A model and software system for coordinated and multiple views in exploratory visualization
Information Visualization - Special issue on coordinated and multiple views in exploratory visualization
An architecture for multi-view information overlays
APVis '04 Proceedings of the 2004 Australasian symposium on Information Visualisation - Volume 35
Integrating dynamic views using model driven development
CASCON '06 Proceedings of the 2006 conference of the Center for Advanced Studies on Collaborative research
Uncertain knowledge gathering: an evolutionary approach
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
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A view is a particular visual representation of a data set. Complex data sets typically require multiple views, each revealing a different aspect of the data. Coordinating the behaviour of these views is known to expedite tasks such as information seeking, and has been used to facilitate the exploration of large and complex data sets. The design and implementation of multiple view coordinations is challenging; poorly designed coordinations may in fact detract from task performance, while the failure to make coordinations apparent could lead to unneccessarily complex mental models of a data set. In order to facilitate the exploration of this design space, we present here an architecture for the implementation of view coordinations. In contrast with many existing tools and prototypes, which focus on specific view coordination techniques, this architecture provides generic support for view coordination. The implementation of several standard coordination techniques within the architecture are discussed by way of illustration, and the architecture compared with the Snap view coordination architecture. Examples of its initial implementation within the InVision component-based framework for information visualisation are also presented.