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Visual Analytics for Geographic Analysis, Exemplified by Different Types of Movement Data

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Information Fusion and Geographic Information Systems

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

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Abstract

Visual analytics is introduced in the sense of a new research discipline defined as the science of analytical reasoning facilitated by interactive visual interfaces. Visual analytics combines automated analysis techniques with interactive visualizations so as to extend the perceptual and cognitive abilities of humans and enable them to extract useful information and derive knowledge from large and complex data, and to solve complex problems. Inparticular, data and problems involving geospatial components are inherently complex and therefore call for visual analytics approaches. The problems of analyzing data about movement of various discrete objects in geographical space are discussed in detail. The paper considers three types of movement data: data describing movements of a single entity during a long time period, data about simultaneous movements of multiple unrelated entities, and data about simultaneous movements of multiple related entities. The pertinent analysistasks significantly differ for these types of data. For each type of data, the visual analytics techniques and tools lately developed by the authors are briefly described.

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Author information

Authors and Affiliations

  1. Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven, 53754, Sankt Augustin, Germany

    Gennady Andrienko & Natalia Andrienko

Authors
  1. Gennady Andrienko
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  2. Natalia Andrienko
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Corresponding author

Correspondence to Gennady Andrienko .

Editor information

Editors and Affiliations

  1. 39, 14th Linia, V.O., 199178, St. Petersburg, Russia

    Vasily V. Popovich (Deputy Director of SPIIRAS for Research, Professor, Dr Sci Tech) (Deputy Director of SPIIRAS for Research, Professor, Dr Sci Tech)

  2. Naval Academy Research Institute, Lanveoc-Poulmic BP 600, F-29240, Brest Naval, France

    Christophe Claramunt

  3. GmbH Central European Institute of Technology Department of Urbanism, Transport, Environment and Information Society, CEIT ALANOVA gemeinnützige, Am Concorde Park 2, Gebäude F, A-2320, Schwechat, Austria

    Manfred Schrenk

  4. B1320 1176 Howell St., Newport, RI, 02841-1708, USA

    Kyrill V. Korolenko P.E. (Chief Scientist/NUWC Code 1543) (Chief Scientist/NUWC Code 1543)

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© 2009 Springer-Verlag Berlin Heidelberg

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Andrienko, G., Andrienko, N. (2009). Visual Analytics for Geographic Analysis, Exemplified by Different Types of Movement Data. In: Popovich, V.V., Claramunt, C., Schrenk, M., Korolenko, K.V. (eds) Information Fusion and Geographic Information Systems. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00304-2_1

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