Modeling urban land use changes in Lanzhou based on artificial neural network and cellular automata
This paper presented a model to simulate urban land use changes based on artificial neural network (ANN) and cellular automata (CA).The model was scaled down at the intra-urban level with subtle land use categorization,developed with Matlab 7.2 and loosely coupled with GIS.Urban land use system is a very complicated non-linear social system influenced by many factors.In this paper,four aspects of a totality 17 factors,including physical,social-economic,neighborhoods and policy,were considered synthetically.ANN was proposed as a solution of CA model calibration through its training to acquire the multitudinous parameters as a substitute for the complex transition rules.A stochastic perturbation parameter v was added into the model,and five different scenarios with different values of v and the threshold were designed for simulations and predictions to explore their effects on urban land use changes.Simulations of 2005 and predictions of 2015 under the five different scenarios were made and evaluated.Finally,the advantages and disadvantages of the model were discussed.
Modeling urban land use changes artificial neural network cellular automata
Xibao Xu Jianming Zhang Xiaojian Zhou
Nanjing Institute of Geography and Limnology,Chinese Academy of Sciences,Nanjing,China 210008 Key Laboratory of Western Chinas Environmental Systems & College of Earth and Environmental Science School of Science,Nantong University,Nantong,Jiangsu 226007
国际会议
第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)
广州
英文
2008-06-28（万方平台首次上网日期，不代表论文的发表时间）