{
  "_id": "6a10b149acfb0bcc41cc394a",
  "Type": "Package",
  "Package": "geobr",
  "Title": "Download Official Spatial Data Sets of Brazil",
  "Version": "2.0.0",
  "Authors@R": "c(person(given=\"Rafael H. M.\", family=\"Pereira\", email=\"rafa.pereira.br@gmail.com\", role=c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-2125-7465\")),\nperson(given=\"Rogério Jerônimo\", family=\"Barbosa\", role=c(\"aut\")),\nperson(given=\"Caio Nogueira\", family=\"Goncalves\", role=c(\"ctb\")),\nperson(given=\"Cecilia do\", family=\"Lago\", role=c(\"ctb\")),\nperson(given=\"Filipe\", family=\"Cavalcanti\", role=c(\"ctb\")),\nperson(given=\"Arthur\", family=\"Bazolli\", role=c(\"ctb\")),\nperson(given=\"Lucas\", family=\"Gelape\", role=c(\"ctb\")),\nperson(given=\"Rafael\", family=\"Lopes\", role=c(\"ctb\")),\nperson(given=\"Vinicius\", family=\"Oike\", role=c(\"ctb\")),\nperson(given=\"Paulo Henrique Fernandes de\", family=\"Araujo\", role=c(\"ctb\")),\nperson(given=\"Guilherme Duarte\", family=\"Carvalho\", role=c(\"ctb\")),\nperson(given=\"Rodrigo Almeida de\", family=\"Arruda\", role=c(\"ctb\")),\nperson(given=\"Igor\", family=\"Nascimento\", role=\"ctb\"),\nperson(given=\"Barbara Santiago Pedreira da \", family=\"Costa\", role=\"ctb\"),\nperson(given=\"Welligtton Silva\", family=\"Cavedo\", role=\"ctb\"),\nperson(given=\"Pedro R.\", family=\"Andrade\", role=\"ctb\"),\nperson(given=\"Alan da\", family=\"Silva\", role=\"ctb\"),\nperson(given=\"Carlos Kauê Vieira\", family=\"Braga\", role=\"ctb\"),\nperson(given=\"Carl\", family=\"Schmertmann\", role=\"ctb\"),\nperson(given=\"Alessandro\", family=\"Samuel-Rosa\", role=\"ctb\"),\nperson(given=\"Daniel\", family=\"Ferreira\", role=\"ctb\"),\nperson(given=\"Marcus\", family=\"Saraiva\", role=\"ctb\"),\nperson(given=\"Beatriz\", family=\"Milz\", , role = \"ctb\", comment = c(ORCID = \"0000-0002-3064-4486\")),\nperson(\"ITpS - Instituto Todos pela Saúde\", role = \"fnd\"),\nperson(\"Ipea - Institue for Applied Economic Research\", role = c(\"cph\", \"fnd\"))\n)",
  "URL": "https://ipeagit.github.io/geobr/, https://github.com/ipeaGIT/geobr",
  "BugReports": "https://github.com/ipeaGIT/geobr/issues",
  "Description": "Easy access to official spatial data sets of Brazil. The\npackage offers a wide range of spatial data sets available at\nvarious geographic scales and for various years with harmonized\nattributes, projection and fixed topology. All functions allow\nfor seamless integration sf, DuckDB and Arrow.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "LazyData": "TRUE",
  "RoxygenNote": "7.3.3",
  "Roxygen": "list(markdown = TRUE)",
  "VignetteBuilder": "knitr",
  "Config/pak/sysreqs": "libabsl-dev cmake libgdal-dev gdal-bin libgeos-dev\ngit make libicu-dev libuv1-dev libzstd-dev libssl-dev\nlibproj-dev libsqlite3-dev libudunits2-dev xz-utils",
  "Repository": "https://ipeagit.r-universe.dev",
  "Date/Publication": "2026-05-22 17:00:50 UTC",
  "RemoteUrl": "https://github.com/ipeaGIT/geobr",
  "RemoteRef": "HEAD",
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  "RemoteSubdir": "r-package",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-22 19:08:34 UTC",
    "User": "root"
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  "Author": "Rafael H. M. Pereira [aut, cre] (ORCID:\n<https://orcid.org/0000-0003-2125-7465>),\nRogério Jerônimo Barbosa [aut],\nCaio Nogueira Goncalves [ctb],\nCecilia do Lago [ctb],\nFilipe Cavalcanti [ctb],\nArthur Bazolli [ctb],\nLucas Gelape [ctb],\nRafael Lopes [ctb],\nVinicius Oike [ctb],\nPaulo Henrique Fernandes de Araujo [ctb],\nGuilherme Duarte Carvalho [ctb],\nRodrigo Almeida de Arruda [ctb],\nIgor Nascimento [ctb],\nBarbara Santiago Pedreira da Costa [ctb],\nWelligtton Silva Cavedo [ctb],\nPedro R. Andrade [ctb],\nAlan da Silva [ctb],\nCarlos Kauê Vieira Braga [ctb],\nCarl Schmertmann [ctb],\nAlessandro Samuel-Rosa [ctb],\nDaniel Ferreira [ctb],\nMarcus Saraiva [ctb],\nBeatriz Milz [ctb] (ORCID: <https://orcid.org/0000-0002-3064-4486>),\nITpS - Instituto Todos pela Saúde [fnd],\nIpea - Institue for Applied Economic Research [cph, fnd]",
