J. Kehrer, Ph. Muigg, H. Doleisch, H. Hauser:
"Interactive Visual Analysis of Heterogeneous Scientific Data across an Interface";
IEEE Transactions on Visualization and Computer Graphics,
In this paper, we present a systematic approach to the interactive visual exploration and analysis of heterogeneous scientific data. Based on a setup of coordinated multiple views (with linking and brushing) and heterogeneous data which consists of two blocks of scientific data (e.g., 2D and 3D data), we enable the joint, feature-based investigation across an interface. The interface specifies (a) which items in the one part of the data are related to which items in the other part, and vice versa, (b) how selections (in terms of feature extraction) are transferred between the two parts of the data, and (c) how interaction is realized during the visual analysis. We also propose strategies for visual analysis across an interface resulting in interactive and iterative refinement of features specified in different parts of the data. We demonstrate the usefulness of our approach in the context of two visual analysis scenarios with heterogeneous scientific data, i.e., a multi-run climate simulation and a complex simulation of fluid-structure interaction.
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