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The International Union for Conservation of Nature (IUCN) Red List of Threatened Species provides a habitat classification scheme for different habitat types. To map the spatial location of where restoration actions might produce these habitat classes, Jung (2020) developed a global raster dataset based on potential vegetation data.

Usage

data(crosswalk_jung_plvl1_data)

Format

A data frame (tibble::tibble()) object with 126 rows and 2 columns. Each row corresponds to a different IUCN habitat class. It has the following columns:

code

The character code for a given IUCN habitat class.

value

The numeric value assigned to grid cells in the raster data that contain the IUCN habitat class (see get_jung_plvl1_habitat_data()).

Source

The data were obtained from Jung (2020).

References

Jung M (2020) A layer of global potential habitats (insert version) [Data set]. Zenodo. doi:10.5281/zenodo.4038749

See also

A preprocessed version of the habitat classification data can be imported using get_jung_plvl1_habitat_data().

Examples

# load data
data(crosswalk_jung_plvl1_data)

# print data
print(crosswalk_jung_plvl1_data)
#> # A tibble: 126 × 2
#>    code  value
#>    <chr> <int>
#>  1 1       100
#>  2 1.1     100
#>  3 1.2     100
#>  4 1.3     100
#>  5 1.4     100
#>  6 1.5     100
#>  7 1.6     100
#>  8 1.7     100
#>  9 1.8     100
#> 10 1.9     100
#> # ℹ 116 more rows