A simple set of classes and methods for mapping between scalar intensity values and colors. There is also support for layering maps on top of one another using alpha composition.

Color palettes for EPL, MLB, NBA, NHL, and NFL teams.

A color mapping is generated according to the break values and corresponding colors.
    Other colors are generated by interpolating in a certain color space. The functions were part
    of the 'circlize' package <https://CRAN.R-project.org/package=circlize>.

Iterate and repel visually similar colors away in various 'ggplot2' plots. When many groups are plotted at the same time on multiple axes, for instance stacked bars or scatter plots, effectively ordering colors becomes difficult. This tool iterates through color combinations to find the best solution to maximize visual distinctness of nearby groups, so plots are more friendly toward colorblind users. This is achieved by two distance measurements, distance between groups within the plot, and CIELAB color space distances between colors as described in Carter et al., (2018) <doi:10.25039/TR.015.2018>.

Generate multivariate color palettes to represent two-dimensional or three-dimensional data in graphics (in contrast to standard color palettes that represent just one variable). You tell 'colors3d' how to map color space onto your data, and it gives you a color for each data point. You can then use these colors to make plots in base 'R', 'ggplot2', or other graphics frameworks.

Methods and data for color science - color conversions by observer,
        illuminant, and gamma. Color matching functions and chromaticity diagrams.
        Color indices, color differences, and spectral data conversion/analysis.
        This package is deprecated and will someday be removed; for reasons and details please see the README file.

Generation of random colors, possibly with a given hue or a
    given luminosity. This is a port of the JavaScript library
    'randomColor' <https://randomcolor.lllllllllllllllll.com/>.