20200806
17294100
1.0
FALSE
NearestPotholes
002
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/2.5.0'><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>999999999.99999988</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>
20200806
17294100
20200806
17294100
Esri ArcGIS 12.5.1.22081
NearestPotholes
potholes
Potholes
File Geodatabase Feature Class
dataset
EPSG
6.14(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
NearestPotholes
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.
IN_FID
IN_FID
Integer
4
0
0
NEAR_FID
NEAR_FID
Integer
4
0
0
NEAR_DIST
NEAR_DIST
Double
8
0
0
FROM_X
FROM_X
Double
8
0
0
FROM_Y
FROM_Y
Double
8
0
0
NEAR_X
NEAR_X
Double
8
0
0
NEAR_Y
NEAR_Y
Double
8
0
0
20200806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