A Taxonomy of Integration Techniques for Spatial and Non-Spatial Visualizations

Information

• Publication Type: Conference Paper
• Workgroup(s)/Project(s):
  • VRVis Competence Center
• Date: October 2015
• Series: Springer Lecture Notes in Computer Science (LNCS) series
• Publisher: The Eurographics Association
• Location: Aachen, Germany
• Lecturer: Johannes Sorger
• ISSN: 0302-9743
• Editor: David Bommes and Tobias Ritschel and Thomas Schultz
• Booktitle: 20th International Symposium on Vision, Modeling and Visualization (VMV 2015)
• Conference date: 7. October 2015 – 10. October 2015

Abstract

Research on visual data representations is traditionally classified into methods assuming an inherent mapping from data values to spatial coordinates (scientific visualization and real-time rendering) and methods for abstract data lacking explicit spatial references (information visualization). In practice, however, many applications need to analyze data comprising abstract and spatial information, thereby spanning both visualization domains. Traditional classification schemes do not support a formal description of these integrated systems. The contribution of this paper is a taxonomy that describes a holistic design space for integrating components of spatial and abstract visualizations. We structure a visualization into three components: Data, Visual, and Navigation. These components can be linked to build integrated visualizations. Our taxonomy provides an alternative view on the field of visualization in a time where the border between scientific and information visualization becomes blurred.

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BibTeX

@inproceedings{sorger-2015-taxintec,
  title =      "A Taxonomy of Integration Techniques for Spatial and
               Non-Spatial Visualizations",
  author =     "Johannes Sorger and Thomas Ortner and Harald Piringer and
               Gerd Hesina and Eduard Gr\"{o}ller",
  year =       "2015",
  abstract =   "Research on visual data representations is traditionally
               classified into methods assuming an inherent mapping from
               data values to spatial coordinates (scientific visualization
               and real-time rendering) and methods for abstract data
               lacking explicit spatial references (information
               visualization). In practice, however, many applications need
               to analyze data comprising abstract and spatial information,
               thereby spanning both visualization domains. Traditional
               classification schemes do not support a formal description
               of these integrated systems. The contribution of this paper
               is a taxonomy that describes a holistic design space for
               integrating components of spatial and abstract
               visualizations. We structure a visualization into three
               components: Data, Visual, and Navigation. These components
               can be linked to build integrated visualizations. Our
               taxonomy provides an alternative view on the field of
               visualization in a time where the border between scientific
               and information visualization becomes blurred.",
  month =      oct,
  series =     "Springer Lecture Notes in Computer Science (LNCS) series",
  publisher =  "The Eurographics Association",
  location =   "Aachen, Germany",
  issn =       "0302-9743",
  editor =     "David Bommes and Tobias Ritschel and Thomas Schultz",
  booktitle =  "20th International Symposium on Vision, Modeling and
               Visualization (VMV 2015)",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2015/sorger-2015-taxintec/",
}