R/read_statistical_grid.R
read_statistical_grid.RdData at scale 1:250,000, using Geodetic reference system "SIRGAS2000" and CRS(4674)
read_statistical_grid(
code_grid,
year = 2010,
showProgress = TRUE,
cache = TRUE
)If two-letter abbreviation or two-digit code of a state is
passed, the function will load all grid quadrants that
intersect with that state. If code_grid="all", the grid of
the whole country will be loaded. Users may also pass a
grid quadrant id to load an specific quadrant. Quadrant ids
can be consulted at geobr::grid_state_correspondence_table.
Numeric. Year of the data in YYYY format. Defaults to 2010. The
only year available thus far is 2010.
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_state(),
read_urban_area(),
read_urban_concentrations(),
read_weighting_area()
# Read a particular grid at a given year
grid <- read_statistical_grid(code_grid = 45, year=2010)
# Read the grid covering a given state at a given year
state_grid <- read_statistical_grid(code_grid = "RJ")