colorist: Coloring Wildlife Distributions in Space-Time

Color and visualize wildlife distributions in space-time using raster data. In addition to enabling display of sequential change in distributions through the use of small multiples, 'colorist' provides functions for extracting several features of interest from a sequence of distributions and for visualizing those features using HCL (hue-chroma-luminance) color palettes. Resulting maps allow for "fair" visual comparison of intensity values (e.g., occurrence, abundance, or density) across space and time and can be used to address questions about where, when, and how consistently a species, group, or individual is likely to be found.

Version: 0.1.0
Depends: R (≥ 3.2.0)
Imports: colorspace, ggplot2, magrittr, raster, scales, stats, tidyr
Published: 2020-03-26
Author: Justin Schuetz ORCID iD [aut], Matthew Strimas-Mackey ORCID iD [aut, cre], Tom Auer ORCID iD [aut]
Maintainer: Matthew Strimas-Mackey <mes335 at cornell.edu>
BugReports: https://github.com/mstrimas/colorist/issues
License: GPL-3
URL: https://github.com/mstrimas/colorist
NeedsCompilation: no
Materials: README NEWS
CRAN checks: colorist results

Downloads:

Reference manual: colorist.pdf
Package source: colorist_0.1.0.tar.gz
Windows binaries: r-devel: colorist_0.1.0.zip, r-devel-gcc8: colorist_0.1.0.zip, r-release: colorist_0.1.0.zip, r-oldrel: colorist_0.1.0.zip
OS X binaries: r-release: colorist_0.1.0.tgz, r-oldrel: not available

Linking:

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