Abstract
With large volume data sets, it can be difficult to visualize the data all at once. Multiple views can address this problem by displaying details in areas of interest while still keeping track of the global overview. Many "detail and context" techniques exist for volume data, but it is unclear when to use each one. We introduce a new class of methods called ExoVis, an alternative that balances trade-offs of existing techniques. We then heuristically compare ExoVis to existing methods to provide insight into when each technique is appropriate.
