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:

Reference manual:

fastbioclim.html , fastbioclim.pdf

Downloads:

Package source:	fastbioclim_0.2.1.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): fastbioclim_0.2.1.tgz, r-oldrel (arm64): fastbioclim_0.2.1.tgz, r-release (x86_64): fastbioclim_0.2.1.tgz, r-oldrel (x86_64): fastbioclim_0.2.1.tgz

Linking:

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