20231102
17295400
1.0
FALSE
FAFBProposedFocusArea
002
0.000
file://\\ecygisfiles\gis\Programs\TCP\STAFF\Hugo_Froyland\Projects\26022_WestPlainsWebmap_ErikaBeresovoy\Default.gdb
Local Area Network
Geographic
GCS_WGS_1984
Angular Unit: Degree (0.017453)
<GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' 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/3.3.0'><WKT>GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4326]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>1111948722.2222221</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem>
ExportFeatures "Focus Area" "C:\Users\AMajzoub\OneDrive - Tepa\GIS_Office\Projects\DOD\Fairchild_AFB\workspace\023_Poster_of_Focus_Areas\FAFB_Focus_Area_Export\shapefile\FAFB_Proposed_Focus_Area.shp" # NOT_USE_ALIAS "featuredes "featureDes" true true false 200 Text 0 0,First,#,Focus Area,featuredes,0,199;installationname "InstallationName" true true false 250 Text 0 0,First,#,Focus Area,installationname,0,249;status "Status" true true false 255 Text 0 0,First,#,Focus Area,status,0,254;acres "acres" true true false 0 Double 0 0,First,#,Focus Area,acres,-1,-1;SHAPE__Length "SHAPE__Length" false true true 0 Double 0 0,First,#,Focus Area,SHAPE__Length,-1,-1;SHAPE__Area "SHAPE__Area" false true true 0 Double 0 0,First,#,Focus Area,SHAPE__Area,-1,-1;created_user "created_user" false true true 255 Text 0 0,First,#,Focus Area,created_user,0,254;created_date "created_date" false true true 29 Date 0 1,First,#,Focus Area,created_date,-1,-1;last_edited_user "last_edited_user" false true true 255 Text 0 0,First,#,Focus Area,last_edited_user,0,254;last_edited_date "last_edited_date" false true true 29 Date 0 1,First,#,Focus Area,last_edited_date,-1,-1" #
20260722
16281800
20260722
16281800
Esri ArcGIS 13.1.0.41833
FAFBProposedSamplingAreaExpansion
File Geodatabase Feature Class
0.000
dataset
EPSG
6.2(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
FAFBProposedFocusArea
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.
featuredes
featuredes
String
200
0
0
installati
installati
String
250
0
0
status
status
String
254
0
0
acres
acres
Double
8
0
0
SHAPE__Len
SHAPE__Len
Double
8
0
0
SHAPE__Are
SHAPE__Are
Double
8
0
0
created_us
created_us
String
254
0
0
created_da
created_da
Date
8
0
0
last_edite
last_edite
String
254
0
0
last_edi_1
last_edi_1
Date
8
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.
20260722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