20230420
10574900
1.0
FALSE
appomattox_dissolved
002
Geographic
GCS_NAD_1983_NSRS2007
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/3.0.0'><WKT>GEOGCS["GCS_NAD_1983_NSRS2007",DATUM["D_NAD_1983_NSRS2007",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4759]]</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>4759</WKID><LatestWKID>4759</LatestWKID></GeographicCoordinateSystem>
20230420
11004600
20230420
11004600
Esri ArcGIS 13.0.2.36056
appomattox_dissolved
File Geodatabase Feature Class
dataset
EPSG
6.14(9.3.0.0)
0
Simple
FALSE
0
TRUE
FALSE
appomattox_dissolved
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.
SFHACHG
SFHACHG
String
25
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.
20230420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