viridis: Default Color Maps from 'matplotlib'

Implementation of the 'viridis' - the default -, 'magma', 'plasma', 'inferno', and 'cividis' color maps for 'R'. 'viridis', 'magma', 'plasma', and 'inferno' are ported from 'matplotlib' <http://matplotlib.org/>, a popular plotting library for 'python'. 'cividis', was developed by Jamie R. Nuñez and Sean M. Colby. These color maps are designed in such a way that they will analytically be perfectly perceptually-uniform, both in regular form and also when converted to black-and-white. They are also designed to be perceived by readers with the most common form of color blindness (all color maps in this package) and color vision deficiency ('cividis' only).

Version: 0.5.1
Depends: R (≥ 2.10), viridisLite (≥ 0.3.0)
Imports: stats, ggplot2 (≥ 1.0.1), gridExtra
Suggests: hexbin (≥ 1.27.0), scales, MASS, knitr, dichromat, colorspace, rasterVis, httr, mapproj, vdiffr, svglite (≥ 1.2.0), testthat, covr, rmarkdown, rgdal
Published: 2018-03-29
Author: Simon Garnier [aut, cre], Noam Ross [ctb, cph], Bob Rudis [ctb, cph], Marco Sciaini [ctb, cph], Cédric Scherer [ctb, cph]
Maintainer: Simon Garnier <garnier at njit.edu>
BugReports: https://github.com/sjmgarnier/viridis/issues
License: MIT + file LICENSE
URL: https://github.com/sjmgarnier/viridis
NeedsCompilation: no
In views: Spatial
CRAN checks: viridis results

Downloads:

Reference manual: viridis.pdf
Vignettes: Intro to the viridis color palette
Package source: viridis_0.5.1.tar.gz
Windows binaries: r-devel: viridis_0.5.1.zip, r-release: viridis_0.5.1.zip, r-oldrel: viridis_0.5.1.zip
macOS binaries: r-release: viridis_0.5.1.tgz, r-oldrel: viridis_0.5.1.tgz
Old sources: viridis archive

Reverse dependencies:

Reverse depends: bsem, heatmaply, reinsureR
Reverse imports: accept, amber, BASiCS, bayesvl, behaviorchange, BiBitR, bioRad, blacksheepr, BNPdensity, c3, CellMixS, ChIPexoQual, ChromSCape, CINNA, clustMD, clustree, corHMM, cydar, cytomapper, DegNorm, dendextend, dendroTools, DepecheR, DiagrammeR, DiscoRhythm, dissever, distantia, DuoClustering2018, dyngen, ecochange, ecorest, eemR, eesim, effectR, EHRtemporalVariability, escalation, evaluator, foodingraph, ForestGapR, forestr, GeneTonic, GenVisR, geouy, ggraph, GGUM, HiCBricks, Hmisc, idmodelr, Infusion, LDATS, leaflet, lineartestr, loewesadditivity, memoria, mgcViz, monocle, mptools, muscat, nandb, naniar, noaastormevents, nullabor, pdp, permutes, plotdap, proBatch, projectR, pterrace, qad, quadmesh, RcmdrPlugin.BiclustGUI, rmweather, RTCGA, rwty, scater, scUtils, simmr, simplevis, skpr, spatialrisk, spectralAnalysis, sptotal, SPUTNIK, SUMMER, tadaatoolbox, tidygate, tidyHeatmap, TimeSeriesExperiment, tradeSeq, trip, TSstudio, ufs, userfriendlyscience, viewshed3d, virtualPollen, wilson, zGPS.AO
Reverse suggests: aggregateBioVar, ARPobservation, baRulho, BayesSpace, bluster, CancerInSilico, CAST, catmaply, colorspace, CoordinateCleaner, CSFA, cytometree, depmap, dynaSpec, eclust, ENMTools, eSDM, fsbrain, gbm, getCRUCLdata, ggpointdensity, glmmfields, grattan, httk, IceCast, iNZightPlots, iSEE, kernelTDA, leri, lineqGPR, marqLevAlg, metagam, metR, moderndive, nosoi, occCite, palr, pdSpecEst, platetools, powerlmm, radiomics, rayshader, refuge, rGEDI, Rmagic, ropenaq, rsimsum, samc, SIBER, SimSurvey, SingleR, soilDB, spbabel, spectralGraphTopology, stars, statebins, stormwindmodel, sugrrants, tcensReg, themetagenomics, tidyjson

Linking:

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