stats_terra

Internal function to calculate custom summary statistics using `terra` functions.
Designed for datasets that fit into RAM.

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

stats_terra function

<dl><dt>variable</dt>
<dd>A SpatRaster for the primary variable.</dd>
<dt>stats</dt>
<dd>Character vector of stats to compute.</dd>
<dt>prefix_variable</dt>
<dd>Character, prefix for output layer names.</dd>
<dt>...</dt>
<dd>Other arguments including inter_variable, period_length, circular,
static index SpatRasters, etc.</dd></dl>

Arguments

In-Memory Custom Variable Summarization — stats_terra

<dl>

<dt>variable</dt>
<dd>A SpatRaster for the primary variable.</dd>


<dt>stats</dt>
<dd>Character vector of stats to compute.</dd>


<dt>prefix_variable</dt>
<dd>Character, prefix for output layer names.</dd>


<dt>...</dt>
<dd>Other arguments including inter_variable, period_length, circular,
static index SpatRasters, etc.</dd>

</dl>

stats_terra: In-Memory Custom Variable Summarization

Description

Usage

Value

Arguments

See Also