https://gepinillab.github.io/fastbioclim/> to find tutorials in English and Spanish.">

fastbioclim: Scalable and Efficient Derivation of Bioclimatic Variables (original) (raw)

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-BuitragoORCID iD [aut, cre], Luis Osorio-OlveraORCID iD [aut]
Maintainer: Gonzalo E. Pinilla-Buitrago
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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