Interactive Visual Analysis of Heterogeneous Scientific Data across an Interface

Johannes Kehrer, Philipp Muigg, Helmut Doleisch, Helwig Hauser
Interactive Visual Analysis of Heterogeneous Scientific Data across an Interface
IEEE Transaction on Visualization and Computer Graphics, 17(7):934-946, July 2011. [Draft] [Slides]

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Abstract

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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BibTeX

@article{kehrer-2011-vai,
  title =      "Interactive Visual Analysis of Heterogeneous Scientific Data
               across an Interface",
  author =     "Johannes Kehrer and Philipp Muigg and Helmut Doleisch and
               Helwig Hauser",
  year =       "2011",
  abstract =   "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.",
  month =      jul,
  issn =       "1077-2626",
  journal =    "IEEE Transaction on Visualization and Computer Graphics",
  number =     "7",
  volume =     "17",
  pages =      "934--946",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2011/kehrer-2011-vai/",
}