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: | 0.3.0 |
| Depends: | R (≥ 4.1) |
| Imports: | exactextractr,future.apply,glue,progressr,purrr,qs2,Rfast,sf,terra (≥ 1.7-0) |
| Suggests: | mockery,testthat (≥ 3.0.0),withr |
| Published: | 2025-11-26 |
| 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 |
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