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TemporalModelR  

Temporally Explicit Species Distribution Modelling
View on CRAN: Click here


Download and install TemporalModelR package within the R console
Install from CRAN:
install.packages("TemporalModelR")

Install from Github:
library("remotes")
install_github("cran/TemporalModelR")

Install by package version:
library("remotes")
install_version("TemporalModelR", "0.3.0")



Attach the package and use:
library("TemporalModelR")
Maintained by
Connor Hughes
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-06-30
Latest Update: 2026-07-02
Description:
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>.
How to cite:
Connor Hughes (2026). TemporalModelR: Temporally Explicit Species Distribution Modelling. R package version 0.3.0, https://cran.r-project.org/web/packages/TemporalModelR. Accessed 26 Aug. 2026.
Previous versions and publish date:
(2026-07-09 08:27), 0.2.0 (2026-06-30 12:40)
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Complete documentation for TemporalModelR
Functions, R codes and Examples using the TemporalModelR R package
Full TemporalModelR package functions and examples
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