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fastbioclim  

Scalable and Efficient Derivation of Bioclimatic Variables
View on CRAN: Click here


Download and install fastbioclim package within the R console
Install from CRAN:
install.packages("fastbioclim")

Install from Github:
library("remotes")
install_github("cran/fastbioclim")

Install by package version:
library("remotes")
install_version("fastbioclim", "0.3.0")



Attach the package and use:
library("fastbioclim")
Maintained by
Gonzalo E. Pinilla-Buitrago
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-08
Latest Update: 2025-09-08
Description:
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.
How to cite:
Gonzalo E. Pinilla-Buitrago (2025). fastbioclim: Scalable and Efficient Derivation of Bioclimatic Variables. R package version 0.3.0, https://cran.r-project.org/web/packages/fastbioclim. Accessed 12 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:37), 0.2.1 (2025-09-08 21:10), 0.3.0 (2025-11-26 17:10), 0.4.1 (2026-03-10 10:40)
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Complete documentation for fastbioclim
Functions, R codes and Examples using the fastbioclim R package
Full fastbioclim package functions and examples
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