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Download spatial data of census tracts of the Brazilian Population Census

Source: R/read_census_tract.R
read_census_tract.Rd

Download spatial data of census tracts of the Brazilian Population Census

Usage

read_census_tract(
  code_tract,
  year = 2010,
  zone = "urban",
  simplified = TRUE,
  showProgress = TRUE,
  cache = TRUE
)

Arguments

code_tract

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 census tracts of that state. If code_tract="all", the function downloads all census tracts of the country.

year

Numeric. Year of the data in YYYY format. Defaults to 2010.

zone

For census tracts before 2010, 'urban' and 'rural' census tracts are separate data sets.

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.

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.

Value

An "sf" "data.frame" object

See also

Other general area functions: read_conservation_units()

Examples

# Read rural census tracts for years before 2007
  c <- read_census_tract(code_tract=5201108, year=2000, zone="rural")
#> Using year/date 2000
#> Using data of Rural census tracts

# Read all census tracts of a state at a given year
  c <- read_census_tract(code_tract=53, year=2010) # or
#> Using year/date 2010
  c <- read_census_tract(code_tract="DF", year=2010)
#> Using year/date 2010
  plot(c)
#> Warning: plotting the first 10 out of 11 attributes; use max.plot = 11 to plot all


# Read all census tracts of a municipality at a given year
  c <- read_census_tract(code_tract=5201108, year=2010)
#> Using year/date 2010
  plot(c)
#> Warning: plotting the first 9 out of 11 attributes; use max.plot = 11 to plot all


# Read all census tracts of the country at a given year
  c <- read_census_tract(code_tract="all", year=2010)
#> Using year/date 2010
#> Loading data for the whole country. This might take a few minutes.