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: 0.1.3 Depends: R (≥ 3.2.0) Imports: colorspace, ggplot2, grDevices, magrittr, raster, rlang, scales, stats, tidyr Suggests: knitr, RColorBrewer, rmarkdown, sf, rnaturalearth, tigris Published: 2024-04-29 DOI: 10.32614/CRAN.package.colorist Author: Justin Schuetz [aut], Matthew Strimas-Mackey [aut, cre], Tom Auer [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: NEWS CRAN checks: colorist results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=colorist to link to this page.
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