20190424
11404300
1.0
North American Profile of ISO19115 2003
FALSE
gisdb.gisadmin.pelt_rede_multi_peso_2024_proj
002
-57.556899
-49.727658
-33.689548
-27.125964
1
Server=gisdb.pgsql-geo.hml.intra.rs.gov.br; Service=sde:postgresql:gisdb.pgsql-geo.hml.intra.rs.gov.br,6000; Database=gisdb; User=gisadmin; Version=sde.DEFAULT
ArcSDE Connection
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/10.6'><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>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>8.98315284119521e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4674</WKID><LatestWKID>4674</LatestWKID></GeographicCoordinateSystem>
20190627
13361600
20190627
13361600
150000000
5000
NAP
Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270
PELT_Rede_Multi_Peso_2024_proj
2017-03-01T00:00:00
external
984b97b034faeb5f165779be81ff7379
Equipe do PELT-RS
Equipe do PELT-RS
Secretaria de Logística e Transportes - RS
PELT-RS
Equipe do PELT-RS
True
Equipe do PELT-RS
1
-57.556899
-49.727658
-27.125964
-33.689548
Rede multimodal utilizada para modelagem do transporte de cargas PELT-RS 2014 com alocação de carga em toneladas/ano, conforme modelo desenvolvido para cenário de 2024 com implantação de projetos.
Secretaria de Logística e Transportes - RS
Modelagem de Transportes
Rede multimodal
PELT
external
984b97b034faeb5f165779be81ff7379
Equipe do PELT-RS
Equipe do PELT-RS
Secretaria de Logística e Transportes - RS
PELT-RS
Equipe do PELT-RS
True
Equipe do PELT-RS
external
984b97b034faeb5f165779be81ff7379
Equipe do PELT-RS
Equipe do PELT-RS
Secretaria de Logística e Transportes - RS
PELT-RS
Equipe do PELT-RS
True
Equipe do PELT-RS
Modelo produzido a partir da compilação das redes rodoviária, ferroviária e hidroviária existentes em 2014. Desenvolvido através do contrato com o Consórcio STE-SD-Dynatest entre 2015 e 2017.
SDE Feature Class
dataset
EPSG
7.8.3(9.2.0)
1618
Simple
FALSE
1618
TRUE
FALSE
gisdb.gisadmin.pelt_rede_multi_peso_2024_proj
Feature Class
1618
objectid
objectid
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
id
id
Integer
4
10
0
modo
modo
String
16
0
0
situacao
situacao
String
50
0
0
codigo
codigo
String
16
0
0
nome_via
nome_via
String
50
0
0
inicio
inicio
String
1073741822
0
0
final
final
String
1073741822
0
0
peso_ton_ano
peso_ton_ano
Double
8
38
8
intervencao
intervencao
String
30
0
0
ano_de_implantacao
ano_de_implantacao
String
16
0
0
shape
shape
Geometry
4
0
0
Feature geometry.
Esri
Coordinates defining the features.
st_length(shape)
st_length(shape)
Double
0
0
0
20190627
AFDA4681-933F-42A6-9558-8AA001DDA0A6
external
984b97b034faeb5f165779be81ff7379
Equipe do PELT-RS
Equipe do PELT-RS
Secretaria de Logística e Transportes - RS
PELT-RS
Equipe do PELT-RS
True
Equipe do PELT-RS
external
984b97b034faeb5f165779be81ff7379
Equipe do PELT-RS
Equipe do PELT-RS
Secretaria de Logística e Transportes - RS
PELT-RS
Equipe do PELT-RS
True
Equipe do PELT-RS
Modelo produzido a partir da compilação das redes rodoviária, ferroviária e hidroviária existentes em 2014. Desenvolvido através do contrato com o Consórcio STE-SD-Dynatest entre 2015 e 2017.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