flexsdm: Flexible Species Distribution Modeling Workflow
Provides a flexible and comprehensive workflow for species
distribution modeling, from data preparation (occurrence filtering,
calibration areas, pseudo-absence and background sampling, data
partitioning, and collinearity reduction) to model fitting, tuning,
evaluation, prediction, ensemble modeling, and post-processing. The package is
described in Velazco et al. (2022) <doi:10.1111/2041-210X.13874>.
Implemented methods include the Shape metric to measure model
extrapolation of Velazco et al. (2023) <doi:10.1111/ecog.06992>,
ensembles of small models of Breiner et al. (2015)
<doi:10.1111/2041-210X.12403> and Breiner et al. (2018)
<doi:10.1111/2041-210X.12957>, Gaussian process models of Golding and
Purse (2016) <doi:10.1111/2041-210X.12523>, and occurrence-based
constraints for post-processing predictions of Mendes et al. (2020)
<doi:10.1016/j.ecolmodel.2020.109180>.
| Version: |
1.4.2 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
doParallel, dplyr, foreach, gbm, grDevices, kernlab, maxnet, mgcv, nnet, randomForest, spThin, terra (≥ 1.5-21), methods, utils, ggplot2, patchwork, Rcpp |
| LinkingTo: |
Rcpp |
| Suggests: |
covr, fs, knitr, rmarkdown, testthat (≥ 3.0.0), tibble, tidyr |
| Published: |
2026-10-24 |
| DOI: |
10.32614/CRAN.package.flexsdm (may not be active yet) |
| Author: |
Santiago J.E. Velazco
[aut, cre],
Brooke Rose [aut],
André F.A. Andrade
[aut],
Ignacio Minoli
[aut],
Janet Franklin
[aut] |
| Maintainer: |
Santiago J.E. Velazco <sjevelazco at gmail.com> |
| BugReports: |
https://github.com/sjevelazco/flexsdm/issues |
| License: |
GPL (≥ 3) |
| URL: |
https://sjevelazco.github.io/flexsdm/,
https://github.com/sjevelazco/flexsdm |
| NeedsCompilation: |
yes |
| Citation: |
flexsdm citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
flexsdm results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
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