Simulating urban expansion using a cloud-based cellular automata model: A case study of Jiangxia, Wuhan, China

摘要: Because of the complexity urban systems, dynamic process expansion is filled with uncertainty. Although many studies have been done on cellular automata (CA)-based models, measurements uncertainties and uncertainty propagation were commonly neglected when constructing CA models. The cloud model can express its propagation, coherently integrates fuzziness randomness as well overcoming limitations fuzzy theory Monte Carlo method. A cloud-based (cloud-CA) presented in this paper to represent show dependence simulation results different degrees represented by hyper-entropy (He). We implemented cloud-CA applied it Jiangxia, Wuhan, China. After appropriate parameter settings for model, a comparison fuzzy-set-based (fuzzy-CA) hybrid based set method (FSMC-CA) was made simulating spatial patterns growth Jiangxia from 2002 2007. experiment indicated that has better performance than other two higher kappa indices figure merit, proving effectiveness model.