bio32_terra

Calculates moisture mean of the most moist period.

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

Scalable and Efficient Derivation of Bioclimatic Variables

Luis Osorio-Olvera

bio32_terra function

<dl><dt>pmois</dt>
<dd>spatRaster of moisture period means.</dd>
<dt>high_mois_period</dt>
<dd>Vector indicating the index (1-based) of the most moist period.</dd></dl>

Arguments

bio32_terra: Moisture of the Most Moist Period — bio32_terra

<dl>

<dt>pmois</dt>
<dd>spatRaster of moisture period means.</dd>


<dt>high_mois_period</dt>
<dd>Vector indicating the index (1-based) of the most moist period.</dd>

</dl>

bio32_terra: bio32_terra: Moisture of the Most Moist Period

Description

Usage

Value

Arguments