20201021
22134900
1.0
XTools Pro Metadata
FALSE
NC 119 Area
002
0.000
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_North_Carolina_FIPS_3200_Feet
<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/10.6'><WKT>PROJCS["NAD_1983_StatePlane_North_Carolina_FIPS_3200_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",2000000.002616666],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-79.0],PARAMETER["Standard_Parallel_1",34.33333333333334],PARAMETER["Standard_Parallel_2",36.16666666666666],PARAMETER["Latitude_Of_Origin",33.75],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2264]]</WKT><XOrigin>-121841900</XOrigin><YOrigin>-93659000</YOrigin><XYScale>36365718.124241434</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102719</WKID><LatestWKID>2264</LatestWKID></ProjectedCoordinateSystem>
20181018
10553200
20181018
10553200
Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270
NC 119 Area
NC 119
Area of NC 119
Shapefile
0.000
dataset
EPSG
6.12(9.0.0)
0
Simple
FALSE
0
FALSE
FALSE
NC 119 Area
Feature Class
0
FID
FID
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.
Id
Id
Integer
10
10
0
Shape_Leng
Shape_Leng
Double
19
0
0
Shape_Area
Shape_Area
Double
19
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20181018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==