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The Improved Cellular Automata and Its Application in Delineation of Urban Spheres of Influence

Author

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  • Yu Deng

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Datun Road, Chaoyang District, Beijing 100101, China)

Abstract

The issue of spatial diffusion and pattern division of traditional cellular automata (CA) has drawn widespread attention and generated extensive work by scholars. However, there are many deficiencies in traditional configurations of CA neighborhoods, which reduce simulation accuracy. The effect of improved methods of traditional configurations of CA neighborhoods is not obvious, and its interoperability is not strong. Therefore, this paper firstly puts forward the concept of the circular neighborhood of CA constrained by the space metric method based on map algebra, and compares the spatial division pattern and anisotropy of different types of neighborhoods in detail. Then, the CA’s weighted diffusion model is discussed to delineate urban spheres of influence in Henan Province. Finally, Weibo data is used to justify a reasonable delineation of urban spheres of influence and can correctly reflect the state of regional development, further proving that improved cellular automata in algorithms and applications have great significance.

Suggested Citation

  • Yu Deng, 2014. "The Improved Cellular Automata and Its Application in Delineation of Urban Spheres of Influence," Sustainability, MDPI, vol. 6(12), pages 1-20, December.
    • Handle: RePEc:gam:jsusta:v:6:y:2014:i:12:p:8931-8950:d:43130
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    Cited by:

    1. Yan Liu & Yongjiu Feng, 2016. "Simulating the Impact of Economic and Environmental Strategies on Future Urban Growth Scenarios in Ningbo, China," Sustainability, MDPI, vol. 8(10), pages 1-16, October.

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