Integration of principal components analysis and cellular automata for spatial decisionmaking and urban simulation

作     者：黎夏 叶嘉安 

作者机构：Guangzhou Institute of Geography Guangzhou 510070 China Centre of Urban Planning and Environmental Management The University of Hong Kong Hong Kong SAR China 

出 版 物：《Science China Earth Sciences》 (中国科学（地球科学英文版）)

年 卷 期：2002年第45卷第6期

页      面：521-529页

学科分类：12[管理学] 1204[管理学-公共管理] 08[工学] 081303[工学-城市规划与设计(含：风景园林规划与设计）] 0813[工学-建筑学] 0833[工学-城乡规划学] 083302[工学-城乡规划与设计] 

基　　金：This project was supported by the National Natural Science Foundation of China (Grant No. 40071060) the Croucher Foundation of Hong Kong (Grant No. 21009619) 

主　　题：principal components analysis, cellular automata, geographical information systems, urban simulation. 

摘      要：This paper discusses the issues about the correlation of spatial variables during spatial decisionmaking using multicriteria evaluation (MCE) and cellular automata (CA). The correlation of spatial variables can cause the malfunction of MCE. In urban simulation, spatial factors often exhibit a high degree of correlation which is considered as an undesirable property for MCE. This study uses principal components analysis (PCA) to remove data redundancy among a large set of spatial variables and determine ideal points for land development. PCA is integrated with cellular automata and geographical information systems (GIS) for the simulation of idealized urban forms for planning purposes.