20140304
08581600
1.0
FGDC CSDGM Metadata
FALSE
Divisions
002
2018835.751659
2229519.280094
106167.899983
248593.966508
1
Projected
GCS_NAD_1983_CORS96
Linear Unit: Foot_US (0.304801)
NAD_1983_CORS96_StatePlane_Oklahoma_North_FIPS_3501_Ft_US
<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/10.4'><WKT>PROJCS["NAD_1983_CORS96_StatePlane_Oklahoma_North_FIPS_3501_Ft_US",GEOGCS["GCS_NAD_1983_CORS96",DATUM["D_NAD_1983_CORS96",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",1968500.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-98.0],PARAMETER["Standard_Parallel_1",35.56666666666667],PARAMETER["Standard_Parallel_2",36.76666666666667],PARAMETER["Latitude_Of_Origin",35.0],UNIT["Foot_US",0.3048006096012192],AUTHORITY["Esri",103512]]</WKT><XOrigin>-121323100</XOrigin><YOrigin>-94209400</YOrigin><XYScale>3048.0060960121914</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.0032808333333333335</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>103512</WKID><LatestWKID>103512</LatestWKID></ProjectedCoordinateSystem>
20230410
13275100
20230410
13275100
Version 6.2 (Build 9200) ; Esri ArcGIS 10.4.1.5686
Divisions
1
-97.831345
-97.121130
35.682796
35.288421
Feature Class
dataset
Esri
10.0.0
5
Simple
FALSE
5
TRUE
FALSE
Divisions
Feature Class
5
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
ESRI
Sequential unique whole numbers that are automatically generated.
DIVISION
DIVISION
String
50
0
0
CODE
CODE
String
5
0
0
Shape
Shape
Geometry
4
0
0
Feature geometry.
ESRI
Coordinates defining the features.
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
20230410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