View source: R/reverse_geo_lite.R
| reverse_geo_lite | R Documentation | 
Generates an address from a latitude and longitude. Latitudes must be
between \left[-90, 90 \right] and longitudes between
\left[-180, 180 \right]. This function returns the
tibble associated with the query, see
reverse_geo_lite_sf() for retrieving the data as a spatial object
(sf format).
reverse_geo_lite(
  lat,
  long,
  address = "address",
  full_results = FALSE,
  return_coords = TRUE,
  verbose = FALSE,
  nominatim_server = "https://nominatim.openstreetmap.org/",
  progressbar = TRUE,
  custom_query = list()
)
| lat | Latitude values in numeric format. Must be in the range
 | 
| long | Longitude values in numeric format. Must be in the range
 | 
| address | Address column name in the output data (default   | 
| full_results | Returns all available data from the API service.
If  | 
| return_coords | Return input coordinates with results if  | 
| verbose | If  | 
| nominatim_server | The URL of the Nominatim server to use.
Defaults to  | 
| progressbar | Logical. If  | 
| custom_query | API-specific parameters to be used, passed as a named
list (ie.  | 
See https://nominatim.org/release-docs/develop/api/Reverse/ for additional
parameters to be passed to custom_query.
A tibble with the results found by the query.
Use the option custom_query = list(zoom = 3) to adjust the output. Some
equivalences on terms of zoom:
| zoom | address_detail | 
| 3 | country | 
| 5 | state | 
| 8 | county | 
| 10 | city | 
| 14 | suburb | 
| 16 | major streets | 
| 17 | major and minor streets | 
| 18 | building | 
reverse_geo_lite_sf(), tidygeocoder::reverse_geo().
Reverse geocoding coordinates: 
reverse_geo_lite_sf()
reverse_geo_lite(lat = 40.75728, long = -73.98586)
# Several coordinates
reverse_geo_lite(lat = c(40.75728, 55.95335), long = c(-73.98586, -3.188375))
# 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 = TRUE),
  verbose = TRUE, full_results = TRUE
)
dplyr::glimpse(sev)
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