Package: voluModel 0.2.2

voluModel: Modeling Species Distributions in Three Dimensions

Facilitates modeling species' ecological niches and geographic distributions based on occurrences and environments that have a vertical as well as horizontal component, and projecting models into three-dimensional geographic space. Working in three dimensions is useful in an aquatic context when the organisms one wishes to model can be found across a wide range of depths in the water column. The package also contains functions to automatically generate marine training model training regions using machine learning, and interpolate and smooth patchily sampled environmental rasters using thin plate splines. Davis Rabosky AR, Cox CL, Rabosky DL, Title PO, Holmes IA, Feldman A, McGuire JA (2016) <doi:10.1038/ncomms11484>. Nychka D, Furrer R, Paige J, Sain S (2021) <doi:10.5065/D6W957CT>. Pateiro-Lopez B, Rodriguez-Casal A (2022) <https://CRAN.R-project.org/package=alphahull>.

Authors:Hannah L. Owens [aut, cre], Carsten Rahbek [aut]

voluModel_0.2.2.tar.gz
voluModel_0.2.2.zip(r-4.5)voluModel_0.2.2.zip(r-4.4)voluModel_0.2.2.zip(r-4.3)
voluModel_0.2.2.tgz(r-4.4-any)voluModel_0.2.2.tgz(r-4.3-any)
voluModel_0.2.2.tar.gz(r-4.5-noble)voluModel_0.2.2.tar.gz(r-4.4-noble)
voluModel_0.2.2.tgz(r-4.4-emscripten)voluModel_0.2.2.tgz(r-4.3-emscripten)
voluModel.pdf |voluModel.html
voluModel/json (API)
NEWS

# Install 'voluModel' in R:
install.packages('voluModel', repos = c('https://hannahlowens.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hannahlowens/volumodel/issues

Pkgdown site:https://hannahlowens.github.io

On CRAN:

6.54 score 8 stars 35 scripts 295 downloads 23 exports 100 dependencies

Last updated 4 months agofrom:3fa65b3ef3. Checks:6 OK, 1 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 14 2025
R-4.5-winOKFeb 14 2025
R-4.5-linuxOKFeb 14 2025
R-4.4-winOKFeb 14 2025
R-4.4-macERRORFeb 14 2025
R-4.3-winOKFeb 14 2025
R-4.3-macOKFeb 14 2025

Exports:areColorsblendColorbottomRastercenterPointRasterTemplatecolumnParsediversityStackdownsampleinterpolateRastermarineBackgroundMESS3DmSampling2DmSampling3DoneRasterPlotplotLayerspointCompMappointMaprasterCompsmoothRastertestIntersectiontransectPlottranspColorverticalSamplexyzSample

Dependencies:alphahullaskpassbackportscachemcheckmateclassclassIntclicolorspacecommonmarkcpp11curldata.tableDBIdeldirdigestdotCall64dplyre1071fansifarverfastmapfieldsFormulaformula.toolsgenericsggplot2ggtextgluegridtextgtablehttrinterpisobandjpegjsonliteKernSmoothlabelinglatticelifecyclelubridatemagrittrmapsmarkdownMASSMatrixmemoisemetRmgcvmimemodEvAmunsellnlmeopenssloperator.toolspbapplypillarpkgconfigplyrpngpolyclipproxypurrrR.methodsS3R.ooR.utilsR6rangeBuilderRColorBrewerRcppRcppEigenrlangrnaturalearths2scalessfsgeostatspspamspatstat.dataspatstat.geomspatstat.randomspatstat.univarspatstat.utilssplancsstringistringrsysterratibbletidyselecttimechangeunitsutf8vctrsviridisLitewithrwkxfunxml2

Introduction to voluModel

Rendered froma_Introduction.Rmdusingknitr::rmarkdownon Feb 14 2025.

Last update: 2024-08-20
Started: 2022-02-14

Processing Raster Data

Rendered fromb_RasterProcessing.Rmdusingknitr::rmarkdownon Feb 14 2025.

Last update: 2023-04-06
Started: 2022-02-14

Environmental Data Sampling

Rendered fromc_DataSampling.Rmdusingknitr::rmarkdownon Feb 14 2025.

Last update: 2024-08-20
Started: 2022-02-14

Visualization Tools

Rendered fromd_Visualization.Rmdusingknitr::rmarkdownon Feb 14 2025.

Last update: 2024-08-20
Started: 2022-02-14

3D Niche Modeling with the GLM Algorithm

Rendered frome_GLMWorkflow.Rmdusingknitr::rmarkdownon Feb 14 2025.

Last update: 2024-08-20
Started: 2022-02-14