Detailed Development of Ecological Niche Models
Overview
A new set of tools to help with the development of detailed ecological niche models using multiple algorithms. Pre-modeling analyses and explorations can be done to prepare data. Model calibration (model selection) can be done by creating and testing models with several parameter combinations. Handy options for producing final models with transfers are included. Other tools to assess extrapolation risks and variability in model transfers are also available. Methodological and theoretical basis for the methods implemented here can be found in: Peterson et al. (2011) https://www.degruyter.com/princetonup/view/title/506966, Radosavljevic and Anderson (2014) doi:10.1111/jbi.12227, Peterson et al. (2018) doi:10.1111/nyas.13873, Cobos et al. (2019) doi:10.7717/peerj.6281, Alkishe et al. (2020) doi:10.1016/j.pecon.2020.03.002, Machado-Stredel et al. (2021) doi:10.21425/F5FBG48814, Arias-Giraldo and Cobos (2024) doi:10.17161/bi.v18i.21742, Cobos et al. (2024) doi:10.17161/bi.v18i.21742.
- In
bivariate_response(), store and restore graphical parameters only when plotting area is modified. - In
response_curves(), omit graphical parameter storing and resetting to allow plotting in multipanel figures. - In
projection_changes(), createdata.frameto set levels representing changes outside of the loop. This ensures it works correctly even whenby_gcmis set toFALSE.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK7 OK2026-03-30
Documentation
- Help pages
- 78includes a package overview page
- Examples that run
- 100%56 run in a plain check
- Exported functions with examples
- 90%
- Documented parameters
- 99%
- Return-value docs
- 100%
- Help pages citing references
- 6%
- 1. Basic Data Cleaning HTML
- 2. Prepare Data for Model Calibration HTML
- 3. Model Calibration HTML
- 4. Fit and Explore Selected Models HTML
- 5. Project Models to a Single Scenario HTML
- 6. Project Models to Multiple Scenarios HTML
- 7. Exploring Model Uncertainty and Variability HTML
- 8. Example of Projections Using CHELSA Data HTML
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 82
- Median days to close, 50 most recently updated closed PRs
- 0
Forks over time
Issues over time
Commits over time
9 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/marlonecobos/kuenm2 on 2026-10-21.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2026-10-18 · The repository has a site deploy workflow
pkgdown site last built 2026-10-18
Dependencies
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 0.1.3Latest
- 0.1.22026-03-29
- RR 4.5.0 released · 2025-04-11
Package metadata
- First published
- 2026-03-29
- Total releases
- 2 / 1 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 710 KB / 16 files
- Download size
- 2.7 MB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("kuenm2")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.