Species Distribution Modeling and Ecological Niche Modeling
Overview
Implements species distribution modeling and ecological niche modeling, including: bias correction, spatial cross-validation, model evaluation, raster interpolation, biotic "velocity" (speed and direction of movement of a "mass" represented by a raster), interpolating across a time series of rasters, and use of spatially imprecise records. The heart of the package is a set of "training" functions which automatically optimize model complexity based number of available occurrences. These algorithms include MaxEnt, MaxNet, boosted regression trees/gradient boosting machines, generalized additive models, generalized linear models, natural splines, and random forests. To enhance interoperability with other modeling packages, no new classes are created. The package works with 'PROJ6' geodetic objects and coordinate reference systems.
- Fixed bug that sometimes appeared in
coordImprecision()because output included units :(.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-04-06
- ERROR13 OK, 1 ERROR2026-04-04
- OK14 OK2026-03-10
Documentation
- Help pages
- 64 (6 internal)includes a package overview page
- Examples that run
- 72%41 run in a plain check · 14 only when donttest examples are enabled (R CMD check --as-cran) · 2 never run
- Exported functions with examples
- 100%
- Documented parameters
- 94%
- Return-value docs
- 100%
- Help pages citing references
- 22%
Downloads
Repository
- PRs merged (all time)
- 96%
- Median days to close, 50 most recently updated closed issues
- 44
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Forks over time
Releases over time
Issues over time
PRs over time
4 development-tooling and community-health practices detected across 3 families in the upstream repository
Checks run against github.com/adamlilith/enmsdmx on 2026-10-21.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
Dependencies
Installing enmSdmX adds 93 packages (53 with compiled code, 92 MB of source tarballs). Heaviest: sf 9.3 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.2.12Latest
- 1.2.102024-12-11 · diff ↗
- 1.1.92024-11-03 · diff ↗
- 1.1.62024-06-14 · diff ↗
- 1.1.5
- RR 4.4.0 released · 2024-04-24
- 1.1.2
- 1.0.62023-05-23 · diff ↗
- RR 4.3.0 released · 2023-04-21
- 1.0.42023-04-19 · diff ↗
- 1.0.32023-03-10 · diff ↗
- 1.0.22023-03-04 · diff ↗
- 1.0.12023-01-26 · diff ↗
- 1.0.02022-12-12
Show 1 earlier eventHide 1 earlier event
- RR 4.2.0 released · 2022-04-22
Package metadata
- First published
- 2022-12-12
- Total releases
- 12 / 4 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.0.0
- Bundled data
- 325 KB / 4 files
- Download size
- 1.3 MB
Cite
Cite this package
Run in R for the authors' entry:
citation("enmSdmX")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1111/geb.13628.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.