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Download spatial data of census weighting areas

Source: R/read_weighting_area.R
read_weighting_area.Rd

Data of Census Weighting Areas (area de ponderação) of the Brazilian Population Census

Usage

read_weighting_area(
  year,
  code_weighting = "all",
  simplified = TRUE,
  output = "sf",
  showProgress = TRUE,
  cache = TRUE,
  verbose = TRUE
)

Arguments

year

Numeric. Year of the data in YYYY format. It defaults to NULL and reads the data from the latest year available.

code_weighting

The 7-digit code of a Municipality. 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 weighting areas of that state. If code_weighting="all" (the default), all weighting areas of the country are loaded.

simplified

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.

output

String. Type of object returned by the function. Defaults to "sf", which loads the data into memory as an sf object. Alternatively, "duckdb" returns a lazy spatial table backed by DuckDB via the duckspatial package, and "arrow" returns an Arrow dataset. Both "duckdb" and "arrow" support out-of-memory processing of large data sets.

showProgress

Logical. Defaults to TRUE display progress bar.

cache

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.

verbose

A logical. If TRUE (the default), the function prints informative messages and shows download progress bar. If FALSE, the function is silent.

Value

An "sf" "data.frame" OR an ArrowObject

Examples

# Read specific weighting area at a given year
w <- read_weighting_area(
  code_weighting = 5201108005004,
  year = 2010
  )
#> ℹ Using year/date 2010

# Read all weighting areas of a state at a given year
w <- read_weighting_area(
  code_weighting = "DF",
  year = 2010
  )
#> ℹ Using year/date 2010

# Read all weighting areas of a municipality at a given year
w <- read_weighting_area(
  code_weighting = 5201108,
  year = 2010
  )
#> ℹ Using year/date 2010

# Read all weighting areas of the country at a given year
w <- read_weighting_area(
  code_weighting = "all",
  year = 2010
  )
#> ℹ Using year/date 2010