An R client for the BAN API

The banR package is a light R client for the BAN API. The Base Adresse Nationale (BAN) is an open database of French adresses, produced by OpenStreetMap, La Poste, the IGN and Etalab.

banR can be installed from CRAN (stable version):

install.packages("banR")

or from Github (dev version):

# install.packages("devtools")
devtools::install_github("joelgombin/banR", build_vignettes = TRUE)

banR allows to geocode lots of adresses in batch (the only hard limit is that, at the moment, the API only allows CSV files up to 8 MB). Please be gentle with the server though!

banR is designed to be used in a data exploration workflow, with a syntax ‘à la tidyverse’:

library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
library(banR)
data("paris2012")

paris2012 %>%
  slice(1:100) %>%
  mutate(adresse = paste(numero, voie, nom),
         code_insee = paste0("751", arrondissement)) %>% 
  geocode_tbl(adresse = adresse, code_insee = code_insee) %>%
  glimpse
#> Writing tempfile to.../tmp/RtmpIH1Wul/file13a295bdce43e.csv
#> If file is larger than 8 MB, it must be splitted
#> Size is : 3 Kb
#> SuccessOKSuccess: (200) OK
#> Rows: 100
#> Columns: 25
#> $ arrondissement     <chr> "06", "06", "06", "06", "06", "06", "06", "06", "0…
#> $ bureau             <chr> "09", "09", "09", "09", "09", "09", "09", "09", "0…
#> $ numero             <int> 4, 5, 6, 7, 8, 11, 12, 13, 14, 16, 3, 4, 5, 6, 7, …
#> $ voie               <chr> "RUE DE L", "RUE DE L", "RUE DE L", "RUE DE L", "R…
#> $ nom                <chr> "ABBAYE", "ABBAYE", "ABBAYE", "ABBAYE", "ABBAYE", …
#> $ nb                 <int> 1, 1, 20, 2, 17, 2, 9, 15, 17, 8, 13, 6, 6, 3, 9, …
#> $ ID                 <chr> "0609", "0609", "0609", "0609", "0609", "0609", "0…
#> $ adresse            <chr> "4 RUE DE L ABBAYE", "5 RUE DE L ABBAYE", "6 RUE D…
#> $ code_insee         <chr> "75106", "75106", "75106", "75106", "75106", "7510…
#> $ latitude           <dbl> 48.85405, 48.85407, 48.85414, 48.85410, 48.85425, …
#> $ longitude          <dbl> 2.335715, 2.335172, 2.335352, 2.335041, 2.334903, …
#> $ result_label       <chr> "4 Rue de l'Abbaye 75006 Paris", "5 Rue de l'Abbay…
#> $ result_score       <dbl> 0.96, 0.96, 0.96, 0.96, 0.96, 0.96, 0.96, 0.96, 0.…
#> $ result_type        <chr> "housenumber", "housenumber", "housenumber", "hous…
#> $ result_id          <chr> "75106_0002_00004", "75106_0002_00005", "75106_000…
#> $ result_housenumber <chr> "4", "5", "6", "7", "8", "11", "12", "13", "14", "…
#> $ result_name        <chr> "Rue de l'Abbaye", "Rue de l'Abbaye", "Rue de l'Ab…
#> $ result_street      <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ result_postcode    <chr> "75006", "75006", "75006", "75006", "75006", "7500…
#> $ result_city        <chr> "Paris", "Paris", "Paris", "Paris", "Paris", "Pari…
#> $ result_context     <chr> "75, Paris, Île-de-France", "75, Paris, Île-de-Fra…
#> $ result_citycode    <chr> "75106", "75106", "75106", "75106", "75106", "7510…
#> $ result_oldcitycode <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ result_oldcity     <chr> NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA…
#> $ result_district    <chr> "Paris 6e Arrondissement", "Paris 6e Arrondissemen…

To know more about this package, please read the vignette (vignette("geocode"))

Please report issues and suggestions to the issues tracker.

See also

• BAN-geocoder, python wrapper for adresse.data.gouv.fr