Skip to main content
SpringerLink
Log in
Book cover

Advances in Information and Intelligent Systems pp 307–326Cite as

Embedding Information Visualization within Visual Representation

  • Chapter

Part of the book series: Studies in Computational Intelligence ((SCI,volume 251))

Abstract

Despite its often technical nature, visualization is in many ways a form of visual representation. Just how visualization relates to illustration, information graphics, digital art, visual languages, etc., is nonetheless poorly understood. We propose a theory that embeds information visualizationwithin other visual traditions in terms of criteria that are not purely technical: dependence on data, mapping, interactivity, and notationality. In addition to providing the means for a classification, these criteria also foster a different understanding of information visualization. We further adapt our criteria to differentiate within visualization, using mapping, readability and information loss, and notationality as the criteria. Both sets of criteria are demonstrated in a number of case studies.We believe that our novel taxonomies of visualization methods serve as a step towards a more comprehensive theoretical context to understanding the essential purposes, properties, and functions of information visualization.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Albrecht-Buehler, C., Watson, B., Shamma, D.A.: Textpool: Visualizing live text streams. In: Proceedings of the IEEE Symposium on Information Visualization, Washington, D.C., USA, p. 215.1. IEEE Computer Society, Los Alamitos (2004)

    Google Scholar 

  2. Anderson, E.: A semigraphical method for the analysis of complex problems. In: Proceedings of the National Academy of Sciences, vol. 43(923-927) (1957)

    Google Scholar 

  3. Bertin, J.: Semiology of Graphics. University of Wisconsin Press, Madison (1983)

    Google Scholar 

  4. Card, S.K., Mackinlay, J.: The structure of the information visualization design space. In: Proceedings of the IEEE Symposium on Information Visualization, Washington, DC, USA, p. 92. IEEE Computer Society, Los Alamitos (1997)

    Google Scholar 

  5. Chi, E.H.: A taxonomy of visualization techniques using the data state reference model. In: Proceeings of the IEEE Symposium on Information Visualization, p. 69. IEEE Computer Society Press, Los Alamitos (2000)

    Google Scholar 

  6. Goodman, N.: Languages of Art, 2nd edn. Hackett Publishing Company (June 1976)

    Google Scholar 

  7. Gray, R.M., Neuhoff, D.L.: Quantization. IEEE Transactions on Information Theory 44(6), 2325–2385 (1998)

    Article  MATH  MathSciNet  Google Scholar 

  8. Havre, S., Hetzler, B., Nowell, L.: Themeriver: Visualizing theme changes over time. In: Proceedings of the IEEE Symposium on Information Visualization, Salt Lake City, UT, USA, pp. 115–123. IEEE Computer Society, Los Alamitos (2000)

    Google Scholar 

  9. Healey, C.G., Tateosian, L., Enns, J.T., Remple, M.: Perceptually based brush strokes for nonphotorealistic visualization. ACM Transactions on Graphics 23(1), 64–96 (2004)

    Article  Google Scholar 

  10. Inselberg, A., Dimsdale, B.: Parallel coordinates: A tool for visualing multi-dimensional geometry. In: Proceedings of the First IEEE Conference on Visualization, San Francisco, CA, USA, pp. 361–378. IEEE Computer Society, Los Alamitos (1990)

    Chapter  Google Scholar 

  11. Keim, D.A.: Designing pixel-oriented visualization techniques: Theory and applications. IEEE Transactions on Visualization and Computer Graphics 6(1), 59–78 (2000)

    Article  Google Scholar 

  12. Kosara, R.: Visualization criticism — the missing link between information visualization and art. In: Proceedings of the 11th International Conference on Information Visualisation (IV), pp. 631–636. IEEE CS Press, Los Alamitos (2007)

    Chapter  Google Scholar 

  13. Kosara, R., Bendix, F., Hauser, H.: TimeHistograms for large, time-dependent datafor large, time-dependent data for large, time-dependent data. In: Joint Eurographics - IEEE TCVG Symposium on Visualization (VisSym 2004), pp. 45–54 (2004)

    Google Scholar 

  14. Lee, J.: Goodman’s aesthetics and the languages of computing. In: Fishwick, P.A. (ed.) Aesthetic Computing, ch. 1, pp. 29–42. MIT Press, Cambridge (2006)

