Spatio-Temporal Modeling on Village Land Feature Change

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Village land continually changes in the real world. In order to keep the data up-to-date, data producers need update the data frequently. When the village land data are updated, the update information must be dispensed to the end-users to keep their client-databases current. In the real world, village land changes in many forms. Identifying the change type of village land (i.e. captures the semantics of change) and representing them in the data world can help end-users understand the change commonly and be convenient for end-users to integrate these change information into their databases. This work focuses on the model of the spatio-temporal change. A three-tuple model CAR for representing the spatio-temporal change is proposed based on the village land feature set before change and the village land feature set after change, change type and rules. In this model, the C denotes the change type. A denotes the attribute set; R denotes the judging rules of change type. The rule is described by the IF-THEN expressions. By the operations between R and A, the C is distinguished. This model overcomes the limitations of current methods. And more, the rules in this model can be easy realized in computer program.

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2721-2725

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October 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] D. Peuquet, It's about time: A conceptual framework for the representation of temporal dynamics in geographic information systems, Annals of the Association of the American Geographers, 84 (3), pp.441-461, (1994).

DOI: 10.1111/j.1467-8306.1994.tb01869.x

Google Scholar

[2] L. Spéry, C. Claramunt, T. Libourel, Geoinformatica, 5(1), pp.51-70, (2001).

DOI: 10.1023/a:1011459921552

Google Scholar

[3] C. Claramunt and M. Thériault, Managing Time in GIS An Event-Oriented Approach, In Proceedings of Recent Advances on Temporal Databases, Clifford J. and Tuzhilin A. (Eds. ), Zurich, Switzerland, Springer-Verlag, pp.23-42, (1995).

DOI: 10.1007/978-1-4471-3033-8_2

Google Scholar

[4] K. Hornsby and M.J. Egenhofer, Identity-based change: a foundation for spatio-temporal knowledge representation, International Journal of Geographical Information Science, 14(3), pp.207-224, (2000).

DOI: 10.1080/136588100240813

Google Scholar

[5] Avelino, J. G. and Douglas, D. D. The Engineering of Knowledge-Based Systems, Theory and Practice. Prentice-Hall, Inc., (1993).

Google Scholar

[6] Doyle, W., and Kerschberg, L., Data/knowledge packets as a means of supporting semantic heterogeneity in multidatabase systems. SIGMOD Record, 20, 69-73. (1991).

DOI: 10.1145/141356.141388

Google Scholar