20250530
08580400
1.0
FALSE
ibge_2018_regic_cidades
002
-2839475.803000
2203050.549000
6233605.421900
10603897.079800
1
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>
20250728
17500700
20250728
17500700
150000000
5000
ItemDescription
Esri ArcGIS 13.1.0.41833
Regiões de influência das Cidades (REGIC) [2018]
1
-78.441972
-26.952911
5.463480
-34.038227
Regiões de influência das cidades.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Camada de dados geográficos </SPAN><SPAN>que indicam as regiões de infl</SPAN><SPAN>uê</SPAN><SPAN>ncia</SPAN><SPAN /><SPAN>das cidades (REGIC) de 2018, em todo território Brasileiro.</SPAN></P><P><SPAN>O estudo sobre as Regiões de Influência das Cidades (REGIC) 2018 identifica e analisa a rede urbana brasileira, estabelecendo a hierarquia dos centros urbanos e as regiões de influência das cidades. O resultado mostra a forma pela qual as cidades se relacionam entre si, através do deslocamento de pessoas em busca de bens e serviços, bem como pelas ligações entre sedes e filiais de empresas e instituições públicas multilocalizadas</SPAN><SPAN>(Agência de Notícias IBGE 2020).</SPAN></P></DIV></DIV></DIV>
Fonte: Enviado pela Envex [2024]
IBGE
Regiões
influência
Cidades
REGIC
Enterprise Geodatabase Feature Class
dataset
EPSG
6.11(9.2.0)
0
Simple
FALSE
0
TRUE
FALSE
ibge_2018_regic_cidades
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.
id
id
Integer
4
10
0
nome_cidade
Nome.Cidade
String
254
0
0
cod_cidade
Cod.Cidade
String
254
0
0
label_1
Label.1
String
254
0
0
cod_uf
Cod.Uf
String
254
0
0
uf
UF
String
254
0
0
nivel
Nível
String
254
0
0
classe
Classe
String
254
0
0
c_gp
C.Gp
String
254
0
0
c_ge
C.Ge
String
254
0
0
c_gt
C.Gt
String
254
0
0
ia
Ia
Double
8
38
8
iat_q1
Iat.Q1
Double
8
38
8
iat_q2
Iat.Q2
Double
8
38
8
iat_q3
Iat.Q3
Double
8
38
8
iat_q4
Iat.Q4
Double
8
38
8
iat_q5
Iat.Q5
Double
8
38
8
iat_q6
Iat.Q6
Double
8
38
8
iat_q7
Iat.Q7
Double
8
38
8
iat_q8
Iat.Q8
Double
8
38
8
iat_q9
Iat.Q9
Double
8
38
8
iat_q10
Iat.Q10
Double
8
38
8
q9_sem_j_1
Q9.sem.j.1
String
254
0
0
ind_comer
Ind.Comer
Double
8
38
8
ind_serv
Ind.Serv
Double
8
38
8
ind_dcs
Ind.Dcs
Double
8
38
8
c_finan
C.Finan
Double
8
38
8
banc_bb
Banco.BB
Double
8
38
8
banc_brad
Banco.Brad
Double
8
38
8
banc_itau
Banc.Itau
Double
8
38
8
banc_sant
Banc.Sant
Double
8
38
8
banc_caix
Banc.Caix
Double
8
38
8
ens_grad
Ens.Grad
Double
8
38
8
ens_pos
Ens.Pos
Double
8
38
8
ens_ead
Ens.Ead
Double
8
38
8
sau_centra
Sau.Centra
Double
8
38
8
sau_comple
Sau.Comple
Double
8
38
8
sau_leit_1
Sau.Leit.1
Double
8
38
8
dom_hab
Dom.Hab
Double
8
38
8
dom_num
Dom.Num
Double
8
38
8
c_tv
C.Tv
Double
8
38
8
agro_iaa_q
Agro.Iaa.Q
Double
8
38
8
agro_iaa_1
Agro.Iaa.1
Double
8
38
8
agro_iaa_2
Agro.Iaa.2
Double
8
38
8
agro_iaa_3
Agro.Iaa.3
Double
8
38
8
inter
Inter
String
254
0
0
shape.STArea()
shape.STArea()
Double
0
0
0
shape.STLength()
shape.STLength()
Double
0
0
0
20250728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