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Generates an address from a latitude and longitude. Latitudes must be between [-90, 90] and longitudes between [-180, 180]. This function returns the tibble associated with the query, see reverse_geo_lite_sf() for retrieving the data as a spatial object (sf) format).

Usage

reverse_geo_lite(
  lat,
  long,
  address = "address",
  full_results = FALSE,
  return_coords = TRUE,
  verbose = FALSE,
  progressbar = TRUE,
  custom_query = list()
)

Arguments

lat

latitude values in numeric format. Must be in the range [-90, 90].

long

longitude values in numeric format. Must be in the range [-180, 180].

address

address column name in the output data (default "address").

full_results

returns all available data from the API service. If FALSE (default) only latitude, longitude and address columns are returned. See also return_addresses.

return_coords

return input coordinates with results if TRUE.

verbose

if TRUE then detailed logs are output to the console.

progressbar

Logical. If TRUE displays a progress bar to indicate the progress of the function.

custom_query

API-specific parameters to be used, passed as a named list (ie. list(zoom = 3)). See Details.

Value

A tibble with the results.

Details

See https://nominatim.org/release-docs/develop/api/Reverse/ for additional parameters to be passed to custom_query.

About Zooming

Use the option custom_query = list(zoom = 3) to adjust the output. Some equivalences on terms of zoom:

zoomaddress_detail
3country
5state
8county
10city
14suburb
16major streets
17major and minor streets
18building

See also

Examples

# \donttest{

reverse_geo_lite(lat = 40.75728, long = -73.98586)
#> # A tibble: 1 × 3
#>   address                                                              lat   lon
#>   <chr>                                                              <dbl> <dbl>
#> 1 Times Square, 7th Avenue, Manhattan Community Board 5, Manhattan,…  40.8 -74.0

# Several coordinates
reverse_geo_lite(lat = c(40.75728, 55.95335), long = c(-73.98586, -3.188375))
#> 
  |                                                        
  |                                                  |   0%
  |                                                        
  |=========================                         |  50%
  |                                                        
  |==================================================| 100%
#> # A tibble: 2 × 3
#>   address                                                             lat    lon
#>   <chr>                                                             <dbl>  <dbl>
#> 1 Times Square, 7th Avenue, Manhattan Community Board 5, Manhattan…  40.8 -74.0 
#> 2 Edinburgh Distance Marker, Waterloo Place, Greenside, New Town/B…  56.0  -3.19

# With options: zoom to country level
sev <- reverse_geo_lite(
  lat = c(40.75728, 55.95335), long = c(-73.98586, -3.188375),
  custom_query = list(zoom = 0, extratags = 1),
  verbose = TRUE, full_results = TRUE
)
#> 
  |                                                        
  |                                                  |   0%
  |                                                        
  |=========================                         |  50%
  |                                                        
  |==================================================| 100%

dplyr::glimpse(sev)
#> Rows: 2
#> Columns: 47
#> $ address                        <chr> "United States", "United Kingdom"
#> $ lat                            <dbl> 39.78373, 54.70235
#> $ lon                            <dbl> -100.445882, -3.276575
#> $ place_id                       <int> 77249893, 269356315
#> $ licence                        <chr> "Data © OpenStreetMap contributors, ODb…
#> $ osm_type                       <chr> "relation", "relation"
#> $ osm_id                         <int> 148838, 62149
#> $ class                          <chr> "boundary", "boundary"
#> $ type                           <chr> "administrative", "administrative"
#> $ place_rank                     <int> 4, 4
#> $ importance                     <dbl> 0.9356914, 0.8723780
#> $ addresstype                    <chr> "country", "country"
#> $ name                           <chr> "United States", "United Kingdom"
#> $ country                        <chr> "United States", "United Kingdom"
#> $ country_code                   <chr> "us", "gb"
#> $ flag                           <chr> "https://upload.wikimedia.org/wikipedia…
#> $ sqkm                           <chr> "9826675", "243610"
#> $ wikidata                       <chr> "Q30", "Q145"
#> $ wikipedia                      <chr> "en:United States", "en:United Kingdom"
#> $ population                     <chr> "331449281", "61792000"
#> $ border_type                    <chr> "national", NA
#> $ capital_city                   <chr> "Washington DC", NA
#> $ linked_place                   <chr> "country", "country"
#> $ `contact:website`              <chr> "https://www.usa.gov", NA
#> $ `population:date`              <chr> "2020", NA
#> $ `ISO3166-1:alpha2`             <chr> "US", "GB"
#> $ `ISO3166-1:alpha3`             <chr> "USA", "GBR"
#> $ default_language               <chr> "en", "en"
#> $ `ISO3166-1:numeric`            <chr> "840", "826"
#> $ `alt_short_name:en`            <chr> "US", NA
#> $ `alt_short_name:pl`            <chr> "St. Zj.", NA
#> $ country_code_fips              <chr> "US", NA
#> $ `old_short_name:ru`            <chr> "САСШ", NA
#> $ `source:population`            <chr> "census.gov", "http://www.statistics.go…
#> $ `not:official_name:vi`         <chr> "Hợp chủng quốc Hoa Kỳ;Hợp chúng quốc H…
#> $ country_code_iso3166_1_alpha_2 <chr> "US", NA
#> $ boundingbox                    <list> <-14.76084, 71.58895, -180.00000, 180.0…
#> $ `ref:gss`                      <chr> NA, "K02000001"
#> $ currency                       <chr> NA, "GBP"
#> $ timezone                       <chr> NA, "Europe/London"
#> $ native_name                    <chr> NA, "United Kingdom of Great Britain an…
#> $ `source:sqkm`                  <chr> NA, "CIA World Factbook"
#> $ driving_side                   <chr> NA, "left"
#> $ `native_name:da`               <chr> NA, "Det Forenede Kongerige Storbritann…
#> $ `native_name:es`               <chr> NA, "Reino Unido de Gran Bretaña e Irla…
#> $ `native_name:vi`               <chr> NA, "Vương quốc Liên hiệp Anh và Bắc Ir…
#> $ `source:ref:gss`               <chr> NA, "ONS_OpenData"
# }