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Theoretical Foundations of Information Visualization

  • Helen C. Purchase
  • Natalia Andrienko
  • T. J. Jankun-Kelly
  • Matthew Ward
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4950)

Abstract

The field of Information Visualization, being related to many other diverse disciplines (for example, engineering, graphics, statistical modeling) suffers from not being based on a clear underlying theory. The absence of a framework for Information Visualization makes the significance of achievements in this area difficult to describe, validate and defend. Drawing on theories within associated disciplines, three different approaches to theoretical foundations of Information Visualization are presented here: data-centric predictive theory, information theory, and scientific modeling. Definitions from linguistic theory are used to provide an over-arching framework for these three approaches.

Keywords

IEEE Computer Society IEEE Symposium Information Visualization Composite Pattern Formal Foundation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Helen C. Purchase
    • 1
  • Natalia Andrienko
    • 2
  • T. J. Jankun-Kelly
    • 3
  • Matthew Ward
    • 4
  1. 1.Department of Computing ScienceG12 8QQUK
  2. 2.Fraunhofer Institut Intelligent Analysis & Information Systems (FhG IAIS)Sankt-AugustinGermany
  3. 3.Department of Computer Science and EngineeringMississippi State UniversityUSA
  4. 4.Computer Science DepartmentWorcester Polytechnic InstituteWorcesterUSA

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