20250530
08270200
FALSE
20250728
22544200
20250728
22544200
FeatureClassToFeatureClass C:\REMONTA.gdb\BAIRROS_PDDU "Database Connections\SIGJF_sigplan.sde\dbsig.SIGPLAN.LIMITES_TERRITORIAIS" BAIRROS_PDDU # "NUM_BAIRRO 'NUM_BAIRRO' true true false 2 Short 0 0 ,First,#,C:\REMONTA.gdb\BAIRROS_PDDU,NUM_BAIRRO,-1,-1;NOME_BAIRRO 'NOME_BAIRRO' true true false 70 Text 0 0 ,First,#,C:\REMONTA.gdb\BAIRROS_PDDU,NOME_BAIRRO,-1,-1;SHAPE_Length 'SHAPE_Length' false true true 8 Double 0 0 ,First,#,C:\REMONTA.gdb\BAIRROS_PDDU,SHAPE_Length,-1,-1;SHAPE_Area 'SHAPE_Area' false true true 8 Double 0 0 ,First,#,C:\REMONTA.gdb\BAIRROS_PDDU,SHAPE_Area,-1,-1" # "Database Connections\SIGJF_sigplan.sde\dbsig.SIGPLAN.LIMITES_TERRITORIAIS\dbsig.SIGPLAN.BAIRROS_PDDU"
CopyFeatures "Database Connections\SIGJF_sigplan.sde\dbsig.SIGPLAN.LIMITES_TERRITORIAIS\dbsig.SIGPLAN.BAIRROS_PDDU" C:\limites_territotiais_ajustes_voltar.gdb\dbsig_SIGPLAN_BAIRROS_PDDU # 0 0 0
CopyFeatures C:\limites_territotiais_ajustes_voltar.gdb\BAIRROS_PDDU "Database Connections\SIGJF_sigplan.sde\dbsig.SIGPLAN.LIMITES_TERRITORIAIS\dbsig.SIGPLAN.BAIRROS_PDDU" # 0 0 0
CopyFeatures "Database Connections\SIGJF_sigplan.sde\dbsig.SIGPLAN.LIMITES_TERRITORIAIS\dbsig.SIGPLAN.BAIRROS_PDDU" "R:\ssplat\dpot\spig\VALIDACAO IGA\LIMITES FINAIS CORRIGIDOS DEZ_2012\LIMITES CORRIGIDOS PJF.gdb\BAIRROS_PDDU" # 0 0 0
CopyFeatures "F:\ATUALIZAR DATACENTER\LIMITES CORRIGIDOS PJF.gdb\BAIRROS_PDDU" "Database Connections\SIGPLAN.sde\dbsig.SIGPLAN.LIMITES_TERRITORIAIS\dbsig.SIGPLAN.BAIRROS_PDDU" # 0 0 0
Project "Conexões do Banco de Dados\NOVO_BANCO_SIGPLAN.sde\dbsig.SIGPLAN.LIMITES_TERRITORIAIS\dbsig.SIGPLAN.BAIRROS_PDDU" "C:\Users\sepur\Desktop\[MAT] SIGPLAN SIRGAS2000\dbsig.SIGPLAN.LIMITES_TERRITORIAIS\BAIRROS_PDDU.shp" PROJCS['SIRGAS_2000_UTM_Zone_23S',GEOGCS['GCS_SIRGAS_2000',DATUM['D_SIRGAS_2000',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',500000.0],PARAMETER['False_Northing',10000000.0],PARAMETER['Central_Meridian',-45.0],PARAMETER['Scale_Factor',0.9996],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]] SAD_1969_To_SIRGAS_2000_2 PROJCS['SAD_1969_UTM_Zone_23S',GEOGCS['GCS_South_American_1969',DATUM['D_South_American_1969',SPHEROID['GRS_1967_Truncated',6378160.0,298.25]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',500000.0],PARAMETER['False_Northing',10000000.0],PARAMETER['Central_Meridian',-45.0],PARAMETER['Scale_Factor',0.9996],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]] NO_PRESERVE_SHAPE # NO_VERTICAL
CopyFeatures "C:\Users\sepur\Desktop\[MAT] SIGPLAN SIRGAS2000\dbsig.SIGPLAN.LIMITES_TERRITORIAIS\BAIRROS_PDDU.shp" "Conexões do Banco de Dados\NOVO_BANCO_SIGPLAN.sde\dbsig.SIGPLAN.LIMITES_TERRITORIAIS\dbsig.SIGPLAN.BAIRROS_PDDU" # 0 0 0
CopyFeatures "Database Connections\NOVO_BANCO_SIGPLAN.sde\dbsig.SIGPLAN.LIMITES_TERRITORIAIS\dbsig.SIGPLAN.BAIRROS_PDDU" "C:\Users\sepur\Desktop\[MAT] BACKUP SIRGAS2000 ERRADO\dbsig.SIGPLAN.LIMITES_TERRITORIAIS\BAIRROS_PDDU.shp" # 0 0 0
