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Escaping RGBland: Selecting colors for statistical graphics

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Author Info

  • Zeileis, Achim
  • Hornik, Kurt
  • Murrell, Paul

Abstract

Statistical graphics are often augmented by the use of color coding information contained in some variable. When this involves the shading of areas (and not only points or lines)--e.g., as in bar plots, pie charts, mosaic displays or heatmaps--it is important that the colors are perceptually based and do not introduce optical illusions or systematic bias. Based on the perceptually-based Hue-Chroma-Luminance (HCL) color space suitable color palettes are derived for coding categorical data (qualitative palettes) and numerical variables (sequential and diverging palettes).

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File URL: http://www.sciencedirect.com/science/article/B6V8V-4VM43VH-1/2/b63f4a1a558083ab2b98f12e446d1ac7
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Bibliographic Info

Article provided by Elsevier in its journal Computational Statistics & Data Analysis.

Volume (Year): 53 (2009)
Issue (Month): 9 (July)
Pages: 3259-3270

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Handle: RePEc:eee:csdana:v:53:y:2009:i:9:p:3259-3270

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Web page: http://www.elsevier.com/locate/csda

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References

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  1. David Meyer & Achim Zeileis & Kurt Hornik, . "The Strucplot Framework: Visualizing Multi-way Contingency Tables with vcd," Journal of Statistical Software, American Statistical Association, vol. 17(i03).
  2. Kneib, Thomas, 2006. "Mixed model-based inference in geoadditive hazard regression for interval-censored survival times," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 777-792, November.
  3. Gelfand, Alan E. & Banerjee, Sudipto & Sirmans, C.F. & Tu, Yong & Eng Ong, Seow, 2007. "Multilevel modeling using spatial processes: Application to the Singapore housing market," Computational Statistics & Data Analysis, Elsevier, vol. 51(7), pages 3567-3579, April.
  4. Harezlak, Jaroslaw & Coull, Brent A. & Laird, Nan M. & Magari, Shannon R. & Christiani, David C., 2007. "Penalized solutions to functional regression problems," Computational Statistics & Data Analysis, Elsevier, vol. 51(10), pages 4911-4925, June.
  5. Tenenhaus, Arthur & Giron, Alain & Viennet, Emmanuel & Bera, Michel & Saporta, Gilbert & Fertil, Bernard, 2007. "Kernel logistic PLS: A tool for supervised nonlinear dimensionality reduction and binary classification," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4083-4100, May.
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Cited by:
  1. Liesbeth C. de Wreede & Marta Fiocco & Hein Putter, . "mstate: An R Package for the Analysis of Competing Risks and Multi-State Models," Journal of Statistical Software, American Statistical Association, vol. 38(i07).
  2. John Fox & Jangman Hong, . "Effect Displays in R for Multinomial and Proportional-Odds Logit Models: Extensions to the effects Package," Journal of Statistical Software, American Statistical Association, vol. 32(i01).
  3. Tseng, George C., 2010. "Quantile map: Simultaneous visualization of patterns in many distributions with application to tandem mass spectrometry," Computational Statistics & Data Analysis, Elsevier, vol. 54(4), pages 1124-1137, April.
  4. Emura, Takeshi & Lin, Yi-Shuan, 2013. "A comparison of normal approximation rules for attribute control charts," MPRA Paper 51029, University Library of Munich, Germany.
  5. Reto Stauffer & Georg J. Mayr & Markus Dabernig & Achim Zeileis, 2013. "Somewhere over the Rainbow: How to Make Effective Use of Colors in Meteorological Visualizations," Working Papers 2013-37, Faculty of Economics and Statistics, University of Innsbruck.
  6. Matthias Templ & Andreas Alfons & Peter Filzmoser, 2012. "Exploring incomplete data using visualization techniques," Advances in Data Analysis and Classification, Springer, vol. 6(1), pages 29-47, April.

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