Revealing Relationships Amongst Visualizations
As information visualizations continue to play a more frequent role in information analysis, the complexity of the queries for which we would like visual explanations also continues to grow. While creating visualizations of multi-variate data is a familiar challenge, the visual portrayal of two sets of relationships, one primary and one secondary, within a given visualization is relatively new. We are researching novel ways to extend this direction, making it possible to reveal relationships, patterns, and connections between two or more primary visualizations.
Our VisLink system enables reuse of the spatial visual variable, thus supporting efficient information encoding and providing for powerful visualization bridging which in turn allows inter-visualization queries. Patterns within the inter-visualization relationships will reveal the similarities and differences between two different visualizations. Working in 3D, we are also interested in usable navigation and manipulation widgets to simplify interaction and analysis.
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|Christopher Collins and Sheelagh Carpendale. VisLink: Revealing Relationships Amongst Visualizations. IEEE Transactions on Visualization and Computer Graphics (Proc. of the IEEE Conf. on Information Visualization), 13(6), November--December, 2007.|