20170704
10210400
1.0
FALSE
CalculateField CROQUISTAJUMULCO150226 AREA_CDAS [AREA_M]/436.71
VB #
CalculateField CROQUISTAJUMULCO150226 AREA_CDAS [AREA_M]/436.71
VB #
CalculateField CROQUISTAJUMULCO150226 AREA_CDAS [AREA_M]/436.71 VB #
CalculateField CROQUISTAJUMULCO150226 AREA_CDAS [AREA_M]/436.71 VB #
CalculateField CROQUISTAJUMULCO150226 AREA_CDAS [AREA_M]/436.71 VB #
CalculateField CROQUISTAJUMULCO150226 AREA_CDAS [AREA_M]/436.71 VB #
CalculateField CROQUISTAJUMULCO150226 AREA_CDAS "[AREA_M] /436.71
" VB #
CalculateField CROQUISTAJUMULCO150226 AREA_CDAS "[AREA_M] /436.71
" VB #
CalculateField CROQUISTAJUMULCO150226 AREA_CDAS [AREA_M]/436.71
VB #
CalculateField CROQUISTAJUMULCO150226 AREA_CDAS [AREA_M]/436.71 VB #
CalculateField CROQUISTAJUMULCO150226 AREA_CDAS "[AREA_M] /436.71" VB #
CalculateField CROQUISTAJUMULCO150226 AREA_CDAS "[AREA_M] /436.71" VB #
CalculateField CROQUISTAJUMULCO150226 AREA_CDAS "[AREA_M] /436.71" VB #
CalculateField CROQUISTAJUMULCO150226 AREA_CDAS "[AREA_M] /436.71" VB #
CalculateField CROQUISTAJUMULCO150226 AREA_CDAS "[AREA_M] /436.71" VB #
CalculateField CROQUISTAJUMULCO150226 AREA_CDAS [AREA_M]/436.71 VB #
CalculateField CROQUISTAJUMULCO150226 AREA_CDAS [AREA_CDAS]/436.71 VB #
CalculateField CROQUISTAJUMULCO150226 AREA_CDAS "[AREA_M] /436.71" VB #
CalculateField CROQUISTAJUMULCO150226 AREA_CDAS [AREA_M]/436.71
VB #
CalculateField CROQUISTAJUMULCO150406 AREA_CDAS [AREA_M]/436.71
VB #
CalculateField CROQUISTAJUMULCO150406 AREA_CDAS [AREA_M]/436.71 VB #
CalculateField CROQUISTAJUMULCO150406 AREA_CDAS [AREA_M]/436.71 VB #
CalculateField CROQUISTAJUMULCO150406 CDAXMST "[AREA_CDAS]/ [MUESTRAS]" VB #
CalculateField CISIGCARIV5170704MOSAICO METODO "LIFI_GEP" VB #
ExportFeatures CISIGCARIV5170704MOSAICO C:\GIS_ANACAFE\PRODUCTOS_GIS\EMPRENDIMIENTOS_ESPECIALES\cafe_editor\cafe_editor.gdb\CISIGCARIV5170704MOSAICO # NOT_USE_ALIAS "FINCA "FINCA" true true false 50 Text 0 0,First,#,CISIGCARIV5170704MOSAICO,FINCA,0,50;ID_SIGCA "ID_SIGCA" true true false 19 Double 0 0,First,#,CISIGCARIV5170704MOSAICO,ID_SIGCA,-1,-1;METODO "METODO" true true false 50 Text 0 0,First,#,CISIGCARIV5170704MOSAICO,METODO,0,50;STATUS_GEO "STATUS_GEO" true true false 50 Text 0 0,First,#,CISIGCARIV5170704MOSAICO,STATUS_GEO,0,50;area_m "area_m" true true false 19 Double 0 0,First,#,CISIGCARIV5170704MOSAICO,area_m,-1,-1" #
UpdateSchema "CIMDATA=<CIMStandardDataConnection xsi:type='typens:CIMStandardDataConnection' 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/3.1.0'><WorkspaceConnectionString>DATABASE=C:\GIS_ANACAFE\PRODUCTOS_GIS\EMPRENDIMIENTOS_ESPECIALES\cafe_editor\cafe_editor.gdb</WorkspaceConnectionString><WorkspaceFactory>FileGDB</WorkspaceFactory><Dataset>CISIGCARIV5170704MOSAICO</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>area_has</field_name><field_type>DOUBLE</field_type><field_is_nullable>True</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
CalculateField CISIGCARIV5170704MOSAICO area_has "!Shape_Area! / 10000" "Python 3" # Text NO_ENFORCE_DOMAINS
DeleteField CISIGCARIV5170704MOSAICO area_m "Delete Fields"
Rename C:\GIS_ANACAFE\PRODUCTOS_GIS\EMPRENDIMIENTOS_ESPECIALES\cafe_editor\cafe_editor.gdb\CISIGCARIV5170704MOSAICO C:\GIS_ANACAFE\PRODUCTOS_GIS\EMPRENDIMIENTOS_ESPECIALES\cafe_editor\cafe_editor.gdb\mosaico_upas_RI_V5170704 FeatureClass
file://\\W10ANG5C1DK3\C$\GIS_ANACAFE\PRODUCTOS_GIS\EMPRENDIMIENTOS_ESPECIALES\cafe_editor\cafe_editor.gdb
Local Area Network
CISIGCARIV5170704MOSAICO
002
0.000
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
GTM
<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/3.1.0'><WKT>PROJCS["GTM",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",-90.5],PARAMETER["Scale_Factor",0.9998],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["Esri",103598]]</WKT><XOrigin>-5122000</XOrigin><YOrigin>-10000100</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>103598</WKID><LatestWKID>103598</LatestWKID></ProjectedCoordinateSystem>
20230223
16152500
20230223
16152500
Microsoft Windows 10 Version 10.0 (Build 19042) ; Esri ArcGIS 13.1.0.41833
mosaico_upas_RI_V5170704
mosaico
upas
RI
Mosaico de unidades productivas región I
File Geodatabase Feature Class
0.000
dataset
Esri
12.6.0
0
Simple
FALSE
0
TRUE
FALSE
CISIGCARIV5170704MOSAICO
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.
FINCA
FINCA
String
50
0
0
ID_SIGCA
ID_SIGCA
Double
8
0
0
METODO
METODO
String
50
0
0
STATUS_GEO
STATUS_GEO
String
50
0
0
area_m
area_m
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.
20230223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