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International Conference on Geographic Information Science

GIScience 2010: Geographic Information Science pp 310–324Cite as

5D Data Modelling: Full Integration of 2D/3D Space, Time and Scale Dimensions

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6292))

Abstract

This paper proposes an approach for data modelling in five dimensions. Apart from three dimensions for geometrical representation and a fourth dimension for time, we identify scale as fifth dimensional characteristic. Considering scale as an extra dimension of geographic information, fully integrated with the other dimensions, is new. Through a formal definition of geographic data in a conceptual 5D continuum, the data can be handled by one integrated approach assuring consistency across scale and time dimensions. Because the approach is new and challenging, we choose to step-wise studying several combinations of the five dimensions, ultimately resulting in the optimal 5D model. We also propose to apply mathematical theories on multidimensional modelling to well established principles of multidimensional modelling in the geo-information domain. The result is a conceptual full partition of the 3Dspace+time+scale space (i.e. no overlaps, no gaps) realised in a 5D data model implemented in a Database Management System.

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Author information

Authors and Affiliations

  1. OTB, GISt, Techncial, University of Delft, The Netherlands

    Peter van Oosterom & Jantien Stoter

  2. Kadaster, Apeldoorn, The Netherlands

    Jantien Stoter

Authors
  1. Peter van Oosterom
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  2. Jantien Stoter
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Editor information

Editors and Affiliations

  1. University of Zurich, 8057, Zurich, Switzerland

    Sara Irina Fabrikant  & Tumasch Reichenbacher  & 

  2. Utrecht University, 3508, Utrecht, The Netherlands

    Marc van Kreveld

  3. University of Bamberg, 96047, Bamberg, Germany

    Christoph Schlieder

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van Oosterom, P., Stoter, J. (2010). 5D Data Modelling: Full Integration of 2D/3D Space, Time and Scale Dimensions. In: Fabrikant, S.I., Reichenbacher, T., van Kreveld, M., Schlieder, C. (eds) Geographic Information Science. GIScience 2010. Lecture Notes in Computer Science, vol 6292. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15300-6_22

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  • DOI: https://doi.org/10.1007/978-3-642-15300-6_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15299-3

  • Online ISBN: 978-3-642-15300-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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