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Representing and Reasoning about Changing Spatial Extensions of Geographic Features

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Spatial Information Theory (COSIT 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8116))

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Abstract

This paper presents a logical framework for representing and reasoning about events and processes which are characterised by changes in the spatial extension of geographic features. This work addresses some crucial (and still open) issues on the modelling of geographic dynamics, such as how to represent the relationship between events, processes and geographic features and how to relate event and process types to their particular instances; how to handle spatial and temporal vagueness to associate specific spatio-temporal boundaries with events and process instances; and how to provide a flexible representation which can be applied to distinct geographic phenomena as well as which can accommodate different standpoints on these phenomena. Particular focus is placed on phenomena which can be identified from spatio-temporal data of the geographic domain, and therefore a discussion is given on the way the logical framework can be linked to data. Finally, we present a system prototype implemented to experiment the proposed logical framework with real data.

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Author information

Authors and Affiliations

  1. School of Computing, University of Leeds, Leeds, LS2 9JT, UK

    Claudio E. C. Campelo & Brandon Bennett

Authors
  1. Claudio E. C. Campelo
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  2. Brandon Bennett
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Editor information

Editors and Affiliations

  1. School of Linguistics & English Language, Bangor University, College Road, LL57 2DG, Bangor, UK

    Thora Tenbrink

  2. School of Computing, University of Leeds, Woodhouse Lane, LS2 9JT, Leeds, UK

    John Stell

  3. College of Engineering, Mathematics and Physical Sciences, University of Exeter, Harrison Building, North Park Road, EX4 4QF, Exeter, UK

    Antony Galton  & Zena Wood  & 

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Campelo, C.E.C., Bennett, B. (2013). Representing and Reasoning about Changing Spatial Extensions of Geographic Features. In: Tenbrink, T., Stell, J., Galton, A., Wood, Z. (eds) Spatial Information Theory. COSIT 2013. Lecture Notes in Computer Science, vol 8116. Springer, Cham. https://doi.org/10.1007/978-3-319-01790-7_3

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  • DOI: https://doi.org/10.1007/978-3-319-01790-7_3

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01789-1

  • Online ISBN: 978-3-319-01790-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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