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Visual Analytics in the Aviation and Maritime Domains

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Big Data Analytics for Time-Critical Mobility Forecasting

Abstract

Visual analytics is a research discipline that is based on acknowledging the power and the necessity of the human vision, understanding, and reasoning in data analysis and problem solving. It develops a methodology of analysis that facilitates human activities by means of interactive visual representations of information. By examples from the domains of aviation and maritime transportation, we demonstrate the essence of the visual analytics methods and their utility for investigating properties of available data and analysing data for understanding real-world phenomena and deriving valuable knowledge. We describe four case studies in which distinct kinds of knowledge have been derived from trajectories of vessels and airplanes and related spatial and temporal data by human analytical reasoning empowered by interactive visual interfaces combined with computational operations.

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Acknowledgements

This research was supported by Fraunhofer Cluster of Excellence on “Cognitive Internet Technologies” and by EU in SESAR project TAPAS (Towards an Automated and exPlainable ATM System.

Author information

Authors and Affiliations

  1. Fraunhofer Institute IAIS, Sankt Augustin, Germany

    Gennady Andrienko, Natalia Andrienko, Georg Fuchs & Stefan Rüping

  2. City University of London, London, UK

    Gennady Andrienko & Natalia Andrienko

  3. CRIDA (Reference Center for Research, Development and Innovation in ATM), Madrid, Spain

    Jose Manuel Cordero

  4. Boeing Research & Development Europe, Madrid, Spain

    David Scarlatti

  5. University of Piraeus, Piraeus, Greece

    George A. Vouros

  6. Nommon Solutions and Technologies, Madrid, Spain

    Ricardo Herranz & Rodrigo Marcos

Authors
  1. Gennady Andrienko
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  2. Natalia Andrienko
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  3. Georg Fuchs
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  4. Stefan Rüping
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  5. Jose Manuel Cordero
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  6. David Scarlatti
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  7. George A. Vouros
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  8. Ricardo Herranz
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  9. Rodrigo Marcos
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Corresponding author

Correspondence to Gennady Andrienko .

Editor information

Editors and Affiliations

  1. Department of Digital Systems, University of Piraeus, Piraeus, Greece

    George A. Vouros

  2. Intelligent Analysis & Info Systems, Fraunhofer Institute IAIS, Sankt Augustin, Germany

    Gennady Andrienko

  3. Department of Digital Systems, University of Piraeus, Piraeus, Greece

    Christos Doulkeridis

  4. Department of Statistics and Insurance Science, University of Piraeus, Piraeus, Greece

    Nikolaos Pelekis

  5. Complex Event Recognition Group, NCSR “Demokritos”, Agia Paraskevi, Greece

    Alexander Artikis

  6. Centre for Maritime Research and Experimentation (CMRE), NATO Science and Technology Organization (STO), La Spezia, Italy

    Anne-Laure Jousselme

  7. Naval Research Institute (IRENav), Arts & Metiers-Paris Tech, Brest, France

    Cyril Ray

  8. Edificio Allende, CRIDA, Madrid, Spain

    Jose Manuel Cordero

  9. Boeing Research & Technology Europe, Madrid, Spain

    David Scarlatti

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Andrienko, G. et al. (2020). Visual Analytics in the Aviation and Maritime Domains. In: Vouros, G., et al. Big Data Analytics for Time-Critical Mobility Forecasting. Springer, Cham. https://doi.org/10.1007/978-3-030-45164-6_3

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  • DOI: https://doi.org/10.1007/978-3-030-45164-6_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-45163-9

  • Online ISBN: 978-3-030-45164-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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