Get the OSM network functions
Examples
osm_points = get_points("Edinburgh")
#> No exact match found for place = Edinburgh and provider = geofabrik. Best match is Limburg.
#> Checking the other providers.
#> An exact string match was found using provider = bbbike.
#> Downloading the OSM extract:
#>
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#> File downloaded!
#> Starting with the vectortranslate operations on the input file!
#> 0...10...20...30...40...50...60...70...80...90...100 - done.
#> Finished the vectortranslate operations on the input file!
#> Reading layer `points' from data source `/tmp/RtmpjnSZjp/bbbike_Edinburgh.gpkg' using driver `GPKG'
#> Simple feature collection with 333033 features and 12 fields
#> Geometry type: POINT
#> Dimension: XY
#> Bounding box: xmin: -3.57999 ymin: 55.70002 xmax: -2.770017 ymax: 56.09998
#> Geodetic CRS: WGS 84
traffic_calming = get_traffic_calming(osm_points)
head(traffic_calming)
#> Simple feature collection with 6 features and 3 fields
#> Geometry type: POINT
#> Dimension: XY
#> Bounding box: xmin: -3.410764 ymin: 55.92054 xmax: -3.235701 ymax: 56.08129
#> Geodetic CRS: WGS 84
#> osm_id traffic_calming_binary traffic_calming geometry
#> 1 602297 TRUE table POINT (-3.360137 55.94687)
#> 2 602767 TRUE table POINT (-3.410764 56.08115)
#> 3 602770 TRUE table POINT (-3.408557 56.08129)
#> 4 606133 TRUE island POINT (-3.235701 55.94582)
#> 5 612535 TRUE hump POINT (-3.404983 56.08067)
#> 6 614333 TRUE hump POINT (-3.289233 55.92054)
plot(traffic_calming["traffic_calming"])
