Celluar Automata (CA) featured by self-organizing evolvement is used to establish the urban expansion model. This paper introduces a CA model and adopts a neighbor factor to implement controllable neighbor-effect on the basis of exploring the influence of several location feature variables on cell status conversion in historical data. Obtaining simulated results with different spatial patterns is possible through changing the value of the neighbor factor. Taking the urban district of Changsha and it vicinities as the study area, the authors conducted an experiment to simulate and predict the process of urbanization, and then evaluated and analyzed the results.
刘兴权, 吴涛, 甘喜庆. 基于可控邻域作用CA的城市扩张研究[J]. 国土资源遥感, 2011, 23(2): 110-114.
LIU Xing-Quan, WU Tao, GAN Xi-Qing. An Urban Growth Study Based on Controllable Neighbor-effect CA. REMOTE SENSING FOR LAND & RESOURCES, 2011, 23(2): 110-114.
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