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A Markovian Entropy-Maximizing Model of Population Distribution

Bibliographic Data

ID4141985
AuthorsR Lee (0000-0002-9698-810X, McMaster University, corresponding author)
Year1974
Volume6
Issue6
Pages693-702
Publication date1974-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironment and Planning A Economy and Space (JOURNAL)
Journal identifiersISSN: 0308-518X • E-ISSN: 1472-3409
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1068/a060693
OpenAlexW2087410187
LanguageEN
Citations received2
References cited16

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

Entropy rate · Joint quantum entropy · Markov chain · Markov model · Markov process · Markov property · Markov renewal process · Mathematical optimization · Maximum entropy probability distribution · Physics · Population · Principle of maximum entropy · Statistical physics · Statistics · Computer Science · Impact of Light on Environment and Health · Land Use and Ecosystem Services · Mathematics · Urban Design and Spatial Analysis · Applied Mathematics

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  • The Population Density and Rent Distribution Models within a Multicentre Framework

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Unique citing works2
Citations per year0,04
Citation span1978 - 1983 (6)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2
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