read_biomes: Download spatial data of Brazilian biomes

View source: R/read_biomes.R

read_biomesR Documentation

Download spatial data of Brazilian biomes


This data set includes polygons of all biomes present in Brazilian territory and coastal area. The latest data set dates to 2019 and it is available at scale 1:250.000. The 2004 data set is at the scale 1:5.000.000. The original data comes from IBGE. More information at


read_biomes(year = 2019, simplified = TRUE, showProgress = TRUE)



Numeric. Year of the data in YYYY format. Defaults to 2019.


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.


Logical. Defaults to TRUE display progress bar.


An ⁠"sf" "data.frame"⁠ object

See Also

Other area functions: read_amazon(), read_capitals(), read_comparable_areas(), read_country(), read_disaster_risk_area(), read_health_facilities(), read_health_region(), read_immediate_region(), read_indigenous_land(), read_intermediate_region(), read_meso_region(), read_metro_area(), read_micro_region(), read_municipal_seat(), read_municipality(), read_neighborhood(), read_pop_arrangements(), read_region(), read_schools(), read_semiarid(), read_state(), read_statistical_grid(), read_urban_area(), read_urban_concentrations(), read_weighting_area()


# Read biomes
b <- read_biomes(year = 2019)

geobr documentation built on Sept. 21, 2023, 9:07 a.m.