20221214
10490300
1.0
FALSE
StationCirclesAlt2_CopyFeatures
002
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_Web_Mercator_Auxiliary_Sphere
<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["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</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>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
20221214
11402900
20221214
11402900
Esri ArcGIS 13.0.0.36056
StationCirclesAlt2_CopyFeatures
File Geodatabase Feature Class
dataset
EPSG
6.18.3(9.3.1.2)
0
Simple
FALSE
0
TRUE
FALSE
StationCirclesAlt2_CopyFeatures
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.
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.
20221214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==