read_meso_region: Download spatial data of meso regions

View source: R/read_meso_region.R

read_meso_regionR Documentation

Download spatial data of meso regions


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


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



The 4-digit code of a meso region. If the two-digit code or a two-letter uppercase abbreviation of a state is passed, (e.g. 33 or "RJ") the function will load all meso regions of that state. If code_meso="all", all meso regions of the country are loaded.


A year number 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 general area functions: read_amazon(), read_biomes(), read_census_tract(), read_comparable_areas(), read_conservation_units(), read_country(), read_health_region(), read_immediate_region(), read_intermediate_region(), read_micro_region(), read_municipality(), read_neighborhood(), read_region(), read_semiarid(), read_state(), read_statistical_grid(), read_weighting_area()


## Not run:  if (interactive()) {
# Read specific meso region at a given year
  meso <- read_meso_region(code_meso=3301, year=2018)

# Read all meso regions of a state at a given year
  meso <- read_meso_region(code_meso=12, year=2017)
  meso <- read_meso_region(code_meso="AM", year=2000)

# Read all meso regions of the country at a given year
  meso <- read_meso_region(code_meso="all", year=2010)
## End(Not run)

geobr documentation built on Aug. 16, 2022, 9:05 a.m.