Read the Biodiversity Intactness Index from the Natural History Museum. Two dataset subtypes: * "Phillips" (default) – Phillips et al. 2021 BII-BTE, historical scenario, country-level, returned as ISO x year x scenario.variable. * "DePalma" – De Palma et al. 2024 NHM v2.1.1 – cellular x.y.iso on the 67420-cell lpjcell grid, fraction (0-1). Country aggregation is left to the consumer (calcValidBII).
Arguments
- subtype
Dataset: "Phillips" (default, Phillips et al. 2021 historical BII) or "DePalma" (De Palma et al. 2024 v2.1.1 rasters).
- subset
Phillips variable selection ("bii", "crops", "highintensityag", "hpd", "pastureland", "qualitynatural", "urbanextent"; lists accepted). Ignored for subtype = "DePalma".
Value
magclass object. Phillips: ISO x year x scenario.variable. DePalma: x.y.iso x year x "bii" (fraction 0-1).
Details
The De Palma rasters are 5 arc-minute WGS84 GeoTIFFs. terra::aggregate (fact = 6, fun = "mean") brings them to 30 arc-minute (unweighted mean is fine within a 6x6 block); terra::project pins to the canonical 0.5-deg grid; terra::extract samples the 67420 lpjcell coordinates. Source is percent (0-100), divided by 100 for unit-parity with Phillips. The data sub-dim is named "variable" so calcValidBII can use getNames(x, dim = "variable") <- ... on both subtypes.
See also
https://data.nhm.ac.uk/dataset/bii-bte,
https://data.nhm.ac.uk/dataset/bii-developed-by-nhm-v2-1-1-limited-release,
downloadBII, calcValidBII