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Spatiotemporal Visualisation: A Survey and Outlook

  • Chapter
Digital Urban Modeling and Simulation

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 242))

Abstract

Visualisation as a means of communication helps represent massive data sets, exchange knowledge and obtain better understanding of information. Spatiotemporal visualisation concerns changes of information in space and time. It has a natural advantage of revealing overall tendencies and movement patterns. Compared to traditional visual representations, it makes the notion of time accessible to non-expert users, and thus constitutes an important instrument in terms of decision-making that has been used in many application scenarios. As an interdisciplinary approach, substantial progress has been made in different domains, such as geographic information science, visualisation, or visual analytics, but there remains a lot of room for further advancements. In view of this, this paper presents a review of significant research in spatiotemporal visualisation, highlights a general workflow of data acquisition, information modelling and visualisation. Existing work from different domains are introduced, linked to the workflow, and possible integration strategies are given. Inspired by this summary, we also propose future work aiming at improving current spatiotemporal visualisation by integrating visualisation and interaction techniques more tightly.

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Authors and Affiliations

  1. Future Cities Laboratory Singapore, ETH Zurich, Switzerland

    Chen Zhong, Tao Wang, Wei Zeng & Stefan Müller Arisona

Authors
  1. Chen Zhong
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  2. Tao Wang
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  3. Wei Zeng
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  4. Stefan Müller Arisona
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Editor information

Editors and Affiliations

  1. Future Cities Laboratory, Singapore-ETH Centre, Singapore

    Stefan Müller Arisona  & Gideon Aschwanden  & 

  2. Chair of Information Architecture, ETH Zurich, Zurich, Switzerland

    Jan Halatsch

  3. Department of Computer Science and Engineering, Arizona State University, Tempe, AZ, USA

    Peter Wonka

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Zhong, C., Wang, T., Zeng, W., Müller Arisona, S. (2012). Spatiotemporal Visualisation: A Survey and Outlook. In: Arisona, S.M., Aschwanden, G., Halatsch, J., Wonka, P. (eds) Digital Urban Modeling and Simulation. Communications in Computer and Information Science, vol 242. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29758-8_16

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  • DOI: https://doi.org/10.1007/978-3-642-29758-8_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29757-1

  • Online ISBN: 978-3-642-29758-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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