viridis (0.3)

Matplotlib Default Color Map.

https://github.com/sjmgarnier/viridis
http://cran.r-project.org/web/packages/viridis

Port of the new Matplotlib default color map ('viridis') to R. This color map is designed in such a way that it will analytically be perfectly perceptually-uniform, both in regular form and also when converted to black-and-white. It is also designed to be perceived by readers with the most common form of color blindness.

Maintainer: Simon Garnier
Author(s): Simon Garnier [aut, cre], Noam Ross [ctb, cph] (Continuous scale), Bob Rudis [ctb, cph] (Combined scales)

License: MIT + file LICENSE

Uses: ggplot2, gridExtra, colorspace, dichromat, hexbin, MASS, rasterVis, scales, knitr, httr
Reverse depends: heatmaply, permutes, reinsureR
Reverse suggests: ARPobservation, autoimage, bigstatsr, colorspace, cowplot, CSFA, cytometree, eclust, gbm, getCRUCLdata, ggjoy, ggridges, glmmfields, grattan, httk, IceCast, kernelTDA, lineqGPR, metR, mlbgameday, pdSpecEst, pksensi, platetools, powerlmm, prioritizrdata, QPot, radiomics, rayshader, refuge, Rmagic, ropenaq, rsimsum, SIBER, sjPlot, spant, spbabel, spectralGraphTopology, stacomiR, stars, stormwindmodel, sugrrants, themetagenomics

Released almost 4 years ago.