read_conservation_units: Download spatial data of Brazilian environmental conservation...

View source: R/read_conservation_units.R

read_conservation_unitsR Documentation

Download spatial data of Brazilian environmental conservation units

Description

This data set covers the whole of Brazil and it includes the polygons of all conservation units present in Brazilian territory. The last update of the data was 09-2019. The original data comes from MMA and can be found at "http://mapas.mma.gov.br/i3geo/datadownload.htm".

Usage

read_conservation_units(date = 201909, simplified = TRUE, showProgress = TRUE)

Arguments

date

A date number in YYYYMM format. Defaults to 201909

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_country(), 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 conservation_units
b <- read_conservation_units(date = 201909)
}
## End(Not run)

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