Learn R Programming

rnaturalearth (version 0.3.2)

ne_download: download data from Natural Earth and (optionally) read into R

Description

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

ne_download(
  scale = 110,
  type = "countries",
  category = c("cultural", "physical", "raster"),
  destdir = tempdir(),
  load = TRUE,
  returnclass = c("sp", "sf")
)

Value

A Spatial object depending on the data (points, lines, polygons or raster), unless load=FALSE in which case it returns the name of the downloaded shapefile (without extension).

Arguments

scale

scale of map to return, one of 110, 50, 10 or 'small', 'medium', 'large'

type

type of natural earth file to download one of 'countries', 'map_units', 'map_subunits', 'sovereignty', 'states' OR the portion of any natural earth vector url after the scale and before the . e.g. for 'ne_50m_urban_areas.zip' this would be 'urban_areas'. See Details. OR the raster filename e.g. for 'MSR_50M.zip' this would be 'MSR_50M'

category

one of natural earth categories : 'cultural', 'physical', 'raster'

destdir

where to save files, defaults to tempdir(), getwd() is also possible.

load

TRUE/FALSE whether to load file into R and return

returnclass

'sp' default or 'sf' for Simple Features

Details

A non-exhaustive list of datasets available according to scale specified by the type param

scale = 'small'scale = 'medium'scale = 'large'
category = 'physical', type = '[below]'coastlineyy
ylandyy
yoceanyy
yrivers_lake_centerlinesyy
ylakesyy
yglaciated_areasyy
yantarctic_ice_shelves_polys-y
ygeographic_linesyy
ygraticules_1yy
ygraticules_30yy
ywgs84_bounding_boxyy
yplayas-y
yminor_islands--
yreefs--
ycategory = 'cultural', type = '[below]'populated_placesy
yyboundary_lines_landy
yybreakaway_disputed_areas-
yyairports-
yyports-
yyurban_areas-
yyroads-
-yrailroads-

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

Run this code
if (FALSE) {
spdf_world <- ne_download(scale = 110, type = "countries")

if (require(sp)) {
  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
}

Run the code above in your browser using DataLab