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I# geobr

geobr is an R package that allows users to easily access shapefiles of the Brazilian Institute of Geography and Statistics (IBGE) and other official data basis of Brazil. The package includes a wide set of geographic datasets as simple features, availabe at various geographic scales and for various years (see detailed list below):

devtools::install_github("ipeaGIT/geobr")
library(geobr)

# Read specific municipality at a given year
  mun <- read_municipality(code_muni=1200179, year=2017)
  
  
# Read all municipalities of a state at a given year
  mun <- read_municipality(code_muni=33, year=2010)
  # alternatively
  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)

obs. Data sets at scale 1:250,000, using Geodetic reference system "SIRGAS2000" and CRS(4674).

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

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

The shape files are created by IBGE. 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.; Araujo, P.H.F. de; Carvalho, G.D.; Nascimento, I.; Arruda, R.A. de. (2019) geobr: an R package to easily access shapefiles of the Brazilian Institute of Geography and Statistics. GitHub repository - https://github.com/ipeaGIT/geobr.

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

• Access to a wider set of shapefiles, such as states and municipalities, but also macro-, meso- and micro-regions, weighting areas, census tracts, urbanized areas, etc
• Access to shape files with updated geometries for various years
• Harmonazied attributes and geographic projections across geographies and years