biomes: Reproducible Occurrence-to-Biome Classification Using 31 Global Biome Schemes

Reproducibly classifies occurrence records into biome classes using 31 published global terrestrial biome schemes compiled by Fischer and colleagues (2022) <doi:10.1111/geb.13574>, provided as harmonised raster layers at 10x10 km resolution globally. Includes functions to choose the most suitable biome scheme for a dataset by a data-driven ranking, to classify occurrence records, and to tabulate and visualise the result. Works with user-provided occurrences or a taxon name, in which case occurrences are downloaded from GBIF (<https://www.gbif.org>) and cleaned automatically.

Version: 0.9.4
Depends: R (≥ 4.1.0), terra
Imports: readr, checkmate, rlang, ggplot2, sf, viridis, tidyterra, utils
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0), dplyr, tidyr, rgbif, CoordinateCleaner, cowplot, ggforce, rstudioapi
Published: 2026-08-31
DOI: 10.32614/CRAN.package.biomes (may not be active yet)
Author: Hans Christian Groß [cre, aut], Alexander Zizka [aut, fnd], Anna Walentowitz [aut], Jan-Christopher Fischer [aut]
Maintainer: Hans Christian Groß <hc.gross at gmx.de>
BugReports: https://github.com/azizka/biomes/issues
License: CC BY 4.0
URL: https://azizka.github.io/biomes/, https://github.com/azizka/biomes
NeedsCompilation: no
Language: en-GB
Citation: biomes citation info
Materials: README, NEWS
CRAN checks: biomes results

Documentation:

Reference manual: biomes.html , biomes.pdf
Vignettes: Step 1: Assembling occurrence records and biome schemes (source, R code)
Step 2: Choosing a biome scheme (source, R code)
Step 3: Occurrences-to-biome classification (source, R code)
Step 4: Output and visualisation (source, R code)

Downloads:

Package source: biomes_0.9.4.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): biomes_0.9.4.tgz

Linking:

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