R
Easy access to official spatial data sets of Brazil in R (and soon in Python too)

geobr

geobr is a computational package to download official spatial data sets of Brazil. The package includes a wide range of geospatial data as simple features or geopackages, available at various geographic scales and for various years with harmonized attributes, projection and topology (see detailed list of available data sets below).

The package is currently available in R. The Python version is under development.

R	Python
	(under development)

Installation R

# From CRAN
  install.packages("geobr")
  library(geobr)

# or use the development version with latest features
  utils::remove.packages('geobr')
  devtools::install_github("ipeaGIT/geobr", subdir = "r-package")
  library(geobr)

obs. If you use Linux, you need to install a couple dependencies before installing the libraries sf and geobr. More info here.

Installation Python

under development

obs. If you use Linux, you need to install a couple dependencies before installing the libraries sf and geobr. More info here.

Basic Usage

The syntax of all geobr functions operate one the same logic so it becomes intuitive to download any data set using a single line of code. Like this:

# Read specific municipality at a given year
mun <- read_municipality(code_muni=1200179, year=2017)

# Read all municipalities of given state at a given year
mun <- read_municipality(code_muni=33, year=2010) # or
mun <- read_municipality(code_muni="RJ", year=2010)

# Read all municipalities in the country at a given year
mun <- read_municipality(code_muni="all", year=2018)

More examples here and in the intro Vignette

Available datasets:

Other functions:

Note 1. Data sets and Functions marked with "dev" are only available in the development version of geobr.

Note 2. All datasets use geodetic reference system "SIRGAS2000", CRS(4674). Most data sets are available at scale 1:250,000 (see documentation for details).

Coming soon:

'*' Longitudinal Database refers to áreas mínimas comparáveis (AMCs)

• Quadro geográfico de referência para produção, análise e disseminação de estatísticas
• Outros arquivos e recortes estão disponiveis em ftp://geoftp.ibge.gov.br/.

Contributing to geobr

If you would like to contribute to geobr and add new functions or data sets, please check this guide to propose your contribution.

Related projects

As of today, there are two other R packages with similar functionalities: simplefeaturesbr and brazilmaps. The geobr package has a few advantages when compared to these other packages, including for example:

• A same syntax structure across all functions, making the package very easy and intuitive to use
• Access to a wider range of official spatial data sets, such as states and municipalities, but also macro-, meso- and micro-regions, weighting areas, census tracts, urbanized areas, etc
• Access to shapefiles with updated geometries for various years
• Harmonized attributes and geographic projections across geographies and years

Credits

Original shapefiles are created by official government institutions. The geobr package is developed by a team at the Institute for Applied Economic Research (Ipea), Brazil. If you want to cite this package, you can cite it as:

• Pereira, R.H.M.; Gonçalves, C.N.; et. all (2019) geobr: Loads Shapefiles of Official Spatial Data Sets of Brazil. GitHub repository - https://github.com/ipeaGIT/geobr.