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-4.5)SSDM_0.2.9.zip(r-4.4)SSDM_0.2.9.zip(r-4.3)
SSDM_0.2.9.tgz(r-4.4-any)SSDM_0.2.9.tgz(r-4.3-any)
SSDM_0.2.9.tar.gz(r-4.5-noble)SSDM_0.2.9.tar.gz(r-4.4-noble)
SSDM_0.2.9.tgz(r-4.4-emscripten)SSDM_0.2.9.tgz(r-4.3-emscripten)
SSDM.pdf |SSDM.html✨
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 6 months agofrom:fa784cbe16. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 11 2024 |
R-4.5-win | OK | Nov 11 2024 |
R-4.5-linux | OK | Nov 11 2024 |
R-4.4-win | OK | Nov 11 2024 |
R-4.4-mac | OK | Nov 11 2024 |
R-4.3-win | OK | Nov 11 2024 |
R-4.3-mac | OK | Nov 11 2024 |
Exports:%>%ensembleensemble_modellingevaluateguiload_esdmload_occload_stackload_varmapDiversitymodellingplotprojectsave.esdmsave.stackstack_modellingstackingupdate
Dependencies:base64encbslibcachemclassclassIntclicodetoolscolorspacecommonmarkcrayoncrosstalkDBIdigestdismodoParalleldotCall64e1071earthevaluatefansifarverfastmapfieldsfontawesomeforeachFormulafsgbmggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvisobanditeratorsitertoolsjquerylibjsonliteKernSmoothknitrlabelinglaterlatticelazyevalleafletleaflet.providerslifecyclemagrittrmapsMASSMatrixmemoisemgcvmimemunsellnlmennetpillarpkgconfigplotmoplotrixplyrpngpoibinpromisesproxyR6randomForestrappdirsrasterRColorBrewerRcppreshape2rlangrmarkdownrparts2sassscalessdmsfshinyshinydashboardsourcetoolsspspamspThinstringistringrsurvivalterratibbletinytexunitsutf8vctrsviridisLitewithrwkxfunxtableyaml