A tool which allows users to create and evaluate ensembles of species distribution model (SDM) predictions. Functionality is offered through R functions or a GUI (R Shiny app). This tool can assist users in identifying spatial uncertainties and making informed conservation and management decisions. The package is further described in Woodman et al (2019) <doi:10.1111/2041-210X.13283>.
| Version: | 0.4.4 |
| Depends: | R (≥ 4.0.0) |
| Imports: | dplyr (≥ 1.1),magrittr, methods,purrr,rlang,ROCR,sf (≥1.0),shiny, stats,units |
| Suggests: | colorRamps,colourpicker,dichromat,DT,knitr,leafem,leaflet,maps,raster,RColorBrewer,rmarkdown,shinybusy,shinydashboard,shinyjs,testthat (≥ 2.1.0),tmap (≥ 2.3),viridis,zip |
| Published: | 2024-10-07 |
| DOI: | 10.32614/CRAN.package.eSDM |
| Author: | Sam Woodman [aut, cre] |
| Maintainer: | Sam Woodman <sam.woodman at noaa.gov> |
| BugReports: | https://github.com/swfsc/eSDM/issues/ |
| License: | Apache License (== 2) |
| URL: | https://github.com/swfsc/eSDM/,https://swfsc.github.io/eSDM/ |
| NeedsCompilation: | no |
| Citation: | eSDM citation info |
| Materials: | NEWS |
| CRAN checks: | eSDM results |