Get Brazilian municipalities geographic coordinates

get_brazil_municipality_coords() returns a tibble with the latitude and longitude coordinates of Brazilian municipalities.

Usage

get_brazil_municipality_coords(
  municipality_code = NULL,
  year = lubridate::year(Sys.Date()),
  coords_method = "geobr",
  force = FALSE
)

Arguments

municipality_code

(optional) An integerish vector with the IBGE codes of Brazilian municipalities. Use get_brazil_municipality_code() to obtain codes from municipality names and states. If NULL the function returns all municipalities (default: NULL).

year

(optional) An integerish number indicating the year of the data regarding the municipalities (default: Sys.Date() |> lubridate::year()).

coords_method

(optional) A string indicating the method to retrieve the latitude and longitude coordinates of the municipalities. Options are:

• "geobr": Uses read_municipal_seat() from the geobr package to retrieve the coordinates.

• "geocodebr": Uses the geocode() from the geocodebr package to retrieve the coordinates. (default: "geobr").

force

(optional) A logical flag indicating whether to force the download of the data again (default: FALSE).

Value

A tibble with the following columns:

• municipality_code: The municipality code.

• latitude: The municipality latitude.

• longitude: The municipality longitude.

Details

The data from this function is based on data from the Brazilian Institute of Geography and Statistics (IBGE) via the geobr and geocodebr R packages.

Both packages are produced by Brazil's Institute for Applied Economic Research (IPEA) and access the Brazilian Institute of Geography and Statistics (IBGE) data.

See also

Other Brazil functions: get_brazil_fu(), get_brazil_municipality(), get_brazil_municipality_code(), get_brazil_municipality_latitude(), get_brazil_municipality_longitude(), get_brazil_region(), get_brazil_region_code(), get_brazil_state(), get_brazil_state_by_utc(), get_brazil_state_capital(), get_brazil_state_code(), get_brazil_state_latitude(), get_brazil_state_longitude(), render_brazil_address()

Examples

get_brazil_municipality_coords() |> dplyr::glimpse()
#> ! The closest map year to 2025 is 2010. Using year 2010 instead.
#> Using year/date 2010
#> Rows: 5,565
#> Columns: 3
#> $ municipality_code <dbl> 1100015, 1100023, 1100031, 1100049, 1100056, 1100064…
#> $ latitude          <dbl> -11.935540, -9.908463, -13.499763, -11.433865, -13.1…
#> $ longitude         <dbl> -61.99982, -63.03327, -60.54431, -61.44294, -60.8184…

get_brazil_municipality_coords(municipality_code = 3550308)
#> ! The closest map year to 2025 is 2010. Using year 2010 instead.
#> Using year/date 2010
#> # A tibble: 1 × 3
#>   municipality_code latitude longitude
#>               <dbl>    <dbl>     <dbl>
#> 1           3550308    -23.6     -46.6

get_brazil_municipality_coords(municipality_code = 3550)
#> ! The closest map year to 2025 is 2010. Using year 2010 instead.
#> Using year/date 2010
#> # A tibble: 10 × 3
#>    municipality_code latitude longitude
#>                <dbl>    <dbl>     <dbl>
#>  1           3550001    -23.2     -45.3
#>  2           3550100    -22.7     -48.6
#>  3           3550209    -23.9     -48.0
#>  4           3550308    -23.6     -46.6
#>  5           3550407    -22.5     -47.9
#>  6           3550506    -22.8     -49.7
#>  7           3550605    -23.5     -47.1
#>  8           3550704    -23.8     -45.4
#>  9           3550803    -21.7     -46.8
#> 10           3550902    -21.5     -47.6

get_brazil_municipality_coords(municipality_code = c(3550308, 3304557))
#> ! The closest map year to 2025 is 2010. Using year 2010 instead.
#> Using year/date 2010
#> # A tibble: 2 × 3
#>   municipality_code latitude longitude
#>               <dbl>    <dbl>     <dbl>
#> 1           3304557    -22.9     -43.2
#> 2           3550308    -23.6     -46.6