read_municipality: Download shape files of Brazilian municipalities as sf...

In geobr: Loads Shapefiles of Official Spatial Data Sets of Brazil

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 code of a municipality. 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 municipalities of that state. If code_muni="all", all municipalities of the country will be loaded.
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 st_simplifysf preserving topology with a dTolerance of 100.
showProgress	Logical. Defaults to (TRUE) display progress bar

See Also

Other general area functions: read_amazon(), read_biomes(), read_census_tract(), 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

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)
  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)

geobr documentation built on Feb. 7, 2021, 1:06 a.m.