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Discussion and Outlook

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Visual Analytics of Movement

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Abstract

We revisit the key parts of the conceptual framework from Chap. 2 and link them to the transformational and analytical methods from Chaps. 3–8. We put the methods in correspondence with the types of analysis tasks. We show how the properties of available movement data can be investigated and explain their implications for the analysis. We suggest general analytical procedures composed of different types of tasks for gaining comprehensive knowledge from movement data. We discuss the methods and procedures allowing detection and analysis of various kinds of relations between movement and its spatio-temporal context. We reason about specific and general movement behaviours of individuals and collectives and argue that only visual analytics approaches can currently support reconstruction of general movement behaviours from movement data. Regarding the necessity to protect personal privacy of people whose positions are contained in movement data, we outline the approaches to privacy protection depending on the types of analysis tasks. We conclude the chapter with a discussion of future perspectives and suggest several exercises to the readers.

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Authors and Affiliations

  1. Fraunhofer IAIS, Schloss Birlinghoven, 53754, Sankt Augustin, Germany

    Gennady Andrienko, Natalia Andrienko & Stefan Wrobel

  2. IBM Haifa Research Lab, Mount Carmel, Haifa, 31905, Israel

    Peter Bak

  3. University of Konstanz, 78457, Constance, Germany

    Daniel Keim

  4. University of Bonn, Bonn, Germany

    Gennady Andrienko, Natalia Andrienko & Stefan Wrobel

Authors
  1. Gennady Andrienko
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  2. Natalia Andrienko
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  3. Peter Bak
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  4. Daniel Keim
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  5. Stefan Wrobel
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Correspondence to Gennady Andrienko .

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Andrienko, G., Andrienko, N., Bak, P., Keim, D., Wrobel, S. (2013). Discussion and Outlook. In: Visual Analytics of Movement. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37583-5_9

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  • DOI: https://doi.org/10.1007/978-3-642-37583-5_9

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37582-8

  • Online ISBN: 978-3-642-37583-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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