viridis: Default Color Maps from 'matplotlib'

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: 0.6.0
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, rasterVis, httr, mapproj, vdiffr, svglite (≥ 1.2.0), testthat, covr, rmarkdown, rgdal
Published: 2021-04-15
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

Downloads:

Reference manual: viridis.pdf
Vignettes: Introduction to the viridis color maps
Package source: viridis_0.6.0.tar.gz
Windows binaries: r-devel: viridis_0.6.0.zip, r-release: viridis_0.5.1.zip, r-oldrel: viridis_0.5.1.zip
macOS binaries: r-release: viridis_0.6.0.tgz, r-oldrel: viridis_0.6.0.tgz
Old sources: viridis archive

Reverse dependencies:

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

Linking:

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