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Get Jung et al. (2020) habitat classification data (level 1)

Source: R/get_jung_lvl1_habitat_data.R
get_jung_lvl1_habitat_data.Rd

Import habitat classification data (level 1) derived from Jung et al. (2020a). If data are not available locally, they are downloaded from a Zenodo repository (doi:10.5281/zenodo.6622029 ).

Usage

get_jung_lvl1_habitat_data(
  dir = tempdir(),
  version = "latest",
  force = FALSE,
  verbose = TRUE
)

Arguments

dir

character Folder path for downloading and caching data. By default, data are downloaded to a temporary directory (i.e., tempdir()). To avoid downloading the same data multiple times, it is strongly recommended to specify a persistent storage location (see Examples below).

version

character Value indicating the specific version of the dataset that should be downloaded. The version should be indicated using the Digital Object Identifier of the specific version required (e.g. "10.5281/zenodo.3673586"). Defaults to "latest" such that the latest release of the dataset with available habitat data is used.

force

logical Should the data be downloaded even if the the data are already available? Defaults to FALSE.

verbose

logical Should progress be displayed while downloading data? Defaults to TRUE.

Value

A terra::rast() object containing the habitat data (100 m resolution). Pixel values indicate the habitat classification codes.

Details

The data were produced by obtaining the level 1 habitat classification data from a Zenodo repository (Jung et al. 2020b), and resampling the data (using nearest neighbor interpolation) to the World Behrmannn coordinate reference systems (ESRI:54017).

References

Jung M, Dahal PR, Butchart SHM, Donald PF, De Lamo X, Lesiv M, Kapos V, Rondinini C, and Visconti P (2020a) A global map of terrestrial habitat types. Scientific Data, 7, 1–8. doi:10.1038/s41597-020-00599-8

Jung M, Dahal PR, Butchart SHM, Donald PF, De Lamo X, Lesiv M, Kapos V, Rondinini C, and Visconti P (2020b) A global map of terrestrial habitat types (insert version) [Data set]. Zenodo. doi:10.5281/zenodo.4058819

See also

See crosswalk_jung_lvl1_data() for details on which grid values correspond to which habitat classification codes.

Examples

# \dontrun{
# define persistent storage location
download_dir <- rappdirs::user_data_dir("aoh")

# create download directory if needed
if (!file.exists(download_dir)) {
  dir.create(download_dir, showWarnings = FALSE, recursive = TRUE)
}

# download and import habitat data
habitat_data <- get_jung_lvl1_habitat_data(download_dir, version = "latest")

# preview data
print(habitat_data)
#> class       : SpatRaster 
#> size        : 132926, 347351, 1  (nrow, ncol, nlyr)
#> resolution  : 100, 100  (x, y)
#> extent      : -17367531, 17367569, -6005523, 7287077  (xmin, xmax, ymin, ymax)
#> coord. ref. : World_Behrmann 
#> source      : jung-lvl1-10-5281_zenodo-4058819.tif 
#> name        : jung-lvl1-10-5281_zenodo-4058819 

# plot data
plot(habitat_data)

# }