References

A detailed introduction to the tools underlying hclwizard are given in Zeileis et al. (2019). HCL-based color palettes for statistical graphics had first been introduced in Zeileis et al. (2009) with further adaptations and information in Stauffer et al. (2015).

  • Achim Zeileis et al. (2020). “colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes.” Journal of Statistical Software, 96(1), 1-49. doi:10.18637/jss.v096.i01
  • Achim Zeileis, Ross Ihaka, Paul Murrell, Kurt Hornik, Jason C. Fisher, Reto Stauffer, Claus O. Wilke, Claire D. McWhite (2019). “colorspace: A Toolbox for Manipulating and Assessing Colors and Palettes.”
    http://colorspace.R-Forge.R-project.org/
  • Achim Zeileis, Kurt Hornik, Paul Murrell (2009). “Escaping RGBland: Selecting Colors for Statistical Graphics.” Computational Statistics & Data Analysis, 53(9), 3259-3270. [PDF preprint]
    doi:10.1016/j.csda.2008.11.033
  • Reto Stauffer, Georg J. Mayr, Markus Dabernig, Achim Zeileis (2015). “Somewhere over the Rainbow: How to Make Effective Use of Colors in Meteorological Visualizations.” Bulletin of the American Meteorological Society, 96(2), 203-216.
    doi:10.1175/BAMS-D-13-00155.1

Further Reading

  1. BAMS. (1993). Guidelines for Using Color to Depict Meteorological Information: IIPS Subcommittee for Color Guidelines. Bulletin of the American Meteorological Society, 74(9), 1709–1713. https://doi.org/10.1175/1520-0477(1993)074<1709:GFUCTD>2.0.CO;2
  2. Borland, D., & Ii, R. M. T. (2007). Rainbow Color Map (Still) Considered Harmful. IEEE Computer Graphics and Applications, 27(2), 14–17. https://doi.org/10.1109/MCG.2007.323435
  3. Brettel, H., Viénot, F., & Mollon, J. D. (1997). Computerized Simulation of Color Appearance for Dichromats. Journal of the Optical Society of America. A, Optics, Image Science, and Vision, 14(10), 2647–2655. https://doi.org/https://doi.org/10.1364/JOSAA.14.002647
  4. Brewer, C. A. (1997). Spectral Schemes: Controversial Color Use on Maps. Cartography and Geographic Information Systems, 24(4), 203–220. https://doi.org/10.1559/152304097782439231
  5. Fairchild, M. D. (2013). Color Appearance Models. John Wiley and Sons.
  6. Harrower, M. A., & Brewer, C. A. (2003). ColorBrewer.org: An Online Tool for Selecting Color Schemes for Maps. The Cartographic Journal, 40, 27–37. http://ColorBrewer.org/
  7. Healey, C. G. (1996). Choosing Effective Colours for Data Visualization. Visualization ’96 Proceedings, 263–270.
  8. Knoblauch, K. (2002). Color Vision. In S. Yantis & H. Pashler (Eds.), Steven’s Handbook of Experimental Psychology – Sensation and Perception (3rd ed., Vol. 1, pp. 41–75). John Wiley and Sons.
  9. Levkowitz, H., & Herman, G. T. (1992). Color Scales for Image Data. IEEE Computer Graphics and Applications, 12(1), 72–80.
  10. Light, A., & Bartlein, P. J. (2004). The End of the Rainbow? Color Schemes for Improved Data Graphics. Eos, Transactions American Geophysical Union, 85(40), 385–391. https://doi.org/10.1029/2004EO400002
  11. MacEachren, A. M. (1995). How Maps Work: Representation, Visualization, and Design. The Guilford Press.
  12. Mahy, M., Van Eycken, L., & Oosterlinck, A. (1994). Evaluation of Uniform Color Spaces Developed after the Adoption of CIELAB and CIELUV. Color Research and Application, 19(2), 105–121. https://doi.org/10.1111/j.1520-6378.1994.tb00070.x
  13. Moreland, K. (2009). Diverging Color Maps for Scientific Visualization. In Advances in Visual Computing – 5th International Symposium, ISVC 2009 (Vol. 5876, pp. 92–103). Springer-Verlag.
  14. Mullen, K. T. (1985). The Contrast Sensitivity of Human Colour Vision to Red-Green and Blue-Yellow Chromatic Gratings. The Journal of Physiology, 359(1), 381–400. https://doi.org/10.1113/jphysiol.1985.sp015591
  15. Okabe, M., & Ito, K. (2008). Color Universal Design (CUD): How to Make Figures and Presentations That Are Friendly to Colorblind People. http://jfly.iam.u-tokyo.ac.jp/color/
  16. Rogowitz, B., & Treinish, L. A. (1998). Data Visualization: The End of the Rainbow. IEEE Spectrum, 35(12), 52–59. https://doi.org/10.1109/6.736450
  17. Silva, S., Sousa Santos, B., & Madeira, J. (2011). Using Color in Visualization: A Survey. Computers and Graphics, 35(2), 320–333. https://doi.org/10.1016/j.cag.2010.11.015
  18. Spekat, A., & Kreienkamp, F. (2007). Somewhere over the Rainbow – Advantages and Pitfalls of Colourful Visualizations in Geosciences. Advances in Science and Research, 1(1), 15–21. https://doi.org/10.5194/asr-1-15-2007
  19. Tufte, E. (1990). Envisioning Information. Graphics Press.
  20. Ware, C. (1988). Color Sequences for Univariate Maps: Theory, Experiments and Principles. IEEE Computer Graphics and Applications, 8(5), 41–49. https://doi.org/10.1109/38.7760
  21. Ware, C. (2004). Color. In Information Visualization: Perception for Design (pp. 103–149). Morgan Kaufmann Publishers Inc.
  22. Wilke, C. O. (2019). Color Scales. In Fundamentals of Data Visualization. O’Reilly Media. https://serialmentor.com/dataviz/color-basics.html
  23. Wong, B. (2011). Color Blindness. Nature Methods, 8(6), 441. https://doi.org/10.1038/nmeth.1618