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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 spatial object associated with the query using sf, see geo_address_lookup() for retrieving the data in tibble format.

Usage

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

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.

full_results

returns all available data from the API service. If FALSE (default) only 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.

points_only

Logical TRUE/FALSE. Whether to return only spatial points (TRUE, which is the default) or potentially other shapes as provided by the Nominatim API (FALSE). See About Geometry Types.

Value

A sf object with the results.

Details

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

About Geometry Types

The parameter points_only specifies whether the function results will be points (all Nominatim results are guaranteed to have at least point geometry) or possibly other spatial objects.

Note that the type of geometry returned in case of points_only = FALSE will depend on the object being geocoded:

  • Administrative areas, major buildings and the like will be returned as polygons.

  • Rivers, roads and their like as lines.

  • Amenities may be points even in case of a points_only = FALSE call.

The function is vectorized, allowing for multiple addresses to be geocoded; in case of points_only = FALSE multiple geometry types may be returned.

See also

Examples

# \donttest{
# Notre Dame Cathedral, Paris

NotreDame <- geo_address_lookup_sf(osm_ids = 201611261, type = "W")

# Need at least one non-empty object
if (any(!sf::st_is_empty(NotreDame))) {
  library(ggplot2)

  ggplot(NotreDame) +
    geom_sf()
}


NotreDame_poly <- geo_address_lookup_sf(201611261,
  type = "W",
  points_only = FALSE
)


if (any(!sf::st_is_empty(NotreDame_poly))) {
  ggplot(NotreDame_poly) +
    geom_sf()
}


# It is vectorized

several <- geo_address_lookup_sf(c(146656, 240109189), type = c("R", "N"))
several
#> Simple feature collection with 2 features and 2 fields
#> Geometry type: POINT
#> Dimension:     XY
#> Bounding box:  xmin: -2.245115 ymin: 52.51704 xmax: 13.38886 ymax: 53.47949
#> Geodetic CRS:  WGS 84
#> # A tibble: 2 × 3
#>   query      address                                               geometry
#> * <chr>      <chr>                                              <POINT [°]>
#> 1 R146656    Manchester, Greater Manchester, England,… (-2.245115 53.47949)
#> 2 N240109189 Berlin, 10117, Deutschland                 (13.38886 52.51704)
# }