  "Maintainer": "Rafael H. M. Pereira <rafa.pereira.br@gmail.com>",
  "MD5sum": "c47c82cbb32ad1e1663a80c1f63cea88",
  "_user": "ipeagit",
  "_type": "src",
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  "_created": "2026-05-22T19:08:34.000Z",
  "_published": "2026-05-22T19:40:57.104Z",
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  "_exports": [
    "cep_to_state",
    "list_geobr",
    "lookup_muni",
    "read_amazon",
    "read_biomes",
    "read_capitals",
    "read_census_tract",
    "read_comparable_areas",
    "read_conservation_units",
    "read_country",
    "read_disaster_risk_area",
    "read_favela",
    "read_health_facilities",
    "read_health_region",
    "read_immediate_region",
    "read_indigenous_land",
    "read_intermediate_region",
    "read_meso_region",
    "read_metro_area",
    "read_micro_region",
    "read_municipal_seat",
    "read_municipality",
    "read_neighborhood",
    "read_polling_places",
    "read_pop_arrangements",
    "read_quilombola_land",
    "read_region",
    "read_schools",
    "read_semiarid",
    "read_state",
    "read_statistical_grid",
    "read_urban_area",
    "read_urban_concentrations",
    "read_weighting_area",
    "remove_islands"
  ],
  "_datasets": [
    {
      "name": "grid_state_correspondence_table",
      "title": "A correspondence table indicating what quadrants of IBGE's statistical grid intersect with each Brazilian state",
      "object": "grid_state_correspondence_table",
      "class": [
        "data.frame"
      ],
      "fields": [
        "name_state",
        "abbrev_state",
        "code_grid"
      ],
      "rows": 139,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "cep_to_state",
      "title": "Determine the state of a given CEP postal code",
      "topics": [
        "cep_to_state"
      ]
    },
    {
      "page": "grid_state_correspondence_table",
      "title": "A correspondence table indicating what quadrants of IBGE's statistical grid intersect with each Brazilian state",
      "topics": [
        "grid_state_correspondence_table"
      ]
    },
    {
      "page": "list_geobr",
      "title": "List all data sets available in the geobr package",
      "topics": [
        "list_geobr"
      ]
    },
    {
      "page": "lookup_muni",
      "title": "Look up municipality codes and names",
      "topics": [
        "lookup_muni"
      ]
    },
    {
      "page": "read_amazon",
      "title": "Download spatial data of Brazil's Legal Amazon",
      "topics": [
        "read_amazon"
      ]
    },
    {
      "page": "read_biomes",
      "title": "Download spatial data of Brazilian biomes",
      "topics": [
        "read_biomes"
      ]
    },
    {
      "page": "read_capitals",
      "title": "Download data of state capitals",
      "topics": [
        "read_capitals"
      ]
    },
    {
      "page": "read_census_tract",
      "title": "Download spatial data of census tracts",
      "topics": [
        "read_census_tract"
      ]
    },
    {
      "page": "read_comparable_areas",
      "title": "Download spatial data of historically comparable municipalities",
      "topics": [
        "read_comparable_areas"
      ]
    },
    {
      "page": "read_conservation_units",
