viridis: Colorblind-Friendly Color Maps for R

Color maps designed to improve graph readability for readers with common forms of color blindness and/or color vision deficiency. The color maps are also perceptually-uniform, both in regular form and also when converted to black-and-white for printing. This package also contains 'ggplot2' bindings for discrete and continuous color and fill scales. A lean version of the package called 'viridisLite' that does not include the 'ggplot2' bindings can be found at <https://cran.r-project.org/package=viridisLite>.

Version: 0.6.2
Depends: R (≥ 2.10), viridisLite (≥ 0.4.0)
Imports: stats, ggplot2 (≥ 1.0.1), gridExtra
Suggests: hexbin (≥ 1.27.0), scales, MASS, knitr, dichromat, colorspace, raster, rasterVis, httr, mapproj, vdiffr, svglite (≥ 1.2.0), testthat, covr, rmarkdown, rgdal, maps
Published: 2021-10-13
Author: Simon Garnier [aut, cre], Noam Ross [ctb, cph], Bob Rudis [ctb, cph], Marco Sciaini [ctb, cph], Antônio Pedro Camargo [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://sjmgarnier.github.io/viridis/, https://github.com/sjmgarnier/viridis/
NeedsCompilation: no
Citation: viridis citation info
Materials: NEWS
In views: Spatial
CRAN checks: viridis results

Documentation:

Reference manual: viridis.pdf
Vignettes: Introduction to the viridis color maps

Downloads:

Package source: viridis_0.6.2.tar.gz
Windows binaries: r-devel: viridis_0.6.2.zip, r-release: viridis_0.6.2.zip, r-oldrel: viridis_0.6.2.zip
macOS binaries: r-release (arm64): viridis_0.6.2.tgz, r-oldrel (arm64): viridis_0.6.2.tgz, r-release (x86_64): viridis_0.6.2.tgz, r-oldrel (x86_64): viridis_0.6.2.tgz
Old sources: viridis archive

Reverse dependencies:

Reverse depends: fields, gamblers.ruin.gameplay, heatmaply, reinsureR
Reverse imports: aweSOM, barcodetrackR, BASiCS, bayesvl, behaviorchange, BiBitR, bioRad, blacksheepr, BNPdensity, c3, CellMixS, cellpypes, ChIPexoQual, ChromSCape, chronicle, CIDER, CINNA, clustMD, clustree, coloc, corHMM, crestr, cydar, cylcop, cytomapper, DegNorm, dendextend, dendroTools, DepecheR, DiagrammeR, diffudist, DIGSS, DiscoRhythm, dissever, distantia, DuoClustering2018, dynaSpec, ecorest, eemR, eesim, effectR, EHRtemporalVariability, ergmclust, escalation, FielDHub, fitbitViz, foodingraph, ForestGapR, forestr, fsbrain, GeneTonic, GenVisR, geouy, ggblanket, ggraph, GGUM, GRaNIE, gwpcormapper, HiCBricks, hmer, Hmisc, idmodelr, imcRtools, Infusion, intensitynet, LDATS, leaflet, lineartestr, loewesadditivity, memoria, mgcViz, miaViz, mlr3viz, moanin, mobirep, monocle, multiplestressR, muscat, nandb, naniar, neatStats, noaastormevents, nullabor, occCite, Ostats, PAMmisc, PheVis, plotdap, pRecipe, proBatch, projectR, promor, qad, RcmdrPlugin.BiclustGUI, RGAN, rmweather, RprobitB, RTCGA, rwty, scater, scUtils, simmr, simplevis, skpr, SleepCycles, sparrow, SPARSEMODr, spatialRF, spatialrisk, spatialTIME, spectralAnalysis, sptotal, SPUTNIK, SRTsim, STdeconvolve, SUMMER, tidygate, tidyHeatmap, TimeSeriesExperiment, tradeSeq, traviz, trip, TSstudio, umiAnalyzer, VDSM, virtualPollen, whoa, wilson, WINS, xadmix, xQTLbiolinks, yaps
Reverse suggests: aggregateBioVar, ARPobservation, bandle, baRulho, bayesmove, BayesSpace, bluster, CancerInSilico, CAST, catmaply, colorspace, condiments, CoordinateCleaner, countland, CSFA, ctpm, cytometree, depmap, destiny, DSjobtracker, eclust, ecochange, ecotraj, ENMTools, eSDM, fastai, gbm, geocmeans, ggcorset, ggpointdensity, ggside, glmmfields, himach, httk, industRial, intSDM, iNZightPlots, iSEE, leri, marqLevAlg, metR, moderndive, MOSS, nosoi, OmicInt, palr, pdSpecEst, permutes, platetools, Platypus, prioriactions, quadcleanR, rangeMapper, rayshader, riverconn, rKOMICS, Rmagic, roads, semtree, SFSI, SIBER, SimSurvey, SingleR, spbabel, spectralGraphTopology, stacomiR, stars, starvz, statebins, sugrrants, surveyvoi, tcpl, tidyjson, troopdata, ufs, wacolors

Linking:

Please use the canonical form https://CRAN.R-project.org/package=viridis to link to this page.