compute_periods

Defines sliding periods of a specified length for temporal calculations,
handling wrap-around cases for circular data.

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

compute_periods function

<dl><dt>n_units</dt>
<dd>Integer. The total number of temporal units (layers).</dd>
<dt>period_length</dt>
<dd>Integer. The number of consecutive units in each period.</dd>
<dt>circular</dt>
<dd>Logical. If TRUE, allows periods to wrap around.</dd></dl>

Arguments

Calculate Sliding Periods for Temporal Analysis — compute_periods

<dl>

<dt>n_units</dt>
<dd>Integer. The total number of temporal units (layers).</dd>


<dt>period_length</dt>
<dd>Integer. The number of consecutive units in each period.</dd>


<dt>circular</dt>
<dd>Logical. If TRUE, allows periods to wrap around.</dd>

</dl>

compute_periods: Calculate Sliding Periods for Temporal Analysis

Description

Usage

Value

Arguments