The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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.

Version: 1.3.4
Depends: R (≥ 3.5.0)
Imports: dplyr, googledrive, lubridate, magrittr, reticulate, rgee, stats, terra, tidyr, grDevices, graphics, methods, utils, sf, readr
Suggests: ape, CoordinateCleaner, covr, gargle, gbm, ggplot2, knitr, magick, matrixStats, rmarkdown, spThin, stars, testthat (≥ 3.0.0), viridis
Published: 2024-06-28
DOI: 10.32614/CRAN.package.dynamicSDM
Author: Rachel Dobson ORCID iD [aut, cre, ctb], Andy J. Challinor ORCID iD [aut, ctb], Robert A. Cheke ORCID iD [aut, ctb], Stewart Jennings ORCID iD [aut, ctb], Stephen G. Willis ORCID iD [aut, ctb], Martin Dallimer ORCID iD [aut, ctb]
Maintainer: Rachel Dobson <eerdo at leeds.ac.uk>
BugReports: https://github.com/r-a-dobson/dynamicSDM/issues
License: GPL (≥ 3)
URL: https://github.com/r-a-dobson/dynamicSDM
NeedsCompilation: no
Citation: dynamicSDM citation info
Materials: README NEWS
CRAN checks: dynamicSDM results

Documentation:

Reference manual: dynamicSDM.pdf
Vignettes: dynamicSDM: Response variable data
dynamicSDM: Explanatory variable data
dynamicSDM: Model fitting and autocorrelation
dynamicSDM: Dynamic distribution projections

Downloads:

Package source: dynamicSDM_1.3.4.tar.gz
Windows binaries: r-devel: dynamicSDM_1.3.4.zip, r-release: dynamicSDM_1.3.4.zip, r-oldrel: dynamicSDM_1.3.4.zip
macOS binaries: r-release (arm64): dynamicSDM_1.3.4.tgz, r-oldrel (arm64): dynamicSDM_1.3.4.tgz, r-release (x86_64): dynamicSDM_1.3.4.tgz, r-oldrel (x86_64): dynamicSDM_1.3.4.tgz
Old sources: dynamicSDM archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=dynamicSDM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.