maskRangeR: Mask Species Geographic Ranges

Mask ranges based on expert knowledge or remote sensing layers. These tools can be combined to quantitatively and reproducibly generate a new map or to update an existing map. Methods include expert opinion and data-driven tools to generate thresholds for binary masks.

Version: 1.1
Depends: R (≥ 3.4.0)
Imports: dplyr, e1071, lubridate, magrittr, raster, sp, stats, utils
Suggests: dismo, testthat, knitr, rmarkdown, wallace
Published: 2022-05-11
Author: Cory Merow [aut, cre], Peter J. Galante [aut], Jamie M. Kass [aut], Cecina Babich Morrow [aut], Valentina Grisales Betancur [aut]
Maintainer: Cory Merow <cory.merow at gmail.com>
License: GPL-3
NeedsCompilation: no
CRAN checks: maskRangeR results

Documentation:

Reference manual: maskRangeR.pdf
Vignettes: Version Updates
Function Directory
maskRangeR: Improving spatial and temporal accuracy of species distribution models

Downloads:

Package source: maskRangeR_1.1.tar.gz
Windows binaries: r-prerel: maskRangeR_1.1.zip, r-release: maskRangeR_1.1.zip, r-oldrel: maskRangeR_1.1.zip
macOS binaries: r-prerel (arm64): maskRangeR_1.1.tgz, r-release (arm64): maskRangeR_1.1.tgz, r-oldrel (arm64): maskRangeR_1.1.tgz, r-prerel (x86_64): maskRangeR_1.1.tgz, r-release (x86_64): maskRangeR_1.1.tgz
Old sources: maskRangeR archive

Linking:

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