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Theoretical Foundations of Information Visualization

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Information Visualization

Part of the book series: Lecture Notes in Computer Science ((LNISA,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.

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References

  1. de Saussure, F.: Writings in General Linguistics. In: Bouquet, S., Engler, R., Sanders, C., Pires, M. (eds.), Oxford University Press, Oxford (2006)

    Google Scholar 

  2. Bakhtin, M.: The Dialogic Imagination, University of Texas Press (1981), quoted in Ball, A.F., Freedman, S.W.: Bhaktinian Persepectives on Language, Literacy, and Learning, Cambridge University Press, Cambridge (2004)

    Google Scholar 

  3. Andrienko, N., Andrienko, G.: Exploratory Analysis of Spatial and Temporal Data: A Systematic Approach. Springer, Heidelberg (2006)

    MATH  Google Scholar 

  4. Fayyad, U., Piatetsky-Shapiro, G., Smyth, P.: From data mining to knowledge discovery in databases. AI Magazine 17, 37–54 (1996)

    Google Scholar 

  5. Card, S.K., Moran, T.P., Newell, A.: The Psychology of Human-Computer Interaction. Erlbaum Associates, Hillsdale (1983)

    Google Scholar 

  6. Schneider, T.D.: Information Theory Primer. http://www.lecb.ncifcrf.gov/~toms/paper/primer (April 14, 2007)

  7. Cherry, C.: On Human Communication, 2nd edn. MIT Press, Cambridge (1966)

    Google Scholar 

  8. MacKay, D.: Information, Mechanism and Meaning. MIT Press, Cambridge (1969)

    Google Scholar 

  9. Saraiya, P., North, C., Duka, K.: An evaluation of microarray visualization tools for biological insight. In: Proc. IEEE Symposium on Information Visualization, pp. 1–8 (2004)

    Google Scholar 

  10. Keller, P., Keller, M.: Visual cues: Practical Data Visualization. IEEE Computer Society Press, Los Alamitos (1993)

    Google Scholar 

  11. Cui, Q., Ward, M., Rundensteiner, E., Yang, J.: Measuring data abstraction quality in multiresolution visualization. In: Proc. IEEE Symposium on Information Visualization, pp. 709–716 (2006)

    Google Scholar 

  12. Bertin, J.: Matrix theory of graphics. Information Design 10(1), 5–19 (2001)

    Article  MathSciNet  Google Scholar 

  13. Seo, J., Shneiderman, B.: A rank-by-feature framework for interactive exploration of multidimensional data. In: Proc. IEEE Symposium on Information Visualization, pp. 96–113 (2005)

    Google Scholar 

  14. Peng, W., Ward, M., Rundensteiner, E.: Clutter reduction in multi-dimensional data visualization using dimension reordering. In: Proc. IEEE Symposium on Information Visualization, pp. 89–96 (2004)

    Google Scholar 

  15. Tufte, E.: The Visual Display of Quantitative Information. Computer Graphics Press, Cheshire (1983)

    Google Scholar 

  16. Ward, M., Theroux, K.: Perceptual benchmarking for multivariate data visualization. In: Proc. Dagstuhl Seminar on Scientific Visualization, pp. 314–328 (1997)

    Google Scholar 

  17. Fua, Y.-H., Ward, M., Rundensteiner, E.: Hierarchical parallel coordinates for exploration of large datasets. In: Proc. IEEE Conference on Visualization, pp. 43–50 (1999)

    Google Scholar 

  18. Novotny, M., Hauser, H.: Outlier-preserving focus+context visualization in parallel coordinates. IEEE Trans. Visualization and Computer Graphics 12, 893–900 (2006)

    Article  Google Scholar 

  19. Dommik, G.: Do We Need Formal Education in Visualization? IEEE Computer Graphics and Applications 20(4), 16–19 (2000)

