Integrates concepts of stochastic demography into species
distribution modelling. The main approach maximizes a likelihood function
based on environmental information and presence/absence records.
This is used to reconstruct species' fundamental ecological niches and to
project their potential geographic range. Data requirements include species
presence/absence records and a timeseries of environmental data.
| Version: |
1.0.2 |
| Depends: |
R (≥ 4.1.0) |
| Imports: |
checkmate, expm, Rcpp (≥ 1.1.0), RcppParallel (≥ 5.1.10), stats, terra, tibble, ucminfcpp, furrr, future, future.callr, sobol, purrr |
| LinkingTo: |
Rcpp, RcppParallel, ucminfcpp |
| Suggests: |
clue, knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2026-08-08 |
| DOI: |
10.32614/CRAN.package.xsdm |
| Author: |
Emilio Berti 
[aut],
Daniel C. Reuman
[aut],
Angel Luis Robles Fernandez
[aut, cre] |
| Maintainer: |
Angel Luis Robles Fernandez <a.l.robles.fernandez at gmail.com> |
| BugReports: |
https://github.com/xsdm-project/xsdm-devel/issues |
| License: |
AGPL (≥ 3) |
| URL: |
https://xsdm-project.github.io/xsdm/,
https://xsdm-project.github.io/xsdm-devel/ |
| NeedsCompilation: |
yes |
| SystemRequirements: |
GNU make, C++17 |
| Citation: |
xsdm citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
xsdm results |