Package: dynamicSDM 1.3.4
dynamicSDM: Species Distribution and Abundance Modelling at High Spatio-Temporal Resolution
A collection of novel tools for generating species distribution and abundance models (SDM) that are dynamic through both space and time. These highly flexible functions incorporate spatial and temporal aspects across key SDM stages; including when cleaning and filtering species occurrence data, generating pseudo-absence records, assessing and correcting sampling biases and autocorrelation, extracting explanatory variables and projecting distribution patterns. Throughout, functions utilise Google Earth Engine and Google Drive to minimise the computing power and storage demands associated with species distribution modelling at high spatio-temporal resolution.
Authors:
dynamicSDM_1.3.4.tar.gz
dynamicSDM_1.3.4.zip(r-4.5)dynamicSDM_1.3.4.zip(r-4.4)dynamicSDM_1.3.4.zip(r-4.3)
dynamicSDM_1.3.4.tgz(r-4.4-any)dynamicSDM_1.3.4.tgz(r-4.3-any)
dynamicSDM_1.3.4.tar.gz(r-4.5-noble)dynamicSDM_1.3.4.tar.gz(r-4.4-noble)
dynamicSDM_1.3.4.tgz(r-4.4-emscripten)dynamicSDM_1.3.4.tgz(r-4.3-emscripten)
dynamicSDM.pdf |dynamicSDM.html✨
dynamicSDM/json (API)
NEWS
# Install 'dynamicSDM' in R: |
install.packages('dynamicSDM', repos = c('https://r-a-dobson.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/r-a-dobson/dynamicsdm/issues
- sample_cov_data - Sample projection covariates three variables across for southern Africa.
- sample_events_data - Sample e-Bird sampling event records
- sample_explan_data - Sample species occurrence records with associated dynamic explanatory variables
- sample_extent_data - MULTIPOLYGON object for the extent of southern Africa
- sample_filt_data - Sample of filtered species occurrence records
- sample_occ_data - Sample species occurrence records
dynamicsdmgoogle-earth-enginegoogledrivesdmspatiotemporalspatiotemporal-data-analysisspatiotemporal-forecastingspecies-distribution-modellingspecies-distributions
Last updated 5 months agofrom:a0c4253504. Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win | WARNING | Oct 31 2024 |
R-4.5-linux | WARNING | Oct 31 2024 |
R-4.4-win | WARNING | Oct 31 2024 |
R-4.4-mac | WARNING | Oct 31 2024 |
R-4.3-win | WARNING | Oct 31 2024 |
R-4.3-mac | WARNING | Oct 31 2024 |
Exports:%>%brt_fitconvert_gbifdynamic_projdynamic_proj_covariatesdynamic_proj_datesdynamic_proj_GIFextract_buffered_coordsextract_buffered_rasterextract_coords_combineextract_dynamic_coordsextract_dynamic_rasterextract_static_coordsget_moving_windowspatiotemp_autocorrspatiotemp_biasspatiotemp_blockspatiotemp_checkspatiotemp_extentspatiotemp_pseudoabsspatiotemp_resolutionspatiotemp_thinspatiotemp_weights
Dependencies:askpassbase64encbitbit64bslibcachemclassclassIntclicliprcolorspacecpp11crayoncrosstalkcurlDBIdigestdplyre1071evaluatefansifarverfastmapfontawesomefsgarglegenericsgeojsonsfgeometriesgluegoogledriveherehighrhmshtmltoolshtmlwidgetshttrjquerylibjsonifyjsonliteKernSmoothknitrlabelinglatticelazyevalleafemleafletleaflet.providerslifecyclelubridatemagrittrMASSMatrixmemoisemimemunsellopensslpillarpkgconfigpngprettyunitsprocessxprogressproxypspurrrR6rapidjsonrrappdirsrasterRColorBrewerRcppRcppTOMLreadrreticulatergeerlangrmarkdownrprojrootrstudioapis2sassscalessfsfheadersspstringistringrsysterratibbletidyrtidyselecttimechangetinytextzdbunitsutf8uuidvctrsviridisLitevroomwithrwkxfunyaml
dynamicSDM: Dynamic distribution projections
Rendered fromvignette4_projecting.Rmd
usingknitr::rmarkdown
on Oct 31 2024.Last update: 2023-06-10
Started: 2023-02-05
dynamicSDM: Explanatory variable data
Rendered fromvignette2_explanatory_data.Rmd
usingknitr::rmarkdown
on Oct 31 2024.Last update: 2023-03-16
Started: 2023-02-05
dynamicSDM: Model fitting and autocorrelation
Rendered fromvignette3_modelling.Rmd
usingknitr::rmarkdown
on Oct 31 2024.Last update: 2023-06-09
Started: 2023-02-05
dynamicSDM: Response variable data
Rendered fromvignette1_response_data.Rmd
usingknitr::rmarkdown
on Oct 31 2024.Last update: 2023-06-09
Started: 2023-02-05