fastbioclim: Scalable and Efficient Derivation of Bioclimatic Variables
Provides a high-performance framework for deriving bioclimatic and custom summary variables from
large-scale climate raster data. The package features a dual-backend architecture that intelligently switches
between fast in-memory processing for smaller datasets (via the 'terra' package) and a memory-safe tiled approach
for massive datasets that do not fit in RAM (via 'exactextractr' and 'Rfast'). The main functions,
'derive_bioclim()' and 'derive_statistics()', offer a unified interface with advanced options for
custom time periods and static indices, making it suitable for a wide range of ecological and
environmental modeling applications. A software note is in preparation. In the meantime, you can visit
the package website <https://gepinillab.github.io/fastbioclim/> to find tutorials in English and Spanish.
| Version: |
0.2.1 |
| Depends: |
R (≥ 4.1) |
| Imports: |
exactextractr, future.apply, glue, progressr, purrr, qs, Rfast, rlang, sf, terra (≥ 1.7-0) |
| Published: |
2025-09-08 |
| DOI: |
10.32614/CRAN.package.fastbioclim |
| Author: |
Gonzalo E. Pinilla-Buitrago
 [aut, cre],
Luis Osorio-Olvera
[aut] |
| Maintainer: |
Gonzalo E. Pinilla-Buitrago <gepinillab at gmail.com> |
| BugReports: |
https://github.com/gepinillab/fastbioclim/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://gepinillab.github.io/fastbioclim/ |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
fastbioclim results |
Documentation:
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