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Cellular Worlds

A Framework for Modeling Micro-Macro Dynamics

Bibliographic Data

ID5137263
AuthorsHelen Couclelis (University of California, Santa Barbara, corresponding author)
Year1985
Volume17
Issue5
Pages585-596
Publication date1985-05-01
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/a170585
OpenAlexW2130984710
LanguageEN
Citations received55
References cited15

Cellular spaces have recently received a lot of attention in computer science and elsewhere as models capable of bridging the gap between disaggregate and aggregate description. Despite their obvious spatial interpretation, standard cell-space models are too constrained by their background conventions to be useful in realistic geographic applications. In this paper, a generalization of the cell-space principle is presented, based on discrete model theory, and then applied to a hypothetical but fairly complex problem of individual decision and large-scale urban change. The paper ends with a discussion of the wider import of this methodology, which has close links with, among other things, bifurcation theory, cognitive science modeling of individual decision and behavior, and other issues of actual or potential interest to geographers

Aggregate behavior · Data science · Economics · Epistemology · Generalization · Macro · Management science · Mathematical economics · Cellular Automata and Applications · Computer Science · Land Use and Ecosystem Services · Mathematics · Urban Design and Spatial Analysis · Theoretical Computer Science

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Unique citing works55
Citations per year1,38
Citation span1986 - 2026 (41)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 53

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