Download cities with population 5000

Download cities with population 5000 information from geonames.

download_cities_with_population_5000()

Details

It returns a tibble with all the data

See also

<https://github.com/jrosell/rreversegeocoder/blob/main/R/cities.R>

Examples

download_cities_with_population_5000()
#> # A tibble: 53,234 × 19
#>    geonameid name  ascii…¹ alter…² geona…³ geona…⁴ featu…⁵ feature country cc2  
#>    <chr>     <chr> <chr>   <chr>     <dbl>   <dbl> <chr>   <chr>   <chr>   <chr>
#>  1 3039163   Sant… Sant J… San Ju…    42.5    1.49 P       PPLA    AD      NA   
#>  2 3039678   Ordi… Ordino  Ordino…    42.6    1.53 P       PPLA    AD      NA   
#>  3 3040051   les … les Es… Ehskal…    42.5    1.53 P       PPLA    AD      NA   
#>  4 3040132   la M… la Mas… La Mac…    42.5    1.51 P       PPLA    AD      NA   
#>  5 3040686   Enca… Encamp  Ehnkam…    42.5    1.58 P       PPLA    AD      NA   
#>  6 3041204   Cani… Canillo Canill…    42.6    1.60 P       PPLA    AD      NA   
#>  7 3041563   Ando… Andorr… ALV,An…    42.5    1.52 P       PPLC    AD      NA   
#>  8 290594    Umm … Umm Al… Oumm a…    25.6   55.6  P       PPLA    AE      NA   
#>  9 291074    Ras … Ras Al… Julfa,…    25.8   55.9  P       PPLA    AE      NA   
#> 10 291279    Muza… Muzayr… Mezair…    23.1   53.8  P       PPL     AE      NA   
#> # … with 53,224 more rows, 9 more variables: admin1 <chr>, admin2 <chr>,
#> #   admin3 <chr>, admin4 <chr>, population <dbl>, elevation <dbl>, dem <dbl>,
#> #   timezone <chr>, mdate <date>, and abbreviated variable names ¹​asciiname,
#> #   ²​alternatenames, ³​geoname_latitude, ⁴​geoname_longitude, ⁵​feature_class