Skip to contents

Read Open Street Map data

Source: R/read_osm.R
read_osm.Rd

Read Open Street Map data. OSM tiles are read and returned as a spatial raster. Vectorized OSM data is not supported anymore (see details).

Usage

read_osm(
  x,
  zoom = NULL,
  type = "osm",
  minNumTiles = NULL,
  mergeTiles = NULL,
  use.colortable = FALSE,
  ...
)

Arguments

x

object that can be coerced to a bounding box with bb (e.g. an existing bounding box or a shape). In the first case, other arguments can be passed on to bb (see ...). If an existing bounding box is specified in projected coordinates, plesae specify current.projection.

zoom

passed on to openmap. Only applicable when raster=TRUE.

type

tile provider, by default "osm", which corresponds to OpenStreetMap Mapnik. See openmap for options. Only applicable when raster=TRUE.

minNumTiles

passed on to openmap Only applicable when raster=TRUE.

mergeTiles

passed on to openmap Only applicable when raster=TRUE.

use.colortable

should the colors of the returned raster object be stored in a colortable? If FALSE, a RasterStack is returned with three layers that correspond to the red, green and blue values betweeen 0 and 255.

...

arguments passed on to bb.

Value

The output of read_osm is a raster object.

Details

As of version 2.0, read_osm cannot be used to read vectorized OSM data anymore. The reason is that the package that was used under the hood, osmar, has some limitations and is not actively maintained anymore. Therefore, we recommend the package osmdata. Since this package is very user-friendly, there was no reason to use read_osm as a wrapper for reading vectorized OSM data.

Examples

if (FALSE) { # \dontrun{
if (require(tmap)) {
    #### Choropleth with OSM background

    # load Netherlands shape
    data(NLD_muni)

    # read OSM raster data
    osm_NLD <- read_osm(NLD_muni, ext=1.1)

    # plot with regular tmap functions
    tm_shape(osm_NLD) +
      tm_rgb() +
    tm_shape(NLD_muni) +
      tm_polygons("population", convert2density=TRUE, style="kmeans", alpha=.7, palette="Purples")

    #### A close look at the building of Statistics Netherlands in Heerlen

    # create a bounding box around the CBS (Statistics Netherlands) building
    CBS_bb <- bb("CBS Weg 11, Heerlen", width=.003, height=.002)

    # read Microsoft Bing satellite and OpenCycleMap OSM layers
    CBS_osm1 <- read_osm(CBS_bb, type="bing")
    CBS_osm2 <- read_osm(CBS_bb, type="opencyclemap")

    # plot OSM raster data
    qtm(CBS_osm1)
    qtm(CBS_osm2)

}
} # }