Customizable Time-Oriented Visualizations

  • Mohammad Amin Kuhail
  • Kostas Pandazo
  • Soren Lauesen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7432)


Most commercial visualization tools support an easy and quick creation of conventional time-oriented visualizations such as line charts, but customization is limited. In contrast, some academic visualization tools and programming languages support the creation of some customizable time-oriented visualizations but it is time consuming and hard. To combine efficiency, the effort required to develop a visualization, andcustomizability, the ability to tailor a visualization, we developed time-oriented building blocks that address the specifics of time (e.g. linear vs. cyclic or point-based vs. interval-based) and consist of inner customizable parts (e.g. ticks). A combination of the time-oriented and other primitive graphical building blocks allowed the creation of several customizable advanced time-oriented visualizations. The appearance and behavior of the blocks are specified using spreadsheet-like formulas. We compared our approach with other popular visualization tools. Evaluation showed that our approach rates well in customizability.


Visualization Tool Time Line Time Granularity Line Chart Context Line 
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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  1. 1.
    Plaisant, C., Mushlin, R., Snyder, A., Li, J., Heller, D., Shneiderman, B., Colorado, K.P.: Lifelines: Using visualization to enhance navigation and analysis of patient records. In: Proceedings of the 1998 American Medical Informatics Association Annual Fall Symposium, pp. 76–80 (1998)Google Scholar
  2. 2.
    Weber, M., Alexa, M., Muller, W.: Visualizing time-series on spirals. In: IEEE Symposium on Information Visualization, INFOVIS 2001, pp. 7–13 (2001), doi:10.1109/INFVIS.2001.963273Google Scholar
  3. 3.
    Frank, A.: Different types of times in gis. Spatial and Temporal Reasoning in Geographic Information Systems, 40–62 (1998)Google Scholar
  4. 4.
    Ozsu, M.T., Goralwal, I.A., Szafron, D.: A framework for temporal data models: Exploiting object-oriented technology. In: Proceedings of the Tools-23: Technology of Object-Oriented Languages and Systems. IEEE Computer Society, Washington, DC (1997)Google Scholar
  5. 5.
    Bettini, C., Jajodia, S.G., Wang, S.X.: Time Granularities in Databases, Data Mining and Temporal Reasoning, 1st edn. Springer-Verlag New York, Inc., Secaucus (2000)zbMATHGoogle Scholar
  6. 6.
    Wilkinson, L.: The grammar of graphics. Springer-Verlag New York, Inc., New York (1999)zbMATHGoogle Scholar
  7. 7.
    Aigner, W., Miksch, S., Schumann, H., Tominski, C.: Visualization of Time-Oriented Data. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  8. 8.
    Flare, (accessed October 2011)
  9. 9.
    Bostock, M., Ogievetsky, V., Heer, J.: D3: Data driven documents. IEEE Trans. Visualization & Comp. Graphics, (Proc. InfoVis) (2011),
  10. 10.
    Heer, J., Card, S.K., Landay, J.A.: Prefuse: a toolkit for interactive information visualization. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI 2005, pp. 421–430. ACM, New York (2005)CrossRefGoogle Scholar
  11. 11.
    Lauesen S.: uvis, (accessed February 2012)
  12. 12.
    Spottfire: Tibco spotfire, (accessed October 2011)
  13. 13.
    Tableau, (accessed October 2011)
  14. 14.
    Google chart tools, (accessed November 2011)
  15. 15.
  16. 16.
    Smile widgets - timeline, (accessed October 2011)
  17. 17.
    Keim, D.A., Schneidewind, J., Sips, M.: Circleview: a new approach for visualizing time-related multidimensional data sets. In: AVI, pp. 179–182 (2004)Google Scholar
  18. 18.
    Talbot, J., Lin, S., Hanrahan, P.: An Extension of Wilkinson’s Algorithm for Positioning Tick Labels on Axes. IEEE Trans. Visualization & Comp. Graphics (Proc. InfoVis) (2010)Google Scholar
  19. 19.
    Cleveland, W.S.: Visualizing Data. Hobart Press, NJ (1993) (Summit)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Mohammad Amin Kuhail
    • 1
  • Kostas Pandazo
    • 1
  • Soren Lauesen
    • 1
  1. 1.IT University of CopenhagenDenmark

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