read_state: Download spatial data of Brazilian states

View source: R/read_state.R

read_stateR Documentation

Download spatial data of Brazilian states


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


  code_state = "all",
  year = 2010,
  simplified = TRUE,
  showProgress = TRUE



The two-digit code of a state or a two-letter uppercase abbreviation (e.g. 33 or "RJ"). If code_state="all" (the default), the function downloads all states.


Numeric. Year of the data in YYYY format. Defaults to 2010.


Logic FALSE or TRUE, indicating whether the function should return the data set with 'original' spatial resolution or a data set with 'simplified' geometry. Defaults to TRUE. For spatial analysis and statistics users should set simplified = FALSE. Borders have been simplified by removing vertices of borders using ⁠st_simplify{sf}⁠ preserving topology with a dTolerance of 100.


Logical. Defaults to TRUE display progress bar.


An ⁠"sf" "data.frame"⁠ object

See Also

Other area functions: read_amazon(), read_biomes(), read_capitals(), read_comparable_areas(), read_country(), read_disaster_risk_area(), 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_pop_arrangements(), read_region(), read_schools(), read_semiarid(), read_statistical_grid(), read_urban_area(), read_urban_concentrations(), read_weighting_area()


# Read specific state at a given year
  uf <- read_state(code_state=12, year=2017)

# Read specific state at a given year
  uf <- read_state(code_state="SC", year=2000)

# Read all states at a given year
  ufs <- read_state(code_state="all", year=2010)

geobr documentation built on Sept. 21, 2023, 9:07 a.m.