Joins and plots
data("gini2015")
plot_brmap(
states,
data = gini2015,
by = c("state_code" = "cod"),
fill_by = "gini"
)
For full control, use the returned object directly with
ggplot2::geom_sf().
Every map returned by get_brmap() is installed with the
package. No example in this vignette accesses the network.
states <- get_brmap("state")
states
#> Simple feature collection with 27 features and 4 fields
#> Geometry type: MULTIPOLYGON
#> Dimension: XY
#> Bounding box: xmin: -73.98681 ymin: -33.75077 xmax: -28.84784 ymax: 5.26891
#> Geodetic CRS: SIRGAS 2000
#> First 10 features:
#> state_code name state_abbreviation region_code
#> 1 11 Rondônia RO 1
#> 2 12 Acre AC 1
#> 3 13 Amazonas AM 1
#> 4 14 Roraima RR 1
#> 5 15 Pará PA 1
#> 6 16 Amapá AP 1
#> 7 17 Tocantins TO 1
#> 8 21 Maranhão MA 2
#> 9 22 Piauí PI 2
#> 10 23 Ceará CE 2
#> geometry
#> 1 MULTIPOLYGON (((-66.62689 -...
#> 2 MULTIPOLYGON (((-73.79813 -...
#> 3 MULTIPOLYGON (((-73.79813 -...
#> 4 MULTIPOLYGON (((-63.37169 2...
#> 5 MULTIPOLYGON (((-58.13787 -...
#> 6 MULTIPOLYGON (((-54.87098 2...
#> 7 MULTIPOLYGON (((-50.511 -12...
#> 8 MULTIPOLYGON (((-48.75514 -...
#> 9 MULTIPOLYGON (((-45.72347 -...
#> 10 MULTIPOLYGON (((-41.32268 -...The default municipal map is the newest installed edition:
A named list can contain one or several constraints. Constraints are combined with AND, so the following result contains only municipalities that satisfy both conditions:
ms <- get_brmap(
"municipality",
filters = list(region = 5, state = 50)
)
unique(ms[c("region_code", "state_code")])
#> Simple feature collection with 79 features and 2 fields
#> Geometry type: MULTIPOLYGON
#> Dimension: XY
#> Bounding box: xmin: -58.16865 ymin: -24.06838 xmax: -50.92289 ymax: -17.16634
#> Geodetic CRS: SIRGAS 2000
#> First 10 features:
#> region_code state_code geometry
#> 5104 5 50 MULTIPOLYGON (((-52.36427 -...
#> 5105 5 50 MULTIPOLYGON (((-54.20297 -...
#> 5106 5 50 MULTIPOLYGON (((-54.81266 -...
#> 5107 5 50 MULTIPOLYGON (((-55.48613 -...
#> 5108 5 50 MULTIPOLYGON (((-52.3919 -2...
#> 5109 5 50 MULTIPOLYGON (((-53.58831 -...
#> 5110 5 50 MULTIPOLYGON (((-55.76672 -...
#> 5111 5 50 MULTIPOLYGON (((-51.03348 -...
#> 5112 5 50 MULTIPOLYGON (((-55.58711 -...
#> 5113 5 50 MULTIPOLYGON (((-55.07266 -...data("gini2015")
plot_brmap(
states,
data = gini2015,
by = c("state_code" = "cod"),
fill_by = "gini"
)
For full control, use the returned object directly with
ggplot2::geom_sf().
