20260226
16220300
1.0
FALSE
Juarez_Parcels
002
file://\\LJA-5CG3253MLX\C$\Users\rcepeda\OneDrive - LJA Engineering\Desktop\Project Templates\Output\Ysleta_constraints\constraints.gdb
Local Area Network
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/3.2.0'><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>
PairwiseClip ciudad-juarez-parcels "Study Area" "C:\Users\rcepeda\OneDrive - LJA Engineering\Desktop\Project Templates\Output\Ysleta_constraints\constraints.gdb\Juarez_Parcels" #
20260226
16220400
20260226
16220400
Microsoft Windows 10 Version 10.0 (Build 22631) ; Esri ArcGIS 13.2.0.49743
CD Juarez Parcels
File Geodatabase Feature Class
dataset
EPSG
6.18.3(9.3.1.2)
0
Simple
FALSE
0
TRUE
FALSE
Juarez_Parcels
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.
NCN
NCN
Double
8
0
0
OBJECTID
OBJECTID
Double
8
0
0
STLength
STLength
Double
8
0
0
STArea
STArea
Double
8
0
0
PADRON
PADRON
String
5
0
0
GlobalID
GlobalID
String
38
0
0
RM
RM
Double
8
0
0
Lote
Lote
Integer
4
0
0
INC
INC
Double
8
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.
20260226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