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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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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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