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Visual Analytics Methods for Movement Data

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Book cover Mobility, Data Mining and Privacy

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.

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Author information

Authors and Affiliations

  1. Fraunhofer Institut Intelligente Analyse- und Informationssysteme, Sankt Augustin, Germany

    G. Andrienko, N. Andrienko & S. Wrobel

  2. Technological Educational Institute of Crete, Greece

    I. Kopanakis

  3. Centre for GeoInformation, Wageningen UR, Netherlands

    A. Ligtenberg

Authors
  1. G. Andrienko
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  2. N. Andrienko
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  3. I. Kopanakis
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  4. A. Ligtenberg
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  5. S. Wrobel
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Editor information

Editors and Affiliations

  1. KDD Laboratory ISTI-CNR, Istituto di Scienza e Tecnologie dell’Informazione “A. Faedo”, Via G. Moruzzi, 1, 56124, Pisa, Italy

    Fosca Giannotti

  2. KDD Laboratory Dipartimento di Informatica, Università di Pisa, Largo B. Pontecorvo, 3, 56127, Pisa, Italy

    Dino Pedreschi

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Andrienko, G., Andrienko, N., Kopanakis, I., Ligtenberg, A., Wrobel, S. (2008). Visual Analytics Methods for Movement Data. In: Giannotti, F., Pedreschi, D. (eds) Mobility, Data Mining and Privacy. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75177-9_14

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  • DOI: https://doi.org/10.1007/978-3-540-75177-9_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75176-2

  • Online ISBN: 978-3-540-75177-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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