20220224
08342600
1.0
FALSE
AnimalesPorEspecie__sp
002
file://\\fileserver1.snig.gub.uy\equipo funcional\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb
Local Area Network
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
WGS_1984_UTM_Zone_21S
<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/2.9.0'><WKT>PROJCS["WGS_1984_UTM_Zone_21S",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",10000000.0],PARAMETER["Central_Meridian",-57.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",32721]]</WKT><XOrigin>-5120900</XOrigin><YOrigin>1900</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>32721</WKID><LatestWKID>32721</LatestWKID></ProjectedCoordinateSystem>
CopyFeatures Seccionales_Policiales_20171201 "Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS2.gdb\Seccionales_Policiales_20171201_CopyFeatures2" # # # #
Project "Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS2.gdb\Seccionales_Policiales_20171201_CopyFeatures2" "Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS2.gdb\Seccionales_Policiales_201712" PROJCS["WGS_1984_UTM_Zone_21S",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",10000000.0],PARAMETER["Central_Meridian",-57.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]] # PROJCS["WGS_1984_UTM_Zone_21S",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",10000000.0],PARAMETER["Central_Meridian",-57.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]] NO_PRESERVE_SHAPE # NO_VERTICAL
AddFields "Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS2.gdb\Seccionales_Policiales_201712" "POLY_AREA DOUBLE # # # #"
AddGeometryAttributes "Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS2.gdb\Seccionales_Policiales_201712" AREA # Hectares PROJCS["WGS_1984_UTM_Zone_21S",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",10000000.0],PARAMETER["Central_Meridian",-57.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]]
DeleteField "Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS2.gdb\Seccionales_Policiales_201712" departamen;seccion;codigosecc;POLY_AREA "Keep Fields"
FeatureClassToFeatureClass "Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS2.gdb\Seccionales_Policiales_201712" "Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS2.gdb" tmp_2 # "Departamento "Departamento" true true false 50 Text 0 0,First,#,Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\Seccionales_Policiales_201712,departamen,0,50;Seccional "Seccional" true true false 4 Long 0 0,First,#,Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\Seccionales_Policiales_201712,seccion,-1,-1;Deptosecc "Deptosec" true true false 50 Text 0 0,First,#,Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\Seccionales_Policiales_201712,codigosecc,0,50;SuperficieSeccional "SuperficieSeccional" true true false 8 Double 0 0,First,#,Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\Seccionales_Policiales_201712,POLY_AREA,-1,-1" #
Rename "Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS2.gdb\tmp_2" "Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS2.gdb\Input_Seccionales" FeatureClass
CopyMultiple "'Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS2.gdb\tmp_1' FeatureClass;'Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS2.gdb\Input_Seccionales' FeatureClass;'Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS2.gdb\Input_GrillaHex10km' FeatureClass;'Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS2.gdb\Input_Cuencas' FeatureClass;'Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS2.gdb\Input_AAEE' FeatureClass;'Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS2.gdb\Input_DJ' FeatureClass" "Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb" tmp_1;Input_Seccionales;Input_GrillaHex10km;Input_Cuencas;Input_AAEE;Input_DJ "tmp_1 FeatureClass tmp_1 #;Input_Seccionales FeatureClass Input_Seccionales #;Input_GrillaHex10km FeatureClass Input_GrillaHex10km #;Input_Cuencas FeatureClass Input_Cuencas #;Input_AAEE FeatureClass Input_AAEE #;Input_DJ FeatureClass Input_DJ #"
