An Application of Canonical Correlation Analysis in Regional Science: TheInterrelationships Between Transport and Development in China's Zhujiang Delta
介绍了典型相关分析（CCA）在区域科学中的算法和应用，并用它揭示了中国珠江三角洲交通与发展之间的相互依赖关系，识别出两种主导和四种次主导的结构与空间模式。
Canonical correlation analysis (CCA) has the ability to deal with two sets of multivariate variables simultaneously and to produce both structural and spatial meanings. In view of the valuable insights to be gained, in this paper I examine the potential applications of CCA in regional science by describing its algorithm in a regional or spatial context. Next, I apply CCA to explore the mutually interdependent relationship between transport and development inChina's Zhujiang Delta. The results highlight the utility of CCA in revealing the structural and spatial patterns of two dominant and four subdominant transport‐development relationships in this growing region of China.