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