    Google Scholar 

  15. Levin, G., Nigam, K., Feinberg, J.: The dumpster (2006), http://artport.whitney.org/commissions/thedumpster/

  16. Mackinlay, J.: Automating the design of graphical presentations of relational information. ACM Transactions on Graphics 5(2), 110–141 (1986)

    Article  Google Scholar 

  17. Mackinlay, J.D., Hanrahan, P., Stolte, C.: Show Me: Automatic presentation for visual analysis. IEEE TVCG 13(6), 1137–1144 (2007)

    Google Scholar 

  18. Plaisant, C., Milash, B., Rose, A., Widoff, S., Shneiderman, B.: Lifelines: Visualizing personal histories. In: Proceedings Human Factors in Computing Systems (CHI), pp. 221–227. ACM Press, New York (1996)

    Google Scholar 

  19. Rowland, T.: Linear function. From MathWorld – A Wolfram Web Resource, created by Eric W. Weisstein, http://mathworld.wolfram.com/LinearFunction.html

  20. Sack, W.: Aesthetics of information visualization. In: Paul, C., Vesna, V., Lovejoy, M. (eds.) Context Providers. University of Minnesota Press (2007) (forthcoming)

    Google Scholar 

  21. Shneiderman, B.: Tree visualization with tree-maps: 2-d space-filling approach. ACM Transactions on Graphics 11, 92–99 (1992)

    Article  MATH  Google Scholar 

  22. Shneiderman, B.: The eyes have it: A task by data type taxonomy for information visualization. In: Proceedings of the IEEE Symposium on Visual Languages, pp. 336–343. IEEE Computer Society, Los Alamitos (1996)

    Chapter  Google Scholar 

  23. Skog, T., Ljungblad, S., Holmquist, L.E.: Between aesthetics and utility: Designing ambient information visualizations. In: Proceedings of the IEEE Symposium on Information Visualization, pp. 233–240. IEEE Computer Society, Los Alamitos (2003)

    Google Scholar 

  24. Tory, M., Möller, T.: Rethinking visualization: A high-level taxonomy. In: Proceedings of the IEEE Symposium on Information Visualization, pp. 151–158. IEEE Computer Society Press, Los Alamitos (2004)

    Chapter  Google Scholar 

  25. Tufte, E.R.: The Visual Display of Quantitative Information, 2nd edn. Graphics Press (2001)

    Google Scholar 

  26. Vande Moere, A.: Time-varying data visualization using information flocking boids. In: Proceedings of the IEEE Symposium on Information Visualization, pp. 97–104. IEEE Computer Society Press, Los Alamitos (2004)

    Chapter  Google Scholar 

  27. Viegas, F.B., Perry, E., Howe, E., Donath, J.: Artifacts of the presence era: Using information visualization to create an evocative souvenir. In: Proceedings of the IEEE Symposium on Information Visualization, pp. 105–111. IEEE Computer Society, Los Alamitos (2004)

    Chapter  Google Scholar 

  28. Ware, C.: Information Visualization: Perception for Design. Morgan Kaufmann Publishers Inc, San Francisco (2000)

    Google Scholar 

  29. Wattenberg, M.: Visual exploration of multivariate graphs. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 822–829. ACM Press, New York (2006)

    Google Scholar 

  30. Wise, J.A.: The ecological approach to text visualization. Journal of the American Society for Information Science 50, 1224–1233 (1999)

    Article  Google Scholar 

  31. Ziemkiewicz, C., Kosara, R.: The shaping of information by visual metaphors. IEEE Transactions on Visualization and Computer Graphics 14(6), 1269–1276 (2008)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. UNC Charlotte,  

    Caroline Ziemkiewicz & Robert Kosara

Authors
  1. Caroline Ziemkiewicz
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Robert Kosara
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. College of Computing and Informatics, University of North Carolina at Charlotte, 28223, Charlotte, N.C., USA

    Zbigniew W. Ras  & William Ribarsky  & 

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Ziemkiewicz, C., Kosara, R. (2009). Embedding Information Visualization within Visual Representation. In: Ras, Z.W., Ribarsky, W. (eds) Advances in Information and Intelligent Systems. Studies in Computational Intelligence, vol 251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04141-9_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-04141-9_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04140-2

  • Online ISBN: 978-3-642-04141-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation