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A dataset describing the nine Interim Bioregionalisation of Australia (IBRA) bioregions for the Tasmanian study region of the Thylacine example vignette.

Format

A data frame with 9 rows and 4 variables:

index

Cross-reference index for each bioregion

key

Additional alphabetical cross-reference for each bioregion

abbr

Abbreviated name for each bioregion

name

Full name for each bioregion

Source

https://doi.org/10.1111/2041-210X.13720

Examples

data(tasmania_ibra_data)
data(tasmania_ibra_raster)
raster::values(tasmania_ibra_raster)[!is.na(raster::values(tasmania_ibra_raster))] |> 
 table() |> as.data.frame() |> 
 merge(tasmania_ibra_data, by.x = "Var1", by.y = "index")
#>   Var1 Freq key abbr                        name
#> 1    1   46   A  FUR                    Furneaux
#> 2    2   76   B  BEN                  Ben Lomond
#> 3    3   40   C  TNM Tasmanian Northern Midlands
#> 4    4  147   D  TSE        Tasmanian South East
#> 5    5  188   E   TW              Tasmanian West
#> 6    6   72   F  TNS   Tasmanian Northern Slopes
#> 7    7   93   G  TSR   Tasmanian Southern Ranges
#> 8    8   86   H  TCH Tasmanian Central Highlands
#> 9    9   47   I  KIN                        King