    Article  Google Scholar 

  20. Borland, D., Taylor, R.M.: Rainbow Color Map (Still) Considered Harmful. IEEE Computer Graphics and Applications 27(2), 14–17 (2007)

    Article  Google Scholar 

  21. Brewer, C.A.: Color use guidelines for data representation. In: Proceedings of the Section on Statistical Graphics, American Statistical Association, pp. 50–60 (1999)

    Google Scholar 

  22. Ware, C.: Information Visualization: Perception for Design. Morgan Kaufmann, San Francisco (2004)

    Google Scholar 

  23. van Wijk, J.J.: The Value of Visualization. In: Proceedings of IEEE Visualization, pp. 79–86. IEEE Computer Society Press, Los Alamitos (2005)

    Chapter  Google Scholar 

  24. Johnson, C., Moorehead, R., Munzner, T., Pfister, H., Rheingans, P., Yoo, T.S.: NIH-NSF Visualization Research Challenges Report, 1st edn. IEEE Computer Society Press, Los Alamitos (2006)

    Google Scholar 

  25. Thomas, J.J., Cook, K.A.: Illuminating the Path: The Research and Development Agenda for Visual Analytics. IEEE Computer Society Press, Los Alamitos (2005)

    Google Scholar 

  26. Anderson, J.R.: Cognitive Psychology and its Implications, 6th edn. Worth (2005)

    Google Scholar 

  27. Pirolli, P., Card, S.K.: Information Foraging. Psychological Review 4, 643–674 (1999)

    Article  Google Scholar 

  28. Brodlie, K., Poon, A., Wright, H., Brankin, L., Banecki, G., Gray, A.: Problem Solving Environment Integrating Computation And Visualization. In: Nielson, G.M., Bergeron, R.D. (eds.) Proceedings of the 4th IEEE Conference on Visualization, pp. 102–109 (1993)

    Google Scholar 

  29. Jankun-Kelly, T.J., Ma, K.-L., Gertz, M.: A Model and Framework for Visualization Exploration. IEEE Transactions on Visualization and Computer Graphics 13, 357–369 (2007)

    Article  Google Scholar 

  30. Lee, J.P., Grinstein, G.G.: An Architecture For Retaining And Analyzing Visual Explorations Of Databases. In: Nielson, G.M., Silver, D. (eds.) Proceedings of the 6th IEEE Conference on Visualization, pp. 101–108 (1995)

    Google Scholar 

  31. Pirolli, P., Card, S.K., Van Der Wege, M.M.: Visual information foraging in a focus + context visualization. In: Proceedings of the SIGCHI conference on Human factors in computing systems, pp. 506–513. ACM Press, New York (2001)

    Chapter  Google Scholar 

  32. Pirolli, P.: Rational Analyses of Information Foraging on the Web. Cognitive Science 29(3), 343–373 (2005)

    Article  Google Scholar 

  33. Jankun-Kelly, T.J., Ma, K.-L., Gertz, M.: A Model for the Visualization Exploration Process. In: Moorhead, R.J., Gross, M., Joy, K.I. (eds.) Proceedings of the the 13th IEEE Conference on Visualization (Vis ’02), pp. 323–330 (2002)

    Google Scholar 

  34. Lee, P.J.: A Systems and Process Model for Data Exploration. PhD thesis. University of Massachuesetts, Lowell (1998)

    Google Scholar 

  35. Teoh, S.T., Jankun-Kelly, T.J., Ma, K.-L., Wu, S.F.: Visual Data Analysis for Detecting Flaws and Intruders in Computer Network Systems. In: IEEE Computer Graphics and Applications, p. 24. IEEE Computer Society Press, Los Alamitos (2004)

    Google Scholar 

  36. Abram, G., Treinish, L.: An Extended Data-Flow Architecture For Data Analysis And Visualization. In: Nielson, G.M., Silver, D. (eds.) Proceedings of the IEEE Conference on Visualization 1995 (Vis ’95), pp. 263–270. IEEE Computer Society Press, Los Alamitos (1995)