SpatialJoin "Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\Input_Seccionales" "Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\tmp_1_CopyFeatures1" "Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\AnimalesPorEspecie__sp" "Join one to one" KEEP_ALL "Departamento "Departamento" true true false 50 Text 0 0,First,#,Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\Input_Seccionales,Departamento,0,50;Seccional "Seccional" true true false 4 Long 0 0,First,#,Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\Input_Seccionales,Seccional,-1,-1;Deptosecc "Deptosecc" true true false 50 Text 0 0,First,#,Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\Input_Seccionales,Deptosecc,0,50;SuperficieSeccional "SuperficieSeccional" true true false 8 Double 0 0,First,#,Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\Input_Seccionales,SuperficieSeccional,-1,-1;TotalDeEstablecimientos "TotalDeEstablecimientos" true false false 4 Long 0 0,Count,#,Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\tmp_1_CopyFeatures1,TotalDeEstablecimientos,-1,-1;SuperficieTotal "SuperficieTotal" true false false 4 Long 0 0,Sum,#,Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\tmp_1_CopyFeatures1,SuperficieTotal,-1,-1;TotalBovinos "TotalBovinos" true false false 4 Long 0 0,Sum,#,Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\tmp_1_CopyFeatures1,TotalBovinos,-1,-1;TotalSuinos "TotalSuinos" true false false 4 Long 0 0,Sum,#,Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\tmp_1_CopyFeatures1,TotalSuinos,-1,-1;TotalOvinos "TotalOvinos" true false false 4 Long 0 0,Sum,#,Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\tmp_1_CopyFeatures1,TotalOvinos,-1,-1;TotalEquinos "TotalEquinos" true false false 4 Long 0 0,Sum,#,Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\tmp_1_CopyFeatures1,TotalEquinos,-1,-1;TotalCaprinos "TotalCaprinos" true false false 4 Long 0 0,Sum,#,Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\tmp_1_CopyFeatures1,TotalCaprinos,-1,-1;TotalBovinosLecheros "TotalBovinosLecheros" true false false 4 Long 0 0,Sum,#,Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\tmp_1_CopyFeatures1,TotalBovinosLecheros,-1,-1;UnidadesGanaderas "UnidadesGanaderas" true true false 255 Double 0 0,Sum,#,Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\tmp_1_CopyFeatures1,UnidadesGanaderas,-1,-1;SuperficieGanadera "SuperficieGanadera" true true false 255 Double 0 0,Sum,#,Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\tmp_1_CopyFeatures1,SuperficieGanadera,-1,-1;SuperficieMejoramientos "SuperficieMejoramientos" true true false 255 Double 0 0,Sum,#,Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\tmp_1_CopyFeatures1,SuperficieMejoramientos,-1,-1" Intersect # #
AddField "Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\AnimalesPorEspecie__sp" Dotacion "Double (double precision)" # # # Dotacion NULLABLE NON_REQUIRED #
CalculateField "Z:\Indicadores IDSE\GIS\DJ_GIS\DJ_GIS.gdb\AnimalesPorEspecie__sp" Dotacion f(!UnidadesGanaderas!,!SuperficieGanadera!) "Python 3" "def f(UnidadesGanaderas,SuperficieGanadera):
try:
return UnidadesGanaderas / float(SuperficieGanadera)
except:
pass" Text NO_ENFORCE_DOMAINS
20220308
17414400
20220308
17414400
Microsoft Windows 10 Version 10.0 (Build 19044) ; Esri ArcGIS 12.9.0.32739
Animales por Especie _sp
<div>
<b>
CopyToDataStore
- Result</b> <br />
<b>Arguments:</b> <br />
<ul>
<li>
<b>
Input Layer
:
<feature record set>
</b>
</li><li>
<b>
Output Layer Name
:
DJ_SecPol_AnimalesPorEspecies
</b>
</li><li>
<b>
Output Layer
:
<record set>
</b>
</li>
</ul>
<b>Environment:</b> <br />
<ul>
<li><b>Output Extent: </b></li>
<li><b>Process Spatial Reference: </b>[ tol: 0.001; wkid: 32721; wkt: PROJCS["WGS_1984_UTM_Zone_21S",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532... (442 characters)</li>
<li><b>Output Spatial Reference: </b></li>
<li><b>Data Store: </b>relational</li>
</ul>
</div>
SNIG
Declaración Jurada
2021
Seccionales policiales
departamentos
Bovinos
Caprinos
Ovinos
Equinos
Suinos
Lecheros
Cantidad de Productores
Superficie
Cantidad de Animales por especie agrupados en Seccionales policiales. Fuente: Datos Actualizados de la Declaración Jurada 2021
File Geodatabase Feature Class
dataset
EPSG
9.8.8(3.0.1)
0
Simple
FALSE
0
TRUE
FALSE
AnimalesPorEspecie__sp
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.
Join_Count
Join_Count
Integer
4
0
0
TARGET_FID
TARGET_FID
Integer
4
0
0
Departamento
Departamento
String
50
0
0
Seccional
Seccional
Integer
4
0
0
Deptosecc
Deptosecc
String
50
0
0
SuperficieSeccional
SuperficieSeccional
Double
8
0
0
TotalDeEstablecimientos
TotalDeEstablecimientos
Integer
4
0
0
SuperficieTotal
SuperficieTotal
Integer
4
0
0
TotalBovinos
TotalBovinos
Integer
4
0
0
TotalSuinos
TotalSuinos
Integer
4
0
0
TotalOvinos
TotalOvinos
Integer
4
0
0
TotalEquinos
TotalEquinos
Integer
4
0
0
TotalCaprinos
TotalCaprinos
Integer
4
0
0
TotalBovinosLecheros
TotalBovinosLecheros
Integer
4
0
0
UnidadesGanaderas
UnidadesGanaderas
Double
8
0
0
SuperficieGanadera
SuperficieGanadera
Double
8
0
0
SuperficieMejoramientos
SuperficieMejoramientos
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.
20220308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