Project "C:\Users\sepur\Desktop\[MAT] BACKUP SIRGAS2000 ERRADO\dbsig.SIGPLAN.LIMITES_TERRITORIAIS\BAIRROS_PDDU.shp" "C:\Users\sepur\Desktop\[MAT] BACKUP SAD69\dbsig.SIGPLAN.LIMITES_TERRITORIAIS\BAIRROS_PDDU.shp" PROJCS['SAD_1969_UTM_Zone_23S',GEOGCS['GCS_South_American_1969',DATUM['D_South_American_1969',SPHEROID['GRS_1967_Truncated',6378160.0,298.25]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',500000.0],PARAMETER['False_Northing',10000000.0],PARAMETER['Central_Meridian',-45.0],PARAMETER['Scale_Factor',0.9996],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]] SAD_1969_To_SIRGAS_2000_2 PROJCS['SIRGAS_2000_UTM_Zone_23S',GEOGCS['GCS_SIRGAS_2000',DATUM['D_SIRGAS_2000',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',500000.0],PARAMETER['False_Northing',10000000.0],PARAMETER['Central_Meridian',-45.0],PARAMETER['Scale_Factor',0.9996],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]] NO_PRESERVE_SHAPE # NO_VERTICAL
Project "C:\Users\sepur\Desktop\[MAT] BACKUP SAD69\dbsig.SIGPLAN.LIMITES_TERRITORIAIS\BAIRROS_PDDU.shp" "C:\Users\sepur\Desktop\[MAT] BACKUP SIRGAS2000 CERTO\dbsig.SIGPLAN.LIMITES_TERRITORIAIS\BAIRROS_PDDU.shp" PROJCS['SIRGAS_2000_UTM_Zone_23S',GEOGCS['GCS_SIRGAS_2000',DATUM['D_SIRGAS_2000',SPHEROID['GRS_1980',6378137.0,298.257222101]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',500000.0],PARAMETER['False_Northing',10000000.0],PARAMETER['Central_Meridian',-45.0],PARAMETER['Scale_Factor',0.9996],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]] SAD69_SIRGAS2000_GEOCENTRIC PROJCS['SAD_1969_UTM_Zone_23S',GEOGCS['GCS_South_American_1969',DATUM['D_South_American_1969',SPHEROID['GRS_1967_Truncated',6378160.0,298.25]],PRIMEM['Greenwich',0.0],UNIT['Degree',0.0174532925199433]],PROJECTION['Transverse_Mercator'],PARAMETER['False_Easting',500000.0],PARAMETER['False_Northing',10000000.0],PARAMETER['Central_Meridian',-45.0],PARAMETER['Scale_Factor',0.9996],PARAMETER['Latitude_Of_Origin',0.0],UNIT['Meter',1.0]] NO_PRESERVE_SHAPE # NO_VERTICAL
CopyFeatures BAIRROS_PDDU C:\Users\leonardo\Documents\ArcGIS\Projects\ArquivoBase_2022\GEODB_COMPLETO_23.08.gdb\LIMITES_TERRITORIAIS\BAIRROS_PDDU # # # #
CalculateField "Limite de Bairros | PDDU [2000]" fonte "PDDU" VB #
CalculateField "Limite de Bairros | PDDU [2000]" ano "2000" VB #
CalculateField "Limite de Bairros" qtd_contribuintes_oficina_7_1 [qtd_contribuintes_oficina_7] VB #
FeatureClassToFeatureClass "Database Connections\_134_juiz_fora_peus_super.sde\juiz_fora_peus.sde.TERRITORIAL\juiz_fora_peus.sde.ter_limites_bairros2" "Database Connections\_134_juiz_fora_peus_super.sde\juiz_fora_peus.sde.TERRITORIAL" ter_limites_bairros # "nro "Nro" true true false 4 Long 0 10 ,First,#,Database Connections\_134_juiz_fora_peus_super.sde\juiz_fora_peus.sde.TERRITORIAL\juiz_fora_peus.sde.ter_limites_bairros2,nro,-1,-1;nome "Nome" true true false 70 Text 0 0 ,First,#,Database Connections\_134_juiz_fora_peus_super.sde\juiz_fora_peus.sde.TERRITORIAL\juiz_fora_peus.sde.ter_limites_bairros2,nome,-1,-1;qtd_contrib_oficina_1_centro "Qtd.Contrib.Oficina.1.Centro" true true false 2 Short 0 5 ,First,#,Database Connections\_134_juiz_fora_peus_super.sde\juiz_fora_peus.sde.TERRITORIAL\juiz_fora_peus.sde.ter_limites_bairros2,qtd_contrib_oficina_1_centro,-1,-1;qtd_contrib_oficina_2_oeste "Qtd.Contrib.Oficina.2.Oeste" true true false 2 Short 0 5 ,First,#,Database Connections\_134_juiz_fora_peus_super.sde\juiz_fora_peus.sde.TERRITORIAL\juiz_fora_peus.sde.ter_limites_bairros2,qtd_contrib_oficina_2_oeste,-1,-1;qtd_contrib_oficina_3_leste "Qtd.Contrib.Oficina.3.Leste" true true false 2 Short 0 5 ,First,#,Database Connections\_134_juiz_fora_peus_super.sde\juiz_fora_peus.sde.TERRITORIAL\juiz_fora_peus.sde.ter_limites_bairros2,qtd_contrib_oficina_3_leste,-1,-1;qtd_contrib_oficina_4_nordeste "Qtd.Contrib.Oficina.4.Nordeste" true true false 2 Short 0 5 ,First,#,Database Connections\_134_juiz_fora_peus_super.sde\juiz_fora_peus.sde.TERRITORIAL\juiz_fora_peus.sde.ter_limites_bairros2,qtd_contrib_oficina_4_nordeste,-1,-1;qtd_contrib_oficina_5_vilas_nu "Qtd.Contrib.Oficina.5.Vilas.Nuc.Urb" true true false 2 Short 0 5 ,First,#,Database Connections\_134_juiz_fora_peus_super.sde\juiz_fora_peus.sde.TERRITORIAL\juiz_fora_peus.sde.ter_limites_bairros2,qtd_contrib_oficina_5_vilas_nu,-1,-1;qtd_contrib_oficina_6_n_co "Qtd.Contrib.Oficina.6.Vilas.Norte.Centroeste" true true false 2 Short 0 5 ,First,#,Database Connections\_134_juiz_fora_peus_super.sde\juiz_fora_peus.sde.TERRITORIAL\juiz_fora_peus.sde.ter_limites_bairros2,qtd_contrib_oficina_6_n_co,-1,-1;qtd_contrib_oficina_7_sudeste "Qtd.Contrib.Oficina.7.Sudeste" true true false 2 Short 0 5 ,First,#,Database Connections\_134_juiz_fora_peus_super.sde\juiz_fora_peus.sde.TERRITORIAL\juiz_fora_peus.sde.ter_limites_bairros2,qtd_contrib_oficina_7_sudeste,-1,-1;qtd_contrib_oficina_8_sul "Qtd.Contrib.Oficina.8.Sul" true true false 50 Text 0 0 ,First,#,Database Connections\_134_juiz_fora_peus_super.sde\juiz_fora_peus.sde.TERRITORIAL\juiz_fora_peus.sde.ter_limites_bairros2,qtd_contrib_oficina_8_sul,-1,-1;qtd_incriscoes_vaf "qtd_incriscoes_vaf" true true false 4 Long 0 10 ,First,#,Database Connections\_134_juiz_fora_peus_super.sde\juiz_fora_peus.sde.TERRITORIAL\juiz_fora_peus.sde.ter_limites_bairros2,qtd_incriscoes_vaf,-1,-1;observacao "Observação" true true false 255 Text 0 0 ,First,#,Database Connections\_134_juiz_fora_peus_super.sde\juiz_fora_peus.sde.TERRITORIAL\juiz_fora_peus.sde.ter_limites_bairros2,observacao,-1,-1;fonte "Fonte" true true false 50 Text 0 0 ,First,#,Database Connections\_134_juiz_fora_peus_super.sde\juiz_fora_peus.sde.TERRITORIAL\juiz_fora_peus.sde.ter_limites_bairros2,fonte,-1,-1;ano "Ano" true true false 50 Text 0 0 ,First,#,Database Connections\_134_juiz_fora_peus_super.sde\juiz_fora_peus.sde.TERRITORIAL\juiz_fora_peus.sde.ter_limites_bairros2,ano,-1,-1;created_user "Criado.Por" false true false 255 Text 0 0 ,First,#,Database Connections\_134_juiz_fora_peus_super.sde\juiz_fora_peus.sde.TERRITORIAL\juiz_fora_peus.sde.ter_limites_bairros2,created_user,-1,-1;created_date "Criado.Data" false true false 8 Date 0 0 ,First,#,Database Connections\_134_juiz_fora_peus_super.sde\juiz_fora_peus.sde.TERRITORIAL\juiz_fora_peus.sde.ter_limites_bairros2,created_date,-1,-1;last_edited_user "Editado.Por" false true false 255 Text 0 0 ,First,#,Database Connections\_134_juiz_fora_peus_super.sde\juiz_fora_peus.sde.TERRITORIAL\juiz_fora_peus.sde.ter_limites_bairros2,last_edited_user,-1,-1;last_edited_date "Editado.Data" false true false 8 Date 0 0 ,First,#,Database Connections\_134_juiz_fora_peus_super.sde\juiz_fora_peus.sde.TERRITORIAL\juiz_fora_peus.sde.ter_limites_bairros2,last_edited_date,-1,-1;globalid "globalid" false false false 38 GlobalID 0 0 ,First,#,Database Connections\_134_juiz_fora_peus_super.sde\juiz_fora_peus.sde.TERRITORIAL\juiz_fora_peus.sde.ter_limites_bairros2,globalid,-1,-1;st_area(shape) "Área(m²)" false false true 0 Double 0 0 ,First,#,Database Connections\_134_juiz_fora_peus_super.sde\juiz_fora_peus.sde.TERRITORIAL\juiz_fora_peus.sde.ter_limites_bairros2,st_area(shape),-1,-1;st_length(shape) "Geometria" false false true 0 Double 0 0 ,First,#,Database Connections\_134_juiz_fora_peus_super.sde\juiz_fora_peus.sde.TERRITORIAL\juiz_fora_peus.sde.ter_limites_bairros2,st_length(shape),-1,-1" #
CalculateField "Limites de Bairros" regiao_planejamento "Centro-Oeste" VB #
CalculateField "Limites de Bairros" bairro_dado_vinculado "-" VB #
CalculateField "Limites de Bairros" observacao "-" VB #
CalculateField "Limites de Bairros" qtd_inscricoes_vaf "-" VB #
CalculateField "Limites de Bairros" regiao_planejamento "Norte" VB #
CalculateField "Limites de Bairros" regiao_planejamento "Nordeste" VB #
CalculateField "Limites de Bairros" regiao_planejamento "Centro" VB #
CalculateField "Limites de Bairros" regiao_planejamento "Leste" VB #
CalculateField "Limites de Bairros" regiao_planejamento "Sudeste" VB #
CalculateField "Limites de Bairros" regiao_planejamento "Oeste" VB #
CopyFeatures C:\Users\sepur\Downloads\BANCO\P4_DADOS_PEUs_8.gdb\ter_limites_bairros C:\Users\sepur\AppData\Roaming\ESRI\Desktop10.8\ArcCatalog\SISURB_peus.sde\PEUS.produto_4_versao_final\PEUS.ter_limites_bairros # # # #
PEUS.ter_limites_bairros
Server=172.31.12.203; Service=sde:sqlserver:172.31.12.203,15010; Database=dbSIG; User=peus; Version=sde.DEFAULT
ArcSDE Connection
659377.411600
679562.200400
7585323.575900
7615307.419700
1
002
0.000
Geographic
GCS_SIRGAS_2000
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_SIRGAS_2000",DATUM["D_SIRGAS_2000",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433],AUTHORITY["EPSG",4674]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>8.983152841195215e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4674</WKID><LatestWKID>4674</LatestWKID></GeographicCoordinateSystem>
1.0
ISO 19139 Metadata Implementation Specification GML3.2
150000000
5000
ISO19139
PEUS.ter_limites_bairros
Feature Class
0
objectid
ID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Geometria
Geometry
8
0
0
Feature geometry.
ESRI
Coordinates defining the features.
nome
Nome
String
70
0
0
nro
Nro
Integer
4
10
0
observacao
Observação
String
255
0
0
fonte
Fonte
String
50
0
0
ano
Ano
String
50
0
0
qtd_inscricoes_vaf
Qtd.Inscrições.VAF
Integer
4
10
0
qtd_contrib_oficina_1_centro
Qtd.Contrib.Oficina.1.Centro
SmallInteger
2
5
0
qtd_contrib_oficina_2_oeste
Qtd.Contrib.Oficina.2.Oeste
SmallInteger
2
5
0
qtd_contrib_oficina_3_leste
Qtd.Contrib.Oficina.3.Leste
SmallInteger
2
5
0
qtd_contrib_oficina_4_nordeste
Qtd.Contrib.Oficina.4.Nordeste
SmallInteger
2
5
0
qtd_contrib_oficina_5_vilas_nu
Qtd.Contrib.Oficina.5.Vilas.Nuc.Urb
SmallInteger
2
5
0
qtd_contrib_oficina_6_n_co
Qtd.Contrib.Oficina.6.Vilas.Norte.Centroeste
SmallInteger
2
5
0
qtd_contrib_oficina_7_sudeste
Qtd.Contrib.Oficina.7.Sudeste
SmallInteger
2
5
0
vaf_2018
VAF.2018
Integer
4
10
0
vaf_2019
VAF.2019
Integer
4
10
0
vaf_2020
VAF.2020
Integer
4
10
0
vaf_2021
VAF.2021
Integer
4
10
0
vaf_2022
VAF.2022
Integer
4
10
0
bairro_dado_vinculado
Bairro.Dado.Vinculado
String
150
0
0
regiao_planejamento
Região.Planejamento
String
150
0
0
qtd_contrib_oficina_8_sul
Qtd.Contrib.Oficina.8.Sul
String
50
0
0
shape.STArea()
shape.STArea()
Double
0
0
0
shape.STLength()
shape.STLength()
Double
0
0
0
Hidrografia, Recursos Hídricos
Classe de feição (polígono) que delimita o conjunto das sub-bacias hidrográficas que se encontram na margem esquerda do Rio do Peixe alocadas dentro do perímetro municipal de Juiz de Fora.
Delimitar o conjunto das subbacias hidrográficas que se encontram na margem esquerda do Rio do Peixe alocadas dentro do perímetro municipal de Juiz de Fora.
ArcGIS Metadata
1.0
Classe de Feição SDE
unknown
SDE Feature Class
unknown
0.000
ter_limites_bairros
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Classe de feição (polígono) que delimita os bairros existentes dentro do perímetro urbano de Juiz de Fora de acordo com o PDDU (Plano Diretor de Desenvolvimento Urbano) (2000)</SPAN><SPAN>.</SPAN></P></DIV></DIV></DIV>
Delimitar os bairros existentes dentro do perímetro urbano de Juiz de Fora (PDDU 2000)
Dados encaminhados pela Prefeitura Municipal de Juiz de Fora em 2023.
dbsig.SIGPLAN.BAIRROS_PDDU [Fonte PDDU 2000]
Dado atualizado segundo os limites das Regiões de Planejamento.
[Fonte Anexo Nº 5 do PDP 2018]
PDDU,Limites, Território, Bairros, Zoneamento
PDDU | Limites | Território | Bairros | Zoneamento
Version 6.2 (Build 9200) ; Esri ArcGIS 10.5.0.6491
true
-43.460397
-43.262283
-21.82832
-21.555604
1
-43.460818
-43.262703
-21.556093
-21.828810
Classe de feição criada a partir de indicações locacionais estabelecidas no PDDU.
0
EPSG
7.8.3(9.2.0)
6.11(9.2.0)
Simple
FALSE
0
TRUE
FALSE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