20260911
13265800
1.0
FALSE
Históricohuella_ClipBuff0300m
002
file://\\DESKTOP-UL6DA0K\D$\GEO\REGION\02 prj\GD02Territorio\02Territorio\02Territorio.gdb
Local Area Network
Geographic
GCS_MAGNA
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/3.4.0'><WKT>GEOGCS["GCS_MAGNA",DATUM["D_MAGNA",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4686]]</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>4686</WKID><LatestWKID>4686</LatestWKID></GeographicCoordinateSystem>
Clip "Histórico huella" RedVialOSM_0300m "D:\GEO\REGION\02 prj\GD02Territorio\02Territorio\02Territorio.gdb\Históricohuella_ClipBuff0300m" #
CalculateGeometryAttributes Históricohuella_ClipBuff0300m "area_huella AREA_GEODESIC" # HECTARES # SAME_AS_INPUT
PairwiseErase "Huella urbana - Corredor Bogotá - Soacha a 300 m" HuellaurbanaCorred_Intersect "D:\GEO\REGION\02 prj\GD02Territorio\02Territorio\02Territorio.gdb\HuellaurbanaCo_PairwiseErase" #
Rename "D:\GEO\REGION\02 prj\GD02Territorio\02Territorio\02Territorio.gdb\HuellaurbanaCo_PairwiseErase" "D:\GEO\REGION\02 prj\GD02Territorio\02Territorio\02Territorio.gdb\Huellaurbana_PErase" FeatureClass
Rename "D:\GEO\REGION\02 prj\GD02Territorio\02Territorio\02Territorio.gdb\Huellaurbana_PErase" "D:\GEO\REGION\02 prj\GD02Territorio\02Territorio\02Territorio.gdb\Huellaurbana_Erase" FeatureClass
Merge Huellaurbana_Erase;Huellaurbana_Intersect "D:\GEO\REGION\02 prj\GD02Territorio\02Territorio\02Territorio.gdb\Huellaurbana_Merge" "mpio_cnmbr "Municipio" true true false 250 Text 0 0,First,#,Huellaurbana_Erase,mpio_cnmbr,0,249,Huellaurbana_Intersect,mpio_cnmbr,0,249;subregion "Subregión" true true false 50 Text 0 0,First,#,Huellaurbana_Erase,subregion,0,49,Huellaurbana_Intersect,subregion,0,49;año_estudio "Año de estudio" true true false 4 Long 0 0,First,#,Huellaurbana_Erase,año_estudio,-1,-1,Huellaurbana_Intersect,año_estudio,-1,-1;area_huella "Área (Ha)" true true false 8 Double 0 0,First,#,Huellaurbana_Erase,area_huella,-1,-1,Huellaurbana_Intersect,area_huella,-1,-1;FID_Históricohuella_ClipBuff0300m "FID_Históricohuella_ClipBuff0300m" true true false 8 BigInteger 0 0,First,#,Huellaurbana_Intersect,FID_Históricohuella_ClipBuff0300m,-1,-1" NO_SOURCE_INFO MANUAL_EDIT
ExportFeatures Huellaurbana_Merge "D:\GEO\REGION\02 prj\GD02Territorio\02Territorio\02Territorio.gdb\Históricohuella_ClipBuff0300m" # NOT_USE_ALIAS "mpio_cnmbr "Municipio" true true false 250 Text 0 0,First,#,Huellaurbana_Merge,mpio_cnmbr,0,249;subregion "Subregión" true true false 50 Text 0 0,First,#,Huellaurbana_Merge,subregion,0,49;año_estudio "Año de estudio" true true false 4 Long 0 0,First,#,Huellaurbana_Merge,año_estudio,-1,-1;area_huella "Área (Ha)" true true false 8 Double 0 0,First,#,Huellaurbana_Merge,area_huella,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Huellaurbana_Merge,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Huellaurbana_Merge,Shape_Area,-1,-1;FID_Históricohuella_ClipBuff0300m "FID_Históricohuella_ClipBuff0300m" true true false 8 BigInteger 0 0,First,#,Huellaurbana_Merge,FID_Históricohuella_ClipBuff0300m,-1,-1" #
CalculateGeometryAttributes "Huella urbana - Corredor Bogotá - Soacha a 300 m" "area_huella AREA_GEODESIC" # HECTARES # SAME_AS_INPUT
RepairGeometry "Huella urbana - Corredor Bogotá - Soacha a 300 m" DELETE_NULL ESRI
Project "Huella urbana - Corredor Bogotá - Soacha a 300 m" "D:\GEO\REGION\02 prj\GD02Territorio\02Territorio\02Territorio.gdb\HuellaurbanaCorredor_Project" PROJCS["WGS_1984_World_Mercator",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"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],UNIT["Meter",1.0]] MAGNA_To_WGS_1984_1 GEOGCS["GCS_MAGNA",DATUM["D_MAGNA",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]] NO_PRESERVE_SHAPE # NO_VERTICAL
20260721
15371500
20260721
15371500
150000000
5000
ItemDescription
Microsoft Windows 10 Version 10.0 (Build 26200) ; Esri ArcGIS 13.4.0.55405
Huella urbana8_WFL1
Presenta el crecimiento de la huella urbana en los últimos años alrededor del corredor de la Autopista Sur
<div style='text-align:Left;'><p><span>Contiene una selección del crecimiento de la huella urbana hasta el año 2025, sobre un área de influencia de 300 metros (más o menos 5 minutos a pie) del corredor Bogotá - Soacha.</span></p></div>
Autopista Sur
File Geodatabase Feature Class
dataset
EPSG
6.14(9.2.0)
0
Simple
FALSE
0
TRUE
TRUE
Históricohuella_ClipBuff0300m
Feature Class
0
OBJECTID
objectid
OID
8
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.
mpio_cnmbr
Municipio
String
250
0
0
subregion
Subregión
String
50
0
0
año_estudio
Año de estudio
Integer
4
0
0
area_huella
Área (Ha)
Double
8
0
0
FID_Históricohuella_ClipBuff0300m
FID_Históricohuella_ClipBuff0300m
BigInteger
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.
20260721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