With a biome scheme chosen in Step 2,
biomes_classify() assigns one biome class per
occurrence record. You select the scheme by its biome
scheme number (1-31), the same number
biomes_rank() returns as the best scheme.
Terms. Classifying here means assigning each occurrence record to a biome class (e.g. savanna) of the chosen biome scheme (identified by its biome scheme number).
biomes_classify() takes a table of points (or an
sf / SpatVector) and returns the input
data with the biome-class assignment appended on the right.
Pick the scheme with the scheme argument; you never handle
SpatRaster objects yourself.
A new column Biome_Inventory_layer_01_name has been
added (the column names carry the raster layer names of the packaged
stack). The appended columns use the suffixes _value
(raster code) and _name (biome-class name). Records that
fall outside every biome class of a scheme
(e.g. coastal records or small islands missing from a coarse map) are,
by default, labelled "no_biome" rather than dropped, so the
counts stay complete:
Handling off-map records explicitly and identically across schemes matters, because the amount and spatial pattern of unassigned records differs between schemes, and is itself one of the ranking criteria in Step 2.
# Several schemes at once, one column per scheme
biomes_classify(biomes_example, scheme = c(1, 25)) |> head(3)
# Keep both the raster value and the biome-class name
biomes_classify(biomes_example, scheme = 1, value = "both") |> head(3)
# Return only the classification columns (drop the input)
biomes_classify(biomes_example, scheme = 1, append = FALSE) |> head(3)
# Keep NA for off-map points instead of the "no_biome" label
class_na <- biomes_classify(biomes_example, scheme = 1, na = NA)
sum(is.na(class_na$Biome_Inventory_layer_01_name))For a scheme outside the packaged stack, pass your own single-layer
terra::SpatRaster via biome = instead of a
scheme number.
Your records now carry a biome-class assignment. Continue with Step 4: Output and visualisation to tabulate and map them.