Dynamic Simulation of Land Use Change in Shenzhen City Based on Markov-Logistic-CA Models

摘要：

Based on the advantages of single model in the field of land use simulation, the research construct a Markov-logistic-CA integrated model to reflect the land use change precisely considering both sides of macroscopic and microscopic factors. the conventional CA model is extended from two aspects including iteration times and conversion rules by Markov and Logistic respective. Finally the integrated model software is developed by VC.NET language and tested in the shenzhen city. The experimental result shows that Markov-logistic-CA model can better simulate and predict the situation of land use change rationally, and the result reached the expectant aim from the model accuracy test. It is conclusion that the Markov-logistic-CA model is a good tool to make decision for local government and have powerful computation function in complicated geographical system.

关键词： simulation:land use change:markov:logistic cellular automata

作者: Ping Luo Xue Cao Hongga Li Manchun Li

作者单位: Center for Assessment and Development of Land and Real Estate,Shenzhen,518034,China School of Geographic and Oceanographic Sciences,Nanjing University,210093,China Institute of Remote Sensing Applications Chinese Academy of Sciences,Beijing,100101,China

会议类型: 国际会议

会议名称: The 18th International Conference on Geoinformatics(第18届国际地理信息科学与技术大会 Geoinformatics 2010)

会议地点: 北京

会议语种:英文

页码: 1919-1923

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）