An improved cellular automata forecasting model for urban land use spatial structure changes

摘要：

Though the urban land use spatial dynamic simulation and forecasting based on cellular automata (CA) model have achieved remarkable progress,the CA model still has some problems and drawbacks in forecasting urban land use changes.In view of the deficiencies of traditional urban CA,an improved CA model based on spatial dynamic data mining and random forecast is proposed in this paper,which establishes an operable CA method to forecast and simulate the discrete status attribute.This improved CA model is examined in analyzing the urban land use structure changes in Jinan 2002-2006 and testified both feasible and effective.Based on the remote sensing images in Jinan 2002 and 2006,the urban land use spatial structures are classified into five types,commercial land,residential land,education facility,industrial land and the other.With the improved CA model,the urban land use framework in Jinan in 2010 was calculated,the result of which can be used as a reliable reference information for the following urban land use planning.

关键词： cellular automata (CA) transition rule urban land use random forecast dynamic forecast

作者: Yan Wang Peilin Wu Zhenbai Song Junru Cao

作者单位: School of Architectural Engineering,Shandong University of Technology,Zibo 255049,China School of Economics,Shandong University of Technology,Zibo 255049,China Dept.of Resource and Environment,Shandong University of Technology,Zibo 255049,China

会议类型: 国际会议

会议名称: 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)

会议地点: 广州

会议语种:英文

在线出版日期: 2008-06-28（万方平台首次上网日期，不代表论文的发表时间）