sdmpredictors: Species Distribution Modelling Predictor Datasets

Terrestrial and marine predictors for species distribution modelling from multiple sources, including WorldClim <https://www.worldclim.org/>,, ENVIREM <https://envirem.github.io/>, Bio-ORACLE <https://bio-oracle.org/> and MARSPEC <http://www.marspec.org/>.

Version: 0.2.12
Depends: R (≥ 3.2.5)
Imports: R.utils (≥ 2.4.0), stats, utils, raster, rgdal
Suggests: ggplot2, reshape2, testthat, knitr, rmarkdown, httr
Published: 2022-02-24
Author: Samuel Bosch [aut], Lennert Tyberghein [ctb], Olivier De Clerck [ctb], Salvador Fernandez [aut, cre], Lennert Schepers [ctb]
Maintainer: Salvador Fernandez <salvador.fernandez at vliz.be>
BugReports: https://github.com/lifewatch/sdmpredictors/issues
License: MIT + file LICENSE
URL: http://lifewatch.github.io/sdmpredictors/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: sdmpredictors results

Documentation:

Reference manual: sdmpredictors.pdf
Vignettes: sdmpredictors quickstart guide

Downloads:

Package source: sdmpredictors_0.2.12.tar.gz
Windows binaries: r-devel: sdmpredictors_0.2.12.zip, r-release: sdmpredictors_0.2.12.zip, r-oldrel: sdmpredictors_0.2.12.zip
macOS binaries: r-release (arm64): sdmpredictors_0.2.12.tgz, r-oldrel (arm64): sdmpredictors_0.2.12.tgz, r-release (x86_64): sdmpredictors_0.2.12.tgz, r-oldrel (x86_64): sdmpredictors_0.2.12.tgz
Old sources: sdmpredictors archive

Linking:

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