    Google Scholar 

  37. Chi, E.H., Riedl, J.T.: An Operator Interaction Framework For Visualization Systems. In: Dill, J., Wills, G. (eds.) Proceedings of the IEEE Symposium on Information Visualization, pp. 63–70 (1998)

    Google Scholar 

  38. Haber, R.B., McNabb, D.A.: Visualization Idioms: A Conceptual Model for Scientific Visualization Systems. In: Nielson, G.M., Shriver, B., Rosenblum, L. (eds.) Visualization in Scientific Computing, pp. 74–93. IEEE Computer Society Press, Los Alamitos (1990)

    Google Scholar 

  39. Hibbard, W.L., Dyer, C.R., Paul, B.E.: A Lattice Model for Data Display. In: Bergeron, R.D., Kaufman, A.E. (eds.) Proceedings of the 5th IEEE Conference on Visualization (Vis ’94), pp. 310–317 (1994)

    Google Scholar 

  40. Schroeder, W.J., Martin, K.M., Lorensen, W.E.: The Design and Implementation of an Object-Oriented Toolkit for 3D Graphics and Visualization. In: Yagel, R., Nielson, G.M. (eds.) Proceedings of the 7th IEEE Conference on Visualization, pp. 93–100 (1996)

    Google Scholar 

  41. Casner, S.M.: Task-analytic approach to the automated design of graphic presentations. ACM Transactions on Graphics 10(2), 111–151 (1991)

    Article  Google Scholar 

  42. Mackinlay, M.: Automating the Design of Graphical Presentations of Relational Information. ACM Transactions on Graphics 5(2), 110–141 (1986)

    Article  Google Scholar 

  43. Roth, S.F., Mattis, J.: Data Characterization for Intelligent Graphics Presentation. In: Proceedings on Human Factors in Computing Systems (CHI’90), pp. 193–200 (1990)

    Google Scholar 

  44. Bavoli, L., Callahan, S.P., Crossno, P.J., Freire, J., Scheidegger, C.E., Silva, C.T., Vo, H.T.: VisTrails: Enabling Interactive Multiple-View Visualizations. In: Proceedings of the 16th IEEE Conference on Visualization (2005)

    Google Scholar 

  45. Weaver, C.: Building Highly-Coordinated Visualizations in Improvise. In: Proceedings 2004 IEEE Symposium on Information Visualization, pp. 159–166. IEEE Computer Society Press, Los Alamitos (2004)

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Computing Science, G12 8QQ, 17 Lilybank Gardens, UK

    Helen C. Purchase

  2. Fraunhofer Institut Intelligent Analysis & Information Systems (FhG IAIS), Schloss Birlinghoven, D-53754, Sankt-Augustin, Germany

    Natalia Andrienko

  3. Department of Computer Science and Engineering, Mississippi State University, Mississippi State, MS 39762, USA

    T. J. Jankun-Kelly

  4. Computer Science Department, Worcester Polytechnic Institute, 100 Institute Road, Worcester, MA, 01609-2280, USA

    Matthew Ward

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  1. Helen C. Purchase
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  2. Natalia Andrienko
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  3. T. J. Jankun-Kelly
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  4. Matthew Ward
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Editor information

Andreas Kerren John T. Stasko Jean-Daniel Fekete Chris North

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© 2008 Springer-Verlag Berlin Heidelberg

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Purchase, H.C., Andrienko, N., Jankun-Kelly, T.J., Ward, M. (2008). Theoretical Foundations of Information Visualization. In: Kerren, A., Stasko, J.T., Fekete, JD., North, C. (eds) Information Visualization. Lecture Notes in Computer Science, vol 4950. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70956-5_3

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  • DOI: https://doi.org/10.1007/978-3-540-70956-5_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-70955-8

  • Online ISBN: 978-3-540-70956-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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