tmr_absences_annual

<p>Annual variant of <code>tmr_absences</code>. Buffer method with 300 m buffer
and 2:1 ratio, generated against <code>tmr_partition_annual</code> with the
annual predictor set (<code>forest_cover</code>, <code>pr_ann</code>,
<code>elevation</code>). Loaded with <code>data(tmr_absences_annual)</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_absences_annual function

<p>A list as returned by <code>generate_absences</code>.</p>

tmr_absences_annual: Pre-built pseudoabsence result (annual workflow)

Description

Usage

Arguments

Format