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On the Benefits and Drawbacks of Radial Diagrams

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Abstract

Visualizations based on circular shapes are oftentimes referred to as radial representations in the literature. Radial diagrams have recently gained increasing popularity in many application domains. One reason for this popularity is the aesthetic look of those diagrams. However, there are advantages for corresponding Cartesian (rectangular) representations as well, including possible perceptual benefits, more efficient use of rectangular screen space, or ease of implementation due to simpler graphical primitives. We describe several examples of visualizations that exist in Cartesian or radial form, and we discuss their respective benefits and drawbacks. We focus on the evaluation of those diagrams by comparative user studies. In particular, we consider how quantitative and qualitative evaluations, including eye tracking, can be employed to analyze which of the two visual mapping approaches is more suitable for given datasets and tasks.

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References

  1. Andrienko, G., Andrienko, N., Burch, M., Weiskopf, D.: Visual analytics methodology for eye movement studies. Transactions on Visualization and Computer Graphics (2012)

    Google Scholar 

  2. Bojko, A.: Informative or misleading? Heatmaps deconstructed. In: International Conference on Human-Computer Interaction, pp. 30–39 (2009)

    Google Scholar 

  3. Burch, M., Beck, F., Diehl, S.: Timeline Trees: visualizing sequences of transactions in information hierarchies. In: Proceedings of Advanced Visual Interfaces (AVI ’08), pp. 75–82 (2008)

    Google Scholar 

  4. Burch, M., Beck, F., Weiskopf, D.: Radial edge splatting for visualizing dynamic directed graphs. In: Proceedings of the International Conference on Information Visualization Theory and Applications, pp. 603–612 (2012)

    Google Scholar 

  5. Burch, M., Bott, F., Beck, F., Diehl, S.: Cartesian vs. radial – a comparative evaluation of two visualization tools. In: Proceedings of International Symposium on Visual Computing, pp. 151–160 (2008)

    Google Scholar 

  6. Burch, M., Diehl, S.: TimeRadarTrees: Visualizing dynamic compound digraphs. Computer Graphics Forum 27(3), 823–830 (2008)

    Article  Google Scholar 

  7. Burch, M., Konevtsova, N., Heinrich, J., Höferlin, M., Weiskopf, D.: Evaluation of traditional, orthogonal, and radial tree diagrams by an eye tracking study. IEEE Transactions on Visualization and Computer Graphics 17(12), 2440–2448 (2011)

    Article  Google Scholar 

  8. Burch, M., Vehlow, C., Beck, F., Diehl, S., Weiskopf, D.: Parallel edge splatting for scalable dynamic graph visualization. IEEE Transactions on Visualization and Computer Graphics 17(12), 2344–2353 (2011)

    Article  Google Scholar 

  9. Card, S.: Information visualization, in A. Sears and J.A. Jacko (eds.), The Human-Computer Interaction Handbook: Fundamentals, Evolving Technologies, and Emerging Applications. Lawrence Erlbaum Assoc Inc (2007)

    Google Scholar 

  10. Cleveland, W.S., McGill, R.: An experiment in graphical perception. International Journal of Man-Machine Studies 25(5), 491–501 (1986)

    Article  Google Scholar 

  11. Diehl, S., Beck, F., Burch, M.: Uncovering strengths and weaknesses of radial visualizations—an empirical approach. IEEE Transactions on Visualization and Computer Graphics 16(6), 935–942 (2010)

    Article  Google Scholar 

  12. Draper, G.M., Livnat, Y., Riesenfeld, R.F.: A survey of radial methods for information visualization. IEEE Transactions on Visualization and Computer Graphics 15(5), 759–776 (2009)

    Article  Google Scholar 

  13. Few, S.: Save the pies for dessert. In: Perceptual Edge Visual Business Intelligence Newsletter (2007)

    Google Scholar 

  14. Few, S.: Our irresistible fascination with all things circular. In: Perceptual Edge Visual Business Intelligence Newsletter (2010)

    Google Scholar 

  15. Goldberg, J.H., Helfman, J.: Eye tracking for visualization evaluation: Reading values on linear versus radial graphs. Information Visualization 10(3), 182–195 (2011)

    Article  Google Scholar 

  16. Grivet, S., Auber, D., Domenger, J., Melançon, G.: Bubble tree drawing algorithm. In: Proceedings of International Conference on Computer Vision and Graphics (ICCVG ’04), pp. 633–641 (2004)

