read_micro_region: Download spatial data of micro regions

View source: R/read_micro_region.R

read_micro_regionR Documentation

Download spatial data of micro regions


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


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



5-digit code of a micro 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 micro regions of that state. If code_micro="all", all micro regions of the country are loaded.


Year of the data. 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_meso_region(), read_municipality(), read_neighborhood(), read_region(), read_semiarid(), read_state(), read_statistical_grid(), read_weighting_area()


## Not run:  if (interactive()) {
# Read an specific micro region a given year
  micro <- read_micro_region(code_micro=11008, year=2018)

# Read micro regions of a state at a given year
  micro <- read_micro_region(code_micro=12, year=2017)
  micro <- read_micro_region(code_micro="AM", year=2000)

# Read all micro regions at a given year
  micro <- read_micro_region(code_micro="all", year=2010)
## End(Not run)

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