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An Application of Canonical Correlation Analysis in Regional Science: TheInterrelationships Between Transport and Development in China's Zhujiang Delta
Author(s) -
Loo Becky P.Y.
Publication year - 2000
Publication title -
journal of regional science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.171
H-Index - 79
eISSN - 1467-9787
pISSN - 0022-4146
DOI - 10.1111/0022-4146.00168
Subject(s) - canonical correlation , delta , canonical correspondence analysis , interdependence , context (archaeology) , multivariate statistics , china , regional science , canonical analysis , econometrics , computer science , geography , mathematics , statistics , ecology , sociology , engineering , biology , social science , archaeology , abundance (ecology) , aerospace engineering
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.