get_dtb(name = "Campo Grande")
#> code name level region_code region_name
#> 458 500001 Campo Grande immediate_region 5 Centro-Oeste
#> 629 5001 Campo Grande intermediate_region 5 Centro-Oeste
#> 1290 50004 Campo Grande microregion 5 Centro-Oeste
#> 2426 2401305 Campo Grande municipality 2 Nordeste
#> 3004 2701506 Campo Grande municipality 2 Nordeste
#> 6461 5002704 Campo Grande municipality 5 Centro-Oeste
#> state_code state_name microregion_code microregion_name
#> 458 50 Mato Grosso do Sul NA <NA>
#> 629 50 Mato Grosso do Sul NA <NA>
#> 1290 50 Mato Grosso do Sul 50004 Campo Grande
#> 2426 24 Rio Grande do Norte 24003 Médio Oeste
#> 3004 27 Alagoas 27006 Arapiraca
#> 6461 50 Mato Grosso do Sul 50004 Campo Grande
#> mesoregion_code mesoregion_name immediate_region_code
#> 458 NA <NA> 500001
#> 629 NA <NA> NA
#> 1290 5002 Centro Norte de Mato Grosso do Sul NA
#> 2426 2401 Oeste Potiguar 240009
#> 3004 2702 Agreste Alagoano 270007
#> 6461 5002 Centro Norte de Mato Grosso do Sul 500001
#> immediate_region_name intermediate_region_code intermediate_region_name
#> 458 Campo Grande 5001 Campo Grande
#> 629 <NA> 5001 Campo Grande
#> 1290 <NA> NA <NA>
#> 2426 Mossoró 2403 Mossoró
#> 3004 Arapiraca 2702 Arapiraca
#> 6461 Campo Grande 5001 Campo Grande
#> municipality_code municipality_name
#> 458 NA <NA>
#> 629 NA <NA>
#> 1290 NA <NA>
#> 2426 2401305 Campo Grande
#> 3004 2701506 Campo Grande
#> 6461 5002704 Campo Grande
get_dtb_levels(
c("municipality", "immediate_region"),
filters = list(state = 50)
)
#> municipality_code municipality_name immediate_region_code
#> 6442 5000203 Água Clara 500002
#> 6443 5000252 Alcinópolis 500004
#> 6444 5000609 Amambai 500009
#> 6445 5000708 Anastácio 500012
#> 6446 5000807 Anaurilândia 500007
#> 6447 5000856 Angélica 500007
#> 6448 5000906 Antônio João 500008
#> 6449 5001003 Aparecida do Taboado 500003
#> 6450 5001102 Aquidauana 500012
#> 6451 5001243 Aral Moreira 500008
#> 6452 5001508 Bandeirantes 500001
#> 6453 5001904 Bataguassu 500002
#> 6454 5002001 Batayporã 500007
#> 6455 5002100 Bela Vista 500011
#> 6456 5002159 Bodoquena 500012
#> 6457 5002209 Bonito 500011
#> 6458 5002308 Brasilândia 500002
#> 6459 5002407 Caarapó 500005
#> 6460 5002605 Camapuã 500001
#> 6461 5002704 Campo Grande 500001
#> 6462 5002803 Caracol 500011
#> 6463 5002902 Cassilândia 500003
#> 6464 5002951 Chapadão do Sul 500003
#> 6465 5003108 Corguinho 500001
#> 6466 5003157 Coronel Sapucaia 500009
#> 6467 5003207 Corumbá 500010
#> 6468 5003256 Costa Rica 500004
#> 6469 5003306 Coxim 500004
#> 6470 5003454 Deodápolis 500005
#> 6471 5003488 Dois Irmãos do Buriti 500001
#> 6472 5003504 Douradina 500005
#> 6473 5003702 Dourados 500005
#> 6474 5003751 Eldorado 500006
#> 6475 5003801 Fátima do Sul 500005
#> 6476 5003900 Figueirão 500004
#> 6477 5004007 Glória de Dourados 500005
#> 6478 5004106 Guia Lopes da Laguna 500011
#> 6479 5004304 Iguatemi 500006
#> 6480 5004403 Inocência 500003
#> 6481 5004502 Itaporã 500005
#> 6482 5004601 Itaquiraí 500006
#> 6483 5004700 Ivinhema 500007
#> 6484 5004809 Japorã 500006
#> 6485 5004908 Jaraguari 500001
#> 6486 5005004 Jardim 500011
#> 6487 5005103 Jateí 500005
#> 6488 5005152 Juti 500005
