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Address lookup API

Source: R/geo_address_lookup.R
geo_address_lookup.Rd

The lookup API allows to query the address and other details of one or multiple OSM objects like node, way or relation. This function returns the tibble associated with the query, see geo_address_lookup_sf() for retrieving the data as a spatial object (sf format).

Usage

geo_address_lookup(
  osm_ids,
  type = c("N", "W", "R"),
  lat = "lat",
  long = "lon",
  full_results = FALSE,
  return_addresses = TRUE,
  verbose = FALSE,
  nominatim_server = "https://nominatim.openstreetmap.org/",
  custom_query = list()
)

Arguments

osm_ids

Vector of OSM identifiers as numeric (c(00000, 11111, 22222)).

type

Vector character of the type of the OSM type associated to each osm_ids. Possible values are node ("N"), way ("W") or relation ("R"). If a single value is provided it would be recycled.

lat

Latitude column name in the output data (default "lat").

long

Longitude column name in the output data (default "long").

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_addresses

Return input addresses with results if TRUE.

verbose

If TRUE then detailed logs are output to the console.

nominatim_server

The URL of the Nominatim server to use. Defaults to "https://nominatim.openstreetmap.org/".

custom_query

A named list with API-specific parameters to be used (i.e. list(countrycodes = "US")). See Details.

Value

A tibble with the results found by the query.

Details

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

See also

geo_address_lookup_sf().

Address Lookup API: geo_address_lookup_sf()

Geocoding: geo_address_lookup_sf(), geo_amenity(), geo_amenity_sf(), geo_lite(), geo_lite_sf(), geo_lite_struct(), geo_lite_struct_sf()

Examples

# \donttest{
ids <- geo_address_lookup(osm_ids = c(46240148, 34633854), type = "W")

ids
#> # A tibble: 2 × 4
#>   query       lat   lon address                                                 
#>   <chr>     <dbl> <dbl> <chr>                                                   
#> 1 W46240148  40.8 -73.9 5th Avenue, East Harlem, Manhattan, New York County, Ci…
#> 2 W34633854  40.7 -74.0 Empire State Building, 350, 5th Avenue, Manhattan Commu…

several <- geo_address_lookup(c(146656, 240109189), type = c("R", "N"))
several
#> # A tibble: 2 × 4
#>   query        lat   lon address                                                
#>   <chr>      <dbl> <dbl> <chr>                                                  
#> 1 R146656     53.5 -2.25 Manchester, Greater Manchester, England, United Kingdom
#> 2 N240109189  52.5 13.4  Berlin, Deutschland                                    
# }