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Convert from/to sf/sv objects

Source: R/utils.R
convert_spatial_class.Rd

returns downloaded data as a spatial object or the filename if load=FALSE. if destdir is specified the data can be reloaded in a later R session using ne_load with the same arguments.

Usage

convert_spatial_class(x, returnclass = c("sf", "sv"))

Arguments

x

Object to be converted

returnclass

A string determining the spatial object to return. Either "sf" for for simple feature (from `sf`, the default) or "sv" for a `SpatVector` (from `terra`).

Value

Object of class "sf" or "sv"

Details

Note that the filename of the requested object will be returned if `load = FALSE`.

If the data is to be loaded into memory (`load = TRUE`), the download will be handled using the GDAL virtual file system, allowing direct access to the data without writing it to disk.

See also

ne_load, pre-downloaded data are available using ne_countries, ne_states. Other geographic data are available in the raster package : getData.

Examples

if (FALSE) { # \dontrun{
spdf_world <- ne_download(scale = 110, type = "countries")

plot(spdf_world)
plot(ne_download(type = "populated_places"))

# reloading from the saved file in the same session with same arguments

spdf_world2 <- ne_load(scale = 110, type = "countries")

# download followed by load from specified directory will work across sessions
spdf_world <- ne_download(scale = 110, type = "countries", destdir = getwd())
spdf_world2 <- ne_load(scale = 110, type = "countries", destdir = getwd())

# for raster, here an example with Manual Shaded Relief (MSR) download & load

rst <- ne_download(scale = 50, type = "MSR_50M", category = "raster", destdir = getwd())

# load after having downloaded
rst <- ne_load(
  scale = 50, type = "MSR_50M", category = "raster", destdir = getwd()
)

# plot
library(terra)
terra::plot(rst)
# end dontrun
} # }