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Building New Spatial Interaction Models by Using Genetic Programming and a Supercomputer

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  • G Diplock

    (GMAP Ltd, 5-7 Cromer Terrace, Leeds LS2 9JU, England)

Abstract

An application of a parallel genetic programming approach to discovering new spatial interaction models is described. It is noted that geographic information systems have resulted in the creation of extremely data-rich environments but it is proving very difficult to exploit this situation because of the lack of suitable models and the difficulties of model creation by more traditional hypothetico-deductive routes. The author describes how to develop new models via a machine-based inductive approach. A Cray T3D parallel supercomputer with 512 processors is used to investigate the potential of this approach to building computer models. Results are described which allude to the potential power of the method for applications where there is a considerable amount of data but no suitable existing models and no good theoretical framework on which to base their development.

Suggested Citation

  • G Diplock, 1998. "Building New Spatial Interaction Models by Using Genetic Programming and a Supercomputer," Environment and Planning A, , vol. 30(10), pages 1893-1904, October.
    • Handle: RePEc:sae:envira:v:30:y:1998:i:10:p:1893-1904
    DOI: 10.1068/a301893
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    References listed on IDEAS

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    1. Openshaw, Stan, 1992. "Some Suggestions Concerning the Development of Artificial Intelligence Tools for Spatial Modelling and Analysis in GIS," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 26(1), pages 35-51, April.
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    Cited by:

    1. Ningchuan Xiao & David A Bennett & Marc P Armstrong, 2002. "Using Evolutionary Algorithms to Generate Alternatives for Multiobjective Site-Search Problems," Environment and Planning A, , vol. 34(4), pages 639-656, April.

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