read_region: Download spatial data of Brazil Regions

View source: R/read_region.R

read_regionR Documentation

Download spatial data of Brazil Regions

Description

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

Usage

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

Examples

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

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