R/read_immediate_region.R
read_immediate_region.RdThe Immediate Geographic Areas are part of the geographic division of Brazil created in 2017 by IBGE. These regions were created to replace the "Micro Regions" division. Data at scale 1:250,000, using Geodetic reference system "SIRGAS2000" and CRS(4674)
read_immediate_region(
code_immediate = "all",
year = 2019,
simplified = TRUE,
showProgress = TRUE,
cache = TRUE
)6-digit code of an immediate region. If the two-digit
code or a two-letter uppercase abbreviation of a state is passed, (e.g.
33 or "RJ") the function will load all immediate regions of that state.
If code_immediate="all" (Default), the function downloads all
immediate regions of the country.
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.
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_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 an specific immediate region
im <- read_immediate_region(code_immediate=110006)
# Read immediate regions of a state
im <- read_immediate_region(code_immediate=12)
im <- read_immediate_region(code_immediate="AM")
# Read all immediate regions of the country
im <- read_immediate_region()
im <- read_immediate_region(code_immediate="all")