UNIT,0,5" NO_SOURCE_INFO
Soil_Organic_Imperfect_Poorly_Drained
002
file://\\PEL71777\C$\Users\mrmacmillan\Documents\AFGIS\Pro Docs\Environment Web Map\Environment Web Map.gdb
Local Area Network
Projected
GCS_North_American_1983_CSRS
Linear Unit: Meter (1.000000)
NAD_1983_CSRS_Prince_Edward_Island
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.0.0'><WKT>PROJCS["NAD_1983_CSRS_Prince_Edward_Island",GEOGCS["GCS_North_American_1983_CSRS",DATUM["D_North_American_1983_CSRS",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Double_Stereographic"],PARAMETER["False_Easting",400000.0],PARAMETER["False_Northing",800000.0],PARAMETER["Central_Meridian",-63.0],PARAMETER["Scale_Factor",0.999912],PARAMETER["Latitude_Of_Origin",47.25],UNIT["Meter",1.0],AUTHORITY["EPSG",2954]]</WKT><XOrigin>-30310600</XOrigin><YOrigin>-29959100</YOrigin><XYScale>10000</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>2291</WKID><LatestWKID>2954</LatestWKID></ProjectedCoordinateSystem>
20260127
14381600
20260127
14381600
Microsoft Windows 10 Version 10.0 (Build 19045) ; Esri ArcGIS 13.0.3.36057
Imperfect_PoorlyDrained_Organic
ENV
IWMA
Imperfect-Poorly Drained-Organic soil layer for Environment app.
File Geodatabase Feature Class
dataset
EPSG
6.2(9.3.0.0)
0
Simple
FALSE
0
TRUE
FALSE
Soil_Organic_Imperfect_Poorly_Drained
Feature Class
0
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
MAPUNITNOM
MAPUNITNOM
String
20
0
0
FKEY
FKEY
String
12
0
0
ID
ID
Double
8
0
0
SOIL_ID
SOIL_ID
Double
8
0
0
SOIL_CODE1
SOIL_CODE1
String
3
0
0
MODIFIER1
MODIFIER1
String
3
0
0
EXTENT1
EXTENT1
String
3
0
0
SOIL_CODE2
SOIL_CODE2
String
3
0
0
MODIFIER2
MODIFIER2
String
3
0
0
EXTENT2
EXTENT2
String
2
0
0
SOIL_CODE3
SOIL_CODE3
String
4
0
0
MODIFIER3
MODIFIER3
String
3
0
0
EXTENT3
EXTENT3
String
2
0
0
SLOPEP1
SLOPEP1
String
5
0
0
SLOPEP2
SLOPEP2
String
5
0
0
SLOPEP3
SLOPEP3
String
5
0
0
STONE1
STONE1
String
1
0
0
STONE2
STONE2
String
1
0
0
STONE3
STONE3
String
1
0
0
DATE
DATE
String
8
0
0
AREA
AREA
Double
8
0
0
PERIMETER
PERIMETER
Double
8
0
0
SOILCLASS
SOILCLASS
String
2
0
0
DRAINGROUP
DRAINGROUP
String
10
0
0
_OBJECT
_OBJECT
String
25
0
0
DRAINTYPE
DRAINTYPE
String
10
0
0
CLASS
CLASS
String
3
0
0
UNIT
UNIT
String
5
0
0
Shape_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Shape_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20260127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