A Markovian Entropy-Maximizing Model of Population Distribution

R Lee
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R Lee: Department of Geography, McMaster University, Hamilton, Ontario, Canada L8S 4K1

Environment and Planning A, 1974, vol. 6, issue 6, 693-702

Abstract: The entropy-maximizing formalism used in urban and regional modelling has typically been applied within a static or equilibrium context. This paper presents a dynamic entropy model of the distribution of population over time. It is initially assumed that a Markov chain adequately represents the residential relocation process. The strategy then involves maximizing the entropy of a Markov chain, subject to suitable constraints, so as to generate least-biased estimates of the Markovian parameters. If a stationary process is assumed, these in turn allow the projection of the probability distribution vector of population densities over successive, equal, time intervals.

Date: 1974
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Persistent link: https://EconPapers.repec.org/RePEc:sae:envira:v:6:y:1974:i:6:p:693-702

DOI: 10.1068/a060693

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