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 |
Reference manual: | maskRangeR.pdf |
Vignettes: |
Version Updates Function Directory maskRangeR: Improving spatial and temporal accuracy of species distribution models |
Package source: | maskRangeR_1.1.tar.gz |
Windows binaries: | r-devel: maskRangeR_1.1.zip, r-release: maskRangeR_1.1.zip, r-oldrel: maskRangeR_1.1.zip |
macOS binaries: | r-release (arm64): maskRangeR_1.1.tgz, r-oldrel (arm64): maskRangeR_1.1.tgz, r-release (x86_64): maskRangeR_1.1.tgz, r-oldrel (x86_64): maskRangeR_1.1.tgz |
Old sources: | maskRangeR archive |
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