Package: SSDM 0.2.9
SSDM: Stacked Species Distribution Modelling
Allows to map species richness and endemism based on stacked species distribution models (SSDM). Individuals SDMs can be created using a single or multiple algorithms (ensemble SDMs). For each species, an SDM can yield a habitat suitability map, a binary map, a between-algorithm variance map, and can assess variable importance, algorithm accuracy, and between- algorithm correlation. Methods to stack individual SDMs include summing individual probabilities and thresholding then summing. Thresholding can be based on a specific evaluation metric or by drawing repeatedly from a Bernoulli distribution. The SSDM package also provides a user-friendly interface.
Authors:
SSDM_0.2.9.tar.gz
SSDM_0.2.9.zip(r-4.7)SSDM_0.2.9.zip(r-4.6)SSDM_0.2.9.zip(r-4.5)
SSDM_0.2.9.tgz(r-4.6-any)SSDM_0.2.9.tgz(r-4.5-any)
SSDM_0.2.9.tar.gz(r-4.7-any)SSDM_0.2.9.tar.gz(r-4.6-any)
SSDM_0.2.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SSDM/json (API)
NEWS
| # Install 'SSDM' in R: |
| install.packages('SSDM', repos = c('https://sylvainschmitt.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sylvainschmitt/ssdm/issues
- Env - A stack of three environmental variables
- Occurrences - Plant occurrences data frame
Last updated from:e481437a4d. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 431 | ||
| source / vignettes | OK | 279 | ||
| linux-release-x86_64 | OK | 349 | ||
| macos-release-arm64 | OK | 259 | ||
| macos-oldrel-arm64 | OK | 339 | ||
| windows-devel | OK | 393 | ||
| windows-release | OK | 405 | ||
| windows-oldrel | OK | 404 | ||
| wasm-release | OK | 158 |
Exports:%>%ensembleensemble_modellingevaluateguiload_esdmload_occload_stackload_varmapDiversitymodellingplotprojectsave.esdmsave.stackstack_modellingstackingupdate
Dependencies:base64encbslibcachemclassclassIntclicodetoolscommonmarkcpp11crosstalkDBIdigestdismodoParalleldotCall64e1071earthevaluatefarverfastmapfieldsfontawesomeforeachFormulafsgbmggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvisobanditeratorsitertoolsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevalleafletleaflet.providerslifecyclemagrittrmapsMASSMatrixmemoisemgcvmimenlmennetotelplotmoplotrixplyrpngpoibinpromisesproxyR6randomForestrappdirsrasterRColorBrewerRcppreshape2rlangrmarkdownrparts2S7sassscalessdmsfshinyshinydashboardsourcetoolsspspamspThinstringistringrsurvivalterratinytexunitsvctrsviridisLitewithrwkxfunxtableyaml
