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().
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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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.