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fastbioclim

Scalable and Flexible Derivation of Custom-Time Bioclimatic and Environmental Summary Variables

v0.4.2 · May 8, 2026 · GPL (>= 3)

Description

Provides an efficient tool for creating custom-time bioclimatic and derived environmental summary variables from user-supplied raster data for user-defined timeframes. The package overcomes computational bottlenecks by automatically switching between an in-memory framework using the 'terra' package to maximize speed for smaller datasets, and an on-disk tiling framework for rasters that exceed available RAM, leveraging 'exactextractr' and 'Rfast' to process data in chunks. The core functions, derive_bioclim() and derive_statistics(), offer a unified interface with flexibility for custom time periods beyond standard quarters and the use of fixed temporal indices, facilitating the creation of temporally-matched environmental variables for ecological and biogeographical modeling. Visit the package website <https://gepinillab.github.io/fastbioclim/> to find tutorials in English and Spanish.

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r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-windows-x86_64 OK
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Check History

OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE May 2, 2026
ERROR 11 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Apr 25, 2026
ERROR r-release-macos-x86_64

package dependencies

Package required but not available: ‘qs2’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies exactextractr future.apply glue progressr purrr qs2 Rfast sf terra fastbioclim

Version History

4 tracked
updated 0.4.2 ← 0.4.1 diff May 8, 2026
new 0.4.1 Mar 10, 2026
updated 0.3.0 ← 0.2.1 diff Nov 25, 2025
new 0.2.1 Sep 7, 2025