get_window

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

get_window function

<dl><dt>x</dt>
<dd>spatRaster</dd>
<dt>period</dt>
<dd>Length of period. Default is three. If you are using months. It will be a quarter.</dd>
<dt>circular</dt>
<dd>logical Include first month/weeks?</dd></dl>

Arguments

Windows — get_window

<dl>

<dt>x</dt>
<dd>spatRaster</dd>


<dt>period</dt>
<dd>Length of period. Default is three. If you are using months. It will be a quarter.</dd>


<dt>circular</dt>
<dd>logical Include first month/weeks?</dd>

</dl>

get_window: Windows

Description

Usage

Arguments