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Visual Comparison for Information Visualization

Data analysis often involves the comparison of complex objects; however, general mechanisms for comparison are not well understood. We propose a general taxonomy of visual designs for comparison that groups all designs into three basic categories, which can be combined to explain how visualization can effectively support comparison.

Related Publications:

Michael Gleicher, Danielle Albers, Rick Walker, Ilir Jusufi, Charles D. Hansen, Jonathan C. Roberts.  Visual Comparison for Information Visualization. Information Visualization, 10, 4, pp 289-309.  Oct 2011.

Project Page: https://pages.graphics.cs.wisc.edu/Vis/CompIV

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