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《Science of Surveying and Mapping》 2011-03
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Modelling land use changes with machine learning-based cellular automata in a GIS environment

FENG Yong-jiu①,LIU Miao-long②(①College of Marine Sciences,Shanghai Ocean University,Shanghai 201306,China;②Department of Surveying and Geo-informatics,Tongji University,Shanghai 200092,China)  
Modelling land use changes by using cellular automata becomes an effective way to understand its complex dynamic evoluation recently.Linear methods-based conventional CA models have difficulties in dicribing the nonlinear dynamics of land use patterns.In the paper,with least square support vector machine mentods(LS-SVM),nonlinear problems in original space were projected into high-dimensional feature space by using gaussian radial basis kernel function to create a new CA model——LS-SVM-CA.The proposed LS-SVM-CA model was successfully applied in modelling land use changes of Jiading district,Shanghai from 1989 to 2006 which demonstrated that the simulated results matched well with the actual land use structure,and the overall accuracy and Kappa coefficients were higher than that of the CA model based on standard SVM.
【Fund】: 国家自然科学基金资助项目(40771174);; 上海高校选拔培养优秀青年教师科研专项基金资助项目(ssc09018)
【CateGory Index】: P208
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