Reading and Discussion 9: Week 9 – Color

by gleicherapi on August 1, 2017

Initial Posting Due: Tue, Oct 31 at (Canvas Link)

Readings

Color is a surprisingly complex topic – and the complexities of perception and display have real impact on how we use it for Vis. There is some redundancy in these readings, but it’s hard for me to choose which ones are best. It’s probably OK to see it multiple ways. This is actually less reading than I’ve given in the past for the topic (see 2015 Color Readings)

  1. Maureen Stone. Expert Color Choices for Presenting Data. Web Resource.

    Maureen really is an expert on color. This is a good review of the basics, and then gets into why it’s important to get it right, and how to do it.

  2. Color (Chapter 4 of Visual Thinking for Design) (Ware-4-Color.pdf 2.8 mb)

  3. Map Color and Other Channels (Chapter 10 from Munzner’s Visualization Analysis & Design) (Munzner-10-MapColor.pdf 356 kb)

    Color is really 10-10.3, 10.4 talks about other channels. It’s a good reminder.

  4. Borland, D., & Taylor Ii, R. (2007). Rainbow Color Map (Still) Considered Harmful. IEEE Computer Graphics and Applications, 27(2), 14–17. (pdf on Canvas) (doi)

    The rainbow color map is still used (10 years after this paper). Understanding why you shouldn’t use it is a good way to check your understanding of color ramp design. Breaking that rule (and using it effectively) is a more advanced topic. Most uses of rainbows are ineffective.

    A more recent paper (Bujack et. al below) gets at this in a more mathematical way, but it’s overkill for class purposes.

  5. Cynthia Brewer. Color Use Guidelines for Data Representation. Proceedings of the Section on Statistical Graphics, American Statistical Association, Alexandria VA. pp. 55-60. (web) (Canvas)

    The actual paper isn’t so important – it’s the guidelines she used in creating Color Brewer, which also tells us how to use it. What is more important is to actually check out ColorBrewer which is a web tool that gives you color maps. Understand how to pick color maps with it, and try to get a sense of why they are good.

    The irony is that this, one of the most important papers about color, wasn’t printed in color!

Optional

If you want a little more of how color science and vis come together.

  • Danielle Albers Szafir. “Modeling Color Difference for Visualization Design.” IEEE Transactions on Visualization and Computer Graphics, 2018. In the Proceedings of the 2017 IEEE VIS Conference. (best paper award winner).

    This paper is really practical in that it shows how color science and modeling and be used to tell us what will and won’t work in visualization. It shows the value in careful experimentation and modeling.

  • Bujack, R., Turton, T. L., Samsel, F., Ware, C., Rogers, D. H., & Ahrens, J. (2017). The Good, the Bad, and the Ugly: A Theoretical Framework for the Assessment of Continuous Colormaps. IEEE Transactions on Visualization and Computer Graphics, 24(1 (Proceedings SciVis)). (doi)

    This paper does a serious, deep dive into figuring out what makes a good or bad color ramp and making the intuitions mathematical. You can play with their tool for assessing color ramps.

In case you want a few other perspectives on color…

  • Color and Information (Tufte’s Chapter 5 of Envisioning Information)(2-EI-5-ColorandInformation-small.pdf 4.3 mb) (2-EI-5-ColorandInformation.pdf 55.4 mb)

    Tufte is famously anti-color, except when he isn’t.

  • Chapter 10, Principles of Color (Canvas), from Thematic Cartography and Geographic Visualization, 2nd edition by Slocum et. al.

    This is from a cartography (map making) textbook – but it’s a great intro since it gets into some of the technical issues of reproduction.

  • Chapter 5, The Perception of Color (Canvas), from Sensing and Perception (a psychology of perception book).

    As you might expect, a Psychology textbook will give you even more about the science of color. It’s probably more of the perceptual science than you want, unless you’re a perceptual science researcher in which case you may have read it already.

  • Here are some postings from a design blog that give a nice tutorial that is a little more design oriented:

For something different, here are some papers that show why it is important to use color correctly:

  • Borkin, M. A., Gajos, K. Z., Peters, A., Mitsouras, D., Melchionna, S., Rybicki, F. J., … Pfister, H. (2011). Evaluation of artery visualizations for heart disease diagnosis. IEEE Transactions on Visualization and Computer Graphics, 17(12), 2479–88. (pdf) (doi)

Online Discussion

Initial Posting Due: Tue, Oct 31 at (Canvas Link)

With color, there are so many different aspects to talk about. It’s hard to know how to phrase a question to get you to think about it broadly. So instead, I’ll ask a general question and a second question that is meant to get you playing around.

  1. There are all sorts of different issues in color… perception, semantics, reproduction, … How should these influence how we use color in visualizations? How can we make good choices about when and where to use colors, and which colors to use when we do?

  2. Go to ColorBrewer and pick out a favorite ramp. Why do you like it? What would it be good for? Why is it so good for this purpose? You may also try to make a pallete using Colorgorical and do the same thing.

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