geobr (version 1.6)

read_municipality: Download spatial data of Brazilian municipalities

Description

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

Usage

read_municipality(
  code_muni = "all",
  year = 2010,
  simplified = TRUE,
  showProgress = TRUE
)

Arguments

code_muni

The 7-digit identification code of a municipality. If code_muni = "all" (default), all municipalities of the country will be downloaded. Alternatively, if the two-digit identification code or a two-letter uppercase abbreviation of a state is passed, e.g. 33 or "RJ", all municipalities of that state will be downloaded. Municipality identification codes are defined in https://www.ibge.gov.br/explica/codigos-dos-municipios.php.

year

Year of the data. Defaults to 2010.

simplified

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

showProgress

Logical. Defaults to TRUE display progress bar

Value

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_micro_region(), read_neighborhood(), read_region(), read_semiarid(), read_state(), read_statistical_grid(), read_weighting_area()

Examples

# NOT RUN {
 if (interactive()) {
# 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)
mun <- read_municipality(code_muni = "RJ", year = 2010)

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