Encyclopedia of Database Systems

2018 Edition
| Editors: Ling Liu, M. Tamer Özsu

Comparative Visualization

  • Hans HinterbergerEmail author
Reference work entry
DOI: https://doi.org/10.1007/978-1-4614-8265-9_1385


Comparative analysis


Comparative visualization refers to
  1. 1.

    Methods that support the process of understanding in what way different datasets are similar or different

  2. 2.

    Methods that allow comparing different characteristics of a given dataset

  3. 3.

    Methods that allow a comparison of different types of (linked) data graphics


Key Points

Comparisons of datasets may occur in different ways. Data value to data value (entries of different datasets are compared to one another based on their values), derived quantity to derived quantity (these could be statistical moments of data fields or topological characteristics), methodology to methodology (comparisons of methodologies involve quantifying differences in experiment or simulation parameters), and, if the data are visualized, image to image (such comparisons quantify the differences in the visualizations produced by a given graphical method).

Comparative visualization methods have been developed as an enabling...

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Recommended Reading

  1. 1.
    Bavoil L, Callahan SP, Crossno PJ, Freire J, Scheidegger CE, Silva CT, Vo HT. VisTrails: enabling interactive multiple-view visualizations. In: Proceedings of the IEEE Visualization; 2005.Google Scholar
  2. 2.
    Schmid C, Hinterberger H. Comparative multivariate visualization across conceptually different graphic displays. In: Proceedings of the 7th International Working Conference on Scientific and Statistical Database Management; 1994.Google Scholar
  3. 3.
    Siirtola H. Combining parallel coordinates with the reorderable matrix. In: Proceedings of the International Conference on Coordinated & Multiple Views in Exploratory Visualization; 2003.Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Computer ScienceETH ZurichZurichSwitzerland

Section editors and affiliations

  • Hans Hinterberger
    • 1
  1. 1.Inst. of Scientific ComputingETH ZürichZurichSwitzerland