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Cities and cellular automata

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  • Roger White

Abstract

Cellular automata provide a high-resolution representation of urban spatial dynamics.Consequently they give the most realistic predictions of urban structural evolution, and in particular they are able to replicate the various fractal dimensionalities of actual cities. However, since these models do not readily incorporate certain phenomena like density measures and long-distance (as opposed to neighbourhood) spatial interactions, their performance may be enhanced by integrating them with other types of urban models.Cellular automata based models promise deeper theoretical insights into the nature of cities as self-organizing structures.

Suggested Citation

  • Roger White, 1998. "Cities and cellular automata," Discrete Dynamics in Nature and Society, Hindawi, vol. 2, pages 1-15, January.
    • Handle: RePEc:hin:jnddns:245791
    DOI: 10.1155/S1026022698000090
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    Cited by:

    1. Tingting Xu & Dingjie Zhou & Yuhua Li, 2022. "Integrating ANNs and Cellular Automata–Markov Chain to Simulate Urban Expansion with Annual Land Use Data," Land, MDPI, vol. 11(7), pages 1-15, July.
    2. Clémentine Cottineau, 2022. "Modéliser les inégalités dans l’espace géographique," Post-Print halshs-03801388, HAL.

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