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Equilibrium and Nonequilibrium Statistical Thermodynamical Approaches to Modeling Spatial Interaction Dynamics

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  • P B Slater

    (Community and Organization Research Institute, University of California, Santa Barbara, CA 93106, USA)

Abstract

Spatial interaction modeling can be embedded in the framework of statistical thermodynamics. This has been shown in part by Wilson and by Erlander, in particular. However, to complete the embedding, it is necessary to ask the dynamic question of how a migratory population evolves over time from one (observed) distribution at time t 0 to another (observed) distribution at time t 1 , rather than just the question of how many people who started in one area at t 0 ended in another at t 1 —with no regard to the intermediate locations of the migrants. The manner in which such evolutionary processes are addressed in the context of equilibrium and nonequilibrium thermodynamics serves as a basis for extending the spatial interaction model of human movement.

Suggested Citation

  • P B Slater, 1992. "Equilibrium and Nonequilibrium Statistical Thermodynamical Approaches to Modeling Spatial Interaction Dynamics," Environment and Planning A, , vol. 24(3), pages 441-446, March.
    • Handle: RePEc:sae:envira:v:24:y:1992:i:3:p:441-446
    DOI: 10.1068/a240441
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    References listed on IDEAS

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    1. Beryl Nicholson, 1990. "The hidden component in census-derived migration data: Assessing its size and distribution," Demography, Springer;Population Association of America (PAA), vol. 27(1), pages 111-119, February.
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    Cited by:

    1. Uwe Blien & Alexandros Tassinopoulos, 2001. "Forecasting Regional Employment with the ENTROP Method," Regional Studies, Taylor & Francis Journals, vol. 35(2), pages 113-124.

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