20240320
12174100
1.0
FALSE
CalculateField Gran_San_Salvador COLONIA "COLONIA" VB #
CalculateField Gran_San_Salvador COLONIA "RESIDENCIAL" VB #
CalculateField Gran_San_Salvador COLONIA "URBANIZACION" VB #
CalculateField Gran_San_Salvador COLONIA "REPARTO" VB #
CalculateField Gran_San_Salvador COLONIA "VILLA" VB #
CalculateField Gran_San_Salvador COLONIA "LOTIFICACION" VB #
CalculateField Gran_San_Salvador COLONIA "QUINTA" VB #
CalculateField Gran_San_Salvador COLONIA "COMPLEJO" VB #
CalculateField Gran_San_Salvador COLONIA "CONDOMINIO" VB #
CalculateField Gran_San_Salvador BARRIO "BARRIO" VB #
CalculateField Gran_San_Salvador COLONIA "CASERIO" VB #
CalculateField Gran_San_Salvador COLONIA "CENTRO URBANO" VB #
CalculateField Gran_San_Salvador COLONIA "CONDOMINIO RESIDENCIAL" VB #
CalculateField Gran_San_Salvador COLONIA "ZONA INDUSTRIAL" VB #
CalculateField Gran_San_Salvador COLONIA "CANTON" VB #
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=Q:\ProyCooperacion\CANCILLERIA\CNR\SHP</WorkspaceConnectionString><WorkspaceFactory>Shapefile</WorkspaceFactory><Dataset>Gran_San_Salvador.shp</Dataset><DatasetType>esriDTFeatureClass</DatasetType></CIMStandardDataConnection>" <operationSequence><workflow><AddField><field_name>MUN</field_name><field_type>TEXT</field_type><field_length>50</field_length><field_is_nullable>False</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>DPTO</field_name><field_type>TEXT</field_type><field_length>50</field_length><field_is_nullable>False</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>DIST</field_name><field_type>TEXT</field_type><field_length>50</field_length><field_is_nullable>False</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>COD_DPTO</field_name><field_type>TEXT</field_type><field_length>50</field_length><field_is_nullable>False</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow><workflow><AddField><field_name>COD_DIST</field_name><field_type>TEXT</field_type><field_length>50</field_length><field_is_nullable>False</field_is_nullable><field_is_required>False</field_is_required></AddField></workflow></operationSequence>
CalculateField Gran_San_Salvador COD_DPTO "Left ( $feature.MAPA,2)" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador COD_DIST "Left ( $feature.MAPA,4)" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador DIST "ANTIGUO CUSCATLÁN" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador DIST "NUEVO CUSCATLÁN" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador DIST "SANTA TECLA" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador DIST "APOPA" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador DIST "AYUTUXTEPEQUE" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador DIST "AYUTUXTEPEQUE" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador DIST "AYUTUXTEPEQUE" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador DIST "CUSCATANCINGO" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador DIST "ILOPANGO" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador DIST "MEJICANOS" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador DIST "NEJAPA" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador DIST "SAN MARCOS" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador DIST "SAN MARTIN" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador DIST "SAN SALVADOR" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador DIST "SOYAPANGO" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador DIST "TONACATEPEQUE" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador DIST "TONACATEPEQUE" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador DIST "CIUDAD DELGADO" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador DPTO "LA LIBERTAD" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador DPTO "SAN SALVADOR" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador MUN "LA LIBERTAD ESTE" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador MUN "LA LIBERTAD SUR" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador MUN "SAN SALVADOR CENTRO" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador MUN "SAN SALVADOR ESTE" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador MUN "SAN SALVADOR OESTE" Arcade # Texto NO_ENFORCE_DOMAINS
CalculateField Gran_San_Salvador MUN "SAN SALVADOR SUR" Arcade # Texto NO_ENFORCE_DOMAINS
Project Gran_San_Salvador Q:\ProyCooperacion\CANCILLERIA\CNR\AMSSS_REST\Restitución_AMSS_482KM2.gdb\Gran_San_Salvador GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137.0,298.257223563]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]] # GEOGCS['GCS_WGS_1984',DATUM['D_WGS_1984',SPHEROID['WGS_1984',6378137.0,298.257223563]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]]
CopyFeatures V_0701_CNR_PARCEL "D:\2024\20240618 Solicitud Ileana\20240618 Solicitud Propietarios Ileana\10.10.10.12,8844.sde\geovisor.usergeo.amss_planimetria\geovisor.usergeo.V_0701_CNR_PARCEL" # # # #
Server=10.10.10.12; Service=sde:postgresql:10.10.10.12,8844; Database=geovisor; User=usergeo; Version=sde.DEFAULT
ArcSDE Connection
geovisor.usergeo.V_0701_CNR_PARCEL
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/3.1.0'><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>-399.99999999999994</XOrigin><YOrigin>-399.99999999999994</YOrigin><XYScale>1000000000.0000001</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.9831528411952133e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4326</WKID><LatestWKID>4326</LatestWKID></GeographicCoordinateSystem>
20240619
07565400
20240619
8010900
150000000
5000
ItemDescription
Microsoft Windows 10 Version 10.0 (Build 22631) ; Esri ArcGIS 13.1.2.41833
V_0701_CNR_PARCEL
Parcelario CNR, proporcionado en el marco del proyecto del centro de monitoreo. para el análisis de las rutas de recolección de desechos sólidos.
CNR
parcelario
planimetría
Clase de entidad de geodatabase corporativa
dataset
EPSG
6.2(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
geovisor.usergeo.V_0701_CNR_PARCEL
Feature Class
0
objectid_1
OBJECTID_1
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
objectid
OBJECTID
Double
8
38
8
mapa
MAPA
String
160
0
0
par_cod_ub
PAR_COD_UB
String
4
0
0
parcela
PARCELA
String
160
0
0
clavecat
CLAVECAT
String
40
0
0
par_area_c
PAR_AREA_C
Double
8
38
8
par_prop
PAR_PROP
String
254
0
0
par_direcc
PAR_DIRECC
String
254
0
0
layer
layer
String
254
0
0
path
path
String
254
0
0
barrio
BARRIO
String
50
0
0
colonia
COLONIA
String
100
0
0
mun
MUN
String
50
0
0
dpto
DPTO
String
50
0
0
dist
DIST
String
50
0
0
cod_dpto
COD_DPTO
String
50
0
0
cod_dist
COD_DIST
String
50
0
0
shape
Shape
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
st_area(shape)
st_area(shape)
Double
0
0
0
st_length(shape)
st_length(shape)
Double
0
0
0
20240619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