Learn R Programming

geobr (version 1.5)

read_conservation_units: Download official data of Brazilian conservation untis as an sf object.

Description

This data set covers the whole of Brazil and it includes the polygons of all conservation untis 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 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_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

Run this code
# NOT RUN {
library(geobr)

# Read conservation_units
  b <- read_conservation_units(date=201909)
# }

Run the code above in your browser using DataLab