20240404
09235400
1.0
FALSE
DriveTime_GISC_Riyadh
002
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_UTM_Zone_38N
<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/3.2.0'><WKT>PROJCS["WGS_1984_UTM_Zone_38N",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",45.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",32638]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>-9998100</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>32638</WKID><LatestWKID>32638</LatestWKID></ProjectedCoordinateSystem>
20240415
17014600
20240415
17014600
Esri ArcGIS 13.2.0.49743
DriveTime_GISC_Riyadh
MoE
TBC
KSA
Drive Time Boundary
File Geodatabase Feature Class
dataset
EPSG
9.8.8(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
DriveTime_GISC_Riyadh
Feature Class
0
OBJECTID_1
OBJECTID_1
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.
OBJECTID
OBJECTID
Integer
4
0
0
GISC_Urban_Area_ENTITY
ENTITY
String
16
0
0
LAYER
LAYER
String
254
0
0
TYPE_
TYPE
String
70
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.
20240415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=