read_country: Download spatial data of Brazil's national borders

View source: R/read_country.R

read_countryR Documentation

Download spatial data of Brazil's national borders

Description

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

Usage

read_country(year = 2010, simplified = TRUE, showProgress = TRUE)

Arguments

year

Year of the data. Defaults to 2010

simplified

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.

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_health_region(), read_immediate_region(), read_intermediate_region(), read_meso_region(), read_micro_region(), read_municipality(), read_neighborhood(), read_region(), read_semiarid(), read_state(), read_statistical_grid(), read_weighting_area()

Examples

## Not run:  if (interactive()) {
# Read specific year
br <- read_country(year = 2018)
}
## End(Not run)

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