roll_terra

<p>In-Memory Rolling Time Series Averaging (Internal)</p>

internal

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.

Gonzalo E. Pinilla-Buitrago

fastbioclim

roll_terra: In-Memory Rolling Time Series Averaging (Internal)

Description

Usage

Arguments