reverse: Reverse geocoding

Description

Reverse geocode a set of points to retrieve their corresponding place names. To geocode a place name or an address, see unstructured or structured geocoding.

Usage

reverse(
  .data,
  radius = NULL,
  limit = 1,
  lang = "en",
  osm_tag = NULL,
  layer = NULL,
  locbias = NULL,
  locbias_scale = NULL,
  zoom = NULL,
  distance_sort = TRUE,
  progress = interactive()
)

Value

An sf dataframe or tibble containing the following columns:

idx: Internal ID specifying the index of the texts parameter.
osm_type: Type of OSM element, one of N (node), W (way), R (relation), or P (polygon).
osm_id: OpenStreetMap ID of the matched element.
country: Country of the matched place.
city: City of the matched place.
osm_key: OpenStreetMap key.
countrycode: ISO2 country code.
housenumber: House number, if applicable.
postcode: Post code, if applicable.
locality: Locality, if applicable.
street: Street, if applicable.
district: District name, if applicable.
osm_value: OpenStreetMap tag value.
name: Place name.
type: Layer type as described for the layer parameter.
extent: Boundary box of the match.

Arguments

.data: A dataframe or list with names lon and lat, or an sfc or sf object containing point geometries.
radius: Numeric specifying the range around the points in .data that is used for searching.
limit: Number of results to return. A maximum of 50 results can be returned for a single search term. Defaults to 1. When more than a single text is provided but limit is greater than 1, the results can be uniquely linked to the input texts using the idx column in the output.
lang: Language of the results. If "default", returns the results in local language.
osm_tag: Character string giving an OSM tag to filter the results by. See details.
layer: Character string giving a layer to filter the results by. Can be one of "house", "street", "locality", "district", "city", "county", "state", "country", or "other".
locbias: Numeric vector of length 2 or any object that can be coerced to a length-2 numeric vector (e.g. a list or sfg object). Specifies a location bias for geocoding in the format c(lon, lat). Geocoding results are biased towards this point. The radius of the bias is controlled through zoom and the weight of place prominence through location_bias_scale.
locbias_scale: Numeric vector specifying the importance of prominence in locbias. A higher prominence scale gives more weight to important places. Possible values range from 0 to 1. Defaults to 0.2.
zoom: Numeric specifying the radius for which the locbias is effective. Corresponds to the zoom level in OpenStreetMap. The exact relation to locbias is \(0.25\text{ km} \cdot 2^{(18 - \text{zoom})}\). Defaults to 16.
distance_sort: If TRUE, sorts the reverse geocoding results based on the distance to the input point. Defaults to TRUE.
progress: If TRUE, shows a progress bar for longer queries.

Details

Filtering by OpenStreetMap tags follows a distinct syntax explained on https://github.com/komoot/photon. In particular:

Include places with tag: key:value
Exclude places with tag: !key:value
Include places with tag key: key
Include places with tag value: :value
Exclude places with tag key: !key
Exclude places with tag value: :!value

Examples

Run this code

# an instance must be mounted first
photon <- new_photon()

# works with sf objects
sf_data <- sf::st_sfc(sf::st_point(c(8, 52)), sf::st_point(c(7, 52)))
reverse(sf_data)

# ... but also with simple dataframes
df_data <- data.frame(lon = c(8, 7), lat = c(52, 52))
reverse(df_data)

# limit search radius to 10m
reverse(df_data, radius = 10)

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