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Visual Analytics Methods for Movement Data

  • G. Andrienko
  • N. Andrienko
  • I. Kopanakis
  • A. Ligtenberg
  • S. Wrobel

All the power of computational techniques for data processing and analysis is worthless without human analysts choosing appropriate methods depending on data characteristics, setting parameters and controlling the work of the methods, interpreting results obtained, understanding what to do next, reasoning, and drawing conclusions. To enable effective work of human analysts, relevant information must be presented to them in an adequate way. Since visual representation of information greatly promotes man’s perception and cognition, visual displays of data and results of computational processing play a very important role in analysis.

Keywords

Association Rule Movement Data Time Moment Data Aggregation Movement Characteristic 
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

  • G. Andrienko
    • 1
  • N. Andrienko
    • 1
  • I. Kopanakis
    • 2
  • A. Ligtenberg
    • 3
  • S. Wrobel
    • 1
  1. 1.Fraunhofer Institut Intelligente Analyse- und InformationssystemeSankt AugustinGermany
  2. 2.Technological Educational Institute of CreteGreece
  3. 3.Centre for GeoInformationWageningen URNetherlands

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