#> 6489 5005202 Ladário 500010
#> 6490 5005251 Laguna Carapã 500005
#> 6491 5005400 Maracaju 500005
#> 6492 5005608 Miranda 500012
#> 6493 5005681 Mundo Novo 500006
#> 6494 5005707 Naviraí 500006
#> 6495 5005806 Nioaque 500011
#> 6496 5006002 Nova Alvorada do Sul 500001
#> 6497 5006200 Nova Andradina 500007
#> 6498 5006259 Novo Horizonte do Sul 500007
#> 6499 5006275 Paraíso das Águas 500003
#> 6500 5006309 Paranaíba 500003
#> 6501 5006358 Paranhos 500009
#> 6502 5006408 Pedro Gomes 500004
#> 6503 5006606 Ponta Porã 500008
#> 6504 5006903 Porto Murtinho 500011
#> 6505 5007109 Ribas do Rio Pardo 500001
#> 6506 5007208 Rio Brilhante 500005
#> 6507 5007307 Rio Negro 500001
#> 6508 5007406 Rio Verde de Mato Grosso 500004
#> 6509 5007505 Rochedo 500001
#> 6510 5007554 Santa Rita do Pardo 500002
#> 6511 5007695 São Gabriel do Oeste 500001
#> 6512 5007703 Sete Quedas 500009
#> 6513 5007802 Selvíria 500002
#> 6514 5007901 Sidrolândia 500001
#> 6515 5007935 Sonora 500004
#> 6516 5007950 Tacuru 500009
#> 6517 5007976 Taquarussu 500007
#> 6518 5008008 Terenos 500001
#> 6519 5008305 Três Lagoas 500002
#> 6520 5008404 Vicentina 500005
#> immediate_region_name
#> 6442 Três Lagoas
#> 6443 Coxim
#> 6444 Amambai
#> 6445 Aquidauana - Anastácio
#> 6446 Nova Andradina
#> 6447 Nova Andradina
#> 6448 Ponta Porã
#> 6449 Paranaíba - Chapadão do Sul - Cassilândia
#> 6450 Aquidauana - Anastácio
#> 6451 Ponta Porã
#> 6452 Campo Grande
#> 6453 Três Lagoas
#> 6454 Nova Andradina
#> 6455 Jardim
#> 6456 Aquidauana - Anastácio
#> 6457 Jardim
#> 6458 Três Lagoas
#> 6459 Dourados
#> 6460 Campo Grande
#> 6461 Campo Grande
#> 6462 Jardim
#> 6463 Paranaíba - Chapadão do Sul - Cassilândia
#> 6464 Paranaíba - Chapadão do Sul - Cassilândia
#> 6465 Campo Grande
#> 6466 Amambai
#> 6467 Corumbá
#> 6468 Coxim
#> 6469 Coxim
#> 6470 Dourados
#> 6471 Campo Grande
#> 6472 Dourados
#> 6473 Dourados
#> 6474 Naviraí - Mundo Novo
#> 6475 Dourados
#> 6476 Coxim
#> 6477 Dourados
#> 6478 Jardim
#> 6479 Naviraí - Mundo Novo
#> 6480 Paranaíba - Chapadão do Sul - Cassilândia
#> 6481 Dourados
#> 6482 Naviraí - Mundo Novo
#> 6483 Nova Andradina
#> 6484 Naviraí - Mundo Novo
#> 6485 Campo Grande
#> 6486 Jardim
#> 6487 Dourados
#> 6488 Dourados
#> 6489 Corumbá
#> 6490 Dourados
#> 6491 Dourados
#> 6492 Aquidauana - Anastácio
#> 6493 Naviraí - Mundo Novo
#> 6494 Naviraí - Mundo Novo
#> 6495 Jardim
#> 6496 Campo Grande
#> 6497 Nova Andradina
#> 6498 Nova Andradina
#> 6499 Paranaíba - Chapadão do Sul - Cassilândia
#> 6500 Paranaíba - Chapadão do Sul - Cassilândia
#> 6501 Amambai
#> 6502 Coxim
#> 6503 Ponta Porã
#> 6504 Jardim
#> 6505 Campo Grande
#> 6506 Dourados
#> 6507 Campo Grande
#> 6508 Coxim
#> 6509 Campo Grande
#> 6510 Três Lagoas
#> 6511 Campo Grande
#> 6512 Amambai
#> 6513 Três Lagoas
#> 6514 Campo Grande
#> 6515 Coxim
#> 6516 Amambai
#> 6517 Nova Andradina
#> 6518 Campo Grande
#> 6519 Três Lagoas
#> 6520 Douradosmicroregion and mesoregion are retained as
discontinued historical IBGE divisions. immediate_region
and intermediate_region are the current regional
divisions.
Legacy sp output remains available with
output = "sp" when package sp is installed.
New code should use the default sf output.