Data at scale 1:250,000, using Geodetic reference system "SIRGAS2000" and CRS(4674)
read_state(
code_state = "all",
year = 2010,
simplified = TRUE,
showProgress = TRUE,
cache = TRUE
)The two-digit code of a state or a two-letter uppercase
abbreviation (e.g. 33 or "RJ"). If code_state="all" (the
default), the function downloads all states.
Numeric. Year of the data in YYYY format. Defaults to 2010.
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.
Logical. Whether the function should read the data cached
locally, which is faster. Defaults to cache = TRUE. By default,
geobr stores data files in a temporary directory that exists only
within each R session. If cache = FALSE, the function will download
the data again and overwrite the local file.
An "sf" "data.frame" object
Other area functions:
read_amazon(),
read_biomes(),
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_statistical_grid(),
read_urban_area(),
read_urban_concentrations(),
read_weighting_area()
# Read specific state at a given year
uf <- read_state(code_state=12, year=2017)
# Read specific state at a given year
uf <- read_state(code_state="SC", year=2000)
# Read all states at a given year
ufs <- read_state(code_state="all", year=2010)