tmr_partition_small

<p>A subsampled version of <code>tmr_partition</code> retaining
approximately half the points per fold, for use in examples and tests
where runtime is a concern. Built by sampling
<code>ceiling(n / 2)</code> rows from each fold of <code>tmr_partition$points_sf</code>.
Loaded with <code>data(tmr_partition_small)</code>.</p>

datasets

Increases the ease of implementing a temporally-explicit modeling
methodology when building ecological niche and species distribution models.
Provides functions to assist with three major steps of temporally-explicit
models: (i) preprocessing species and environmental data and generating
suitable background or pseudoabsence data, (ii) building a niche model and
generating temporally-explicit predictions from that model, and (iii) model
postprocessing to explore spatiotemporal trends in model predictions.
Methodological and theoretical foundations are described in Ingenloff and
Peterson (2021) <doi:10.1111/2041-210X.13564>, Franklin (2010, ISBN:9780521700023),
Peterson et al. (2011, ISBN:9780691136882), Blonder (2018) <doi:10.1111/ecog.03187>,
Senay et al. (2013) <doi:10.1371/journal.pone.0071218>, and Li and Zhang (2024) <doi:10.48550/arXiv.2404.05933>.

Connor Hughes

TemporalModelR

Temporally Explicit Species Distribution Modelling

Mariana Castaneda-Guzman

Luis E. Escobar

tmr_partition_small function

<p>A list with the same structure as <code>tmr_partition</code>,
  containing <code>$folds</code>, <code>$points_sf</code>, <code>$voronoi_blocks</code>,
  <code>$voronoi_folds</code>, <code>$summary</code>, and <code>$plots</code>.</p>

tmr_partition_small: Pre-built spatiotemporal partition, small version (seasonal workflow)

Description

Usage

Arguments

Format

See Also