    Google Scholar 

  17. Hlawatsch, M., Leube, P., Nowak, W., Weiskopf, D.: Flow Radar Glyphs - static visualization of unsteady flow with uncertainty. IEEE Transactions on Visualization and Computer Graphics 17(12), 1949–1958 (2011)

    Article  Google Scholar 

  18. Hoffman, P., Grinstein, G.G., Marx, K.A., Grosse, I., Stanley, E.: DNA visual and analytic data mining. In: Proceedings of IEEE Visualization, pp. 437–442 (1997)

    Google Scholar 

  19. Johnson, B., Shneiderman, B.: Tree maps: A space-filling approach to the visualization of hierarchical information structures. In: Proceedings of IEEE Visualization, pp. 284–291 (1991)

    Google Scholar 

  20. Koffka, K.: Principles of Gestalt Psychology. Harcourt, Brace, New York (1935)

    Google Scholar 

  21. Lewi, P.: Speaking of graphics, http://www.datascope.be/sog.htm (2008)

  22. Lima, M.: A visual exploration on mapping complex networks. http://www.visualcomplexity.com/vc/

  23. Lin, C.C., Yen, H.C.: On balloon drawings of rooted trees. Graphics Algorithms and Applications 11(2), 431–452 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  24. Ma, K.L.: Stargate: A unified, interactive visualization of software projects. In: Proceedings of IEEE VGTC Pacific Visualization Symposium, pp. 191–198 (2008)

    Google Scholar 

  25. Melançon, G., Herman, I.: Circular drawings of rooted trees. Tech. rep., Amsterdam, The Netherlands (1998)

    Google Scholar 

  26. Misue, K., Eades, P., Lai, W., Sugiyama, K.: Layout adjustment and the mental map. Journal of Visual Languages and Computing 6(2), 183–210 (1995)

    Article  Google Scholar 

  27. Nightingale, F.: Notes on matters affecting the health, efficiency, and hospital administrations of the british army: Founded chiefly on the experience of the late war (1858)

    Google Scholar 

  28. Playfair, W.: The statistical breviary; shewing, on a principle entirely new, the resources of every state and kingdom in Europe (1801)

    Google Scholar 

  29. Purchase, H.C., Cohen, R.F., James, M.I.: Validating graph drawing aesthetics. In: Proceedings of Graph Drawing, pp. 435–446 (1995)

    Google Scholar 

  30. Rosenholtz, R., Li, Y., Mansfield, J., Jin, Z.: Feature congestion: a measure of display clutter. In: Proceedings of the Conference on Human Factors in Computing Systems (CHI), pp. 761–770 (2005)

    Google Scholar 

  31. Tufte, E.R.: The Visual Display of Quantitative Information. Cheshire, CT: Graphics Press (1983)

    Google Scholar 

  32. Tversky, B., Morrison, J.B., Bétrancourt, M.: Animation: can it facilitate? International Journal of Human-Computer Studies 57(4), 247–262 (2002)

    Article  Google Scholar 

  33. Wang, H., Johnson, T.R., Sun, Y., Zhang, J.: Object location memory: The interplay of multiple representations. Memory & Cognition 33(7), 1147–1159 (2005)

    Article  Google Scholar 

  34. Ware, C., Purchase, H.C., Colpoys, L., McGill, M.: Cognitive measurements of graph aesthetics. Information Visualization 1(2), 103–110 (2002)

    Article  Google Scholar 

  35. Weber, M., Alexa, M., Müller, W.: Visualizing time-series on spirals. In: Proceedings of IEEE Symposium on Information Visualization, pp. 7–14 (2001)

    Google Scholar 

  36. Wetzel, K.: Using circular treemaps to visualize disk usage. Available at http://lip.sourceforge.net/ctreemap.html

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Acknowledgements

We would like to thank Stephan Diehl, Fabian Beck, Felix Bott, Rainer Lutz, Natalia Konevtsova, Julian Heinrich, Markus Höferlin, Gennady Andrienko, and Natalia Andrienko for the very pleasant and productive collaborations that led to the results reported in this chapter. We thank Marcel Hlawatsch for Fig. 8. Furthermore, we would like to thank the many study participants for their patience and their interest especially in the eye tracking study. Without their support, this work would not have been possible.

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Burch, M., Weiskopf, D. (2014). On the Benefits and Drawbacks of Radial Diagrams. In: Huang, W. (eds) Handbook of Human Centric Visualization. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7485-2_17

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  • DOI: https://doi.org/10.1007/978-1-4614-7485-2_17

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