Coloring Wildlife Distributions in Space-Time
c(person(given = "Justin",
family = "Schuetz",
role = "aut",
email = "justinschuetz@gmail.com",
comment = c(ORCID = "0000-0002-6163-538X")),
person(given = "Matthew",
family = "Strimas-Mackey",
role = c("aut", "cre"),
email = "mes335@cornell.edu",
comment = c(ORCID = "0000-0001-8929-7776")),
person(given = "Tom",
family = "Auer",
role = "aut",
email = "mta45@cornell.edu",
comment = c(ORCID = "0000-0001-8619-7147")))
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.
colorspace, ggplot2, magrittr, raster, scales, stats, tidyr

colorspace, ggplot2, grDevices, magrittr, raster, scales,
stats, tidyr
knitr, RColorBrewer, rmarkdown, sf, rnaturalearth, tigris

Colorize Old Images Using the 'DeOldify' Image Colorization API
person("David", "Zumbach", , "david.zumbach@gfzb.ch", c("aut", "cre"))
Call the 'DeOldify' <https://github.com/jantic/DeOldify> image
colorization API on 'DeepAI'<https://deepai.org/machine-learning-model/colorizer>
to colorize black and white images.
httr, magick, purrr, dplyr, stringr, tibble, magrittr

Color Palettes using Colormaps Node Module
person("Bhaskar", "Karambelkar", email = "bhaskarvk@gmail.com",
role = c("aut", "cre"))
Allows to generate colors from palettes defined in the colormap module of 'Node.js'. (see <https://github.com/bpostlethwaite/colormap> for more information). In total it provides 44 distinct palettes made from sequential and/or diverging colors. In addition to the pre defined palettes you can also specify your own set of colors. There are also scale functions that can be used with 'ggplot2'.