xbioclim: Bioclimatic Variables from Monthly Climate Data
Computes the 19 standard bioclimatic variables (BIO01-BIO19) from
monthly climate data. The variable set was originally proposed by Nix
(1986, ISBN:978-0-644-04887-3) for the BIOCLIM modelling system and is
also distributed with the CHELSA climatologies (Karger et al., 2017
<doi:10.1038/sdata.2017.122>). Provides both individual variable
functions and a unified interface to compute all 19 variables at once.
Designed as an R implementation of the 'xbioclim' C++ library (Robles
Fernandez, 2026 <https://github.com/alrobles/xbioclimcpp>). Supports
single-pixel vectors and block-based raster processing via 'terra' for
memory-efficient handling of large spatial datasets. Includes helpers
to transform ERA5-Land hourly reanalysis data (Muñoz-Sabater et al.,
2021 <doi:10.5194/essd-13-4349-2021>) into monthly climate inputs.
| Version: |
1.0.3 |
| Imports: |
methods, Rcpp (≥ 1.0.0) |
| LinkingTo: |
Rcpp |
| Suggests: |
parallel, sf, terra, testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: |
2026-10-05 |
| DOI: |
10.32614/CRAN.package.xbioclim (may not be active yet) |
| Author: |
Angel Luis Robles Fernandez [aut, cre] |
| Maintainer: |
Angel Luis Robles Fernandez <a.l.robles.fernandez at gmail.com> |
| BugReports: |
https://github.com/alrobles/xbioclim/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://alrobles.github.io/xbioclim/,
https://github.com/alrobles/xbioclim |
| NeedsCompilation: |
yes |
| SystemRequirements: |
GNU make, C++17; optionally GDAL (>= 2.0.1) with
gdal-config, CUDA toolkit (>= 11.0) with nvcc for GPU
acceleration |
| Language: |
en-US |
| Citation: |
xbioclim citation info |
| Materials: |
README |
| CRAN checks: |
xbioclim results |
Documentation:
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