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East European Conference on Advances in Databases and Information Systems

ADBIS 2002: Advances in Databases and Information Systems pp 191–203Cite as

Spatio-Temporal Geographic Information Systems: A Causal Perspective

Part of the Lecture Notes in Computer Science book series (LNCS,volume 2435)

Abstract

In this paper approaches to conceptual modelling of spatio- temporal domains are identified and classified into five general cate- gories: location-based, object or feature-based, event-based, functional or behavioural and causal approaches. Much work has bee directed to- wards handling the problem from the first four view points, but less from a causal perspective. It is argued that more fundamental studies are needed of the nature of spatio-temporal objects and of their inter- actions and possible causal relationships, to support the development of spatio-temporal conceptual models. An analysis is carried out on the na- ture and type of spatio-temporal causation and a general classification is presented.

Keywords

  • Causal Relation
  • Adjacency Matrix
  • Temporal Relation
  • Data Space
  • Problem Space

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. School of Computing, University of Glamorgan, Treforest, Wales, UK

    Baher A. El-Geresy

  2. Department of Computer Science, Cardiff University, Wales, UK

    Alia I. Abdelmot & Christopher B. Jones

Authors
  1. Baher A. El-Geresy
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  2. Alia I. Abdelmot
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  3. Christopher B. Jones
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Editor information

Editors and Affiliations

  1. Department of Informatics, Aristotle University, 54006, Thessaloniki, Greece

    Yannis Manolopoulos

  2. Department of Computer Science and Engineering, Slovak University of Technology, Ilkovicova 3, 81219, Bratislava, Slovakia

    Pavol Návrat

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El-Geresy, B.A., Abdelmot, A.I., Jones, C.B. (2002). Spatio-Temporal Geographic Information Systems: A Causal Perspective. In: Manolopoulos, Y., Návrat, P. (eds) Advances in Databases and Information Systems. ADBIS 2002. Lecture Notes in Computer Science, vol 2435. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45710-0_16

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  • DOI: https://doi.org/10.1007/3-540-45710-0_16

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