      "title": "Download spatial data of Brazilian environmental conservation units",
      "topics": [
        "read_conservation_units"
      ]
    },
    {
      "page": "read_country",
      "title": "Download spatial data of Brazil's national borders",
      "topics": [
        "read_country"
      ]
    },
    {
      "page": "read_disaster_risk_area",
      "title": "Download spatial data of disaster risk areas",
      "topics": [
        "read_disaster_risk_area"
      ]
    },
    {
      "page": "read_favela",
      "title": "Download spatial data of favelas and urban communities",
      "topics": [
        "read_favela"
      ]
    },
    {
      "page": "read_health_facilities",
      "title": "Download geolocated data of health facilities",
      "topics": [
        "read_health_facilities"
      ]
    },
    {
      "page": "read_health_region",
      "title": "Download spatial data of Brazilian health regions and health macro regions",
      "topics": [
        "read_health_region"
      ]
    },
    {
      "page": "read_immediate_region",
      "title": "Download spatial data of Brazil's Immediate Geographic Areas",
      "topics": [
        "read_immediate_region"
      ]
    },
    {
      "page": "read_indigenous_land",
      "title": "Download spatial data of indigenous lands in Brazil",
      "topics": [
        "read_indigenous_land"
      ]
    },
    {
      "page": "read_intermediate_region",
      "title": "Download spatial data of Brazil's Intermediate Geographic Areas",
      "topics": [
        "read_intermediate_region"
      ]
    },
    {
      "page": "read_meso_region",
      "title": "Download spatial data of meso regions",
      "topics": [
        "read_meso_region"
      ]
    },
    {
      "page": "read_metro_area",
      "title": "Download spatial data of official metropolitan areas in Brazil",
      "topics": [
        "read_metro_area"
      ]
    },
    {
      "page": "read_micro_region",
      "title": "Download spatial data of micro regions",
      "topics": [
        "read_micro_region"
      ]
    },
    {
      "page": "read_municipal_seat",
      "title": "Download spatial data of municipal seats (sede dos municipios) of Brazil",
      "topics": [
        "read_municipal_seat"
      ]
    },
    {
      "page": "read_municipality",
      "title": "Download spatial data of Brazilian municipalities",
      "topics": [
        "read_municipality"
      ]
    },
    {
      "page": "read_neighborhood",
      "title": "Download spatial data of neighborhood limits of Brazilian municipalities",
      "topics": [
        "read_neighborhood"
      ]
    },
    {
      "page": "read_polling_places",
      "title": "Download geolocated data of polling places",
      "topics": [
        "read_polling_places"
      ]
    },
    {
      "page": "read_pop_arrangements",
      "title": "Download population arrangements in Brazil",
      "topics": [
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      "source": "intro_to_geobr.Rmd",
      "filename": "intro_to_geobr.html",
      "title": "Introductio to geobr (R)",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Installation",
        "General usage",
        "Available data sets",
        "Basic syntax",
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        "Plot the data",
        "Lazy evaluation with DuckDB and Arrow",
        "Thematic maps",
        "Merge external data",
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        "Using geobr together with censobr"
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      "created": "2020-01-14 19:07:02",
      "modified": "2026-05-18 03:11:10",
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