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photon

R-CMD-check R-hub CRAN status Project Status: Active – The project has reached a stable, usable state and is being actively developed. Codecov test coverage CodeFactor

{photon} is a simple interface and setup manager of the photon OpenStreetMap geocoder. It features unstructured, structured, and reverse geocoding. The package allows requests to the public API but shines at setting up local instances to enable high-performance offline geocoding.

Installation

To install the package from CRAN:

install.packages("photon")

You can install the development version of photon from GitHub with:

# install.packages("remotes")
remotes::install_github("jslth/photon")

Usage

When loading {photon}, the package assumes that you want send geocoding requests to the public photon API. If you want to change this, you can use the workhorse function new_photon(). Otherwise, you can directly start geocoding.

library(photon)
places <- c("Paris", "Beijing", "Sao Paolo", "Kinshasa")

cities1 <- geocode(places, limit = 1, layer = "city")
cities1
#> Simple feature collection with 4 features and 12 fields
#> Geometry type: POINT
#> Dimension:     XY
#> Bounding box:  xmin: -46.63338 ymin: -23.55065 xmax: 110.7344 ymax: 48.8535
#> Geodetic CRS:  WGS 84
#> # A tibble: 4 × 13
#>     idx osm_type  osm_id country osm_key countrycode osm_value name  state type 
#>   <int> <chr>      <dbl> <chr>   <chr>   <chr>       <chr>     <chr> <chr> <chr>
#> 1     1 R         7.15e4 France  place   FR          city      Paris Ile-… city 
#> 2     2 N         4.52e9 China   place   CN          town      Beij… Shan… city 
#> 3     3 R         2.98e5 Brazil  place   BR          municipa… São … São … city 
#> 4     4 R         3.88e5 Democr… bounda… CD          administ… Kins… Kins… city 
#> # ℹ 3 more variables: extent <list>, county <chr>, geometry <POINT [°]>

Reverse geocoding means taking point geometries and returning their addresses or place names.

cities2 <- reverse(cities1$geometry, limit = 1, layer = "city")
cities2
#> Simple feature collection with 4 features and 12 fields
#> Geometry type: POINT
#> Dimension:     XY
#> Bounding box:  xmin: -46.63338 ymin: -23.55065 xmax: 110.7344 ymax: 48.8535
#> Geodetic CRS:  WGS 84
#> # A tibble: 4 × 13
#>     idx osm_type  osm_id country osm_key countrycode osm_value name  state type 
#>   <int> <chr>      <dbl> <chr>   <chr>   <chr>       <chr>     <chr> <chr> <chr>
#> 1     1 R         7.15e4 France  place   FR          city      Paris Ile-… city 
#> 2     2 N         4.52e9 China   place   CN          town      Beij… Shan… city 
#> 3     3 R         2.98e5 Brazil  place   BR          municipa… São … São … city 
#> 4     4 R         3.88e5 Democr… bounda… CD          administ… Kins… Kins… city 
#> # ℹ 3 more variables: extent <list>, county <chr>, geometry <POINT [°]>
all.equal(cities1, cities2)
#> [1] TRUE

Offline geocoding

{photon} is designed to facilitate offline geocoding. new_photon() can install photon locally. The following code would install and start photon covering the country of Germany in the current working directory.

photon <- new_photon(path = "./photon", country = "Germany")
photon$start()

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.