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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