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Article: An application of canonical correlation analysis in regional science: The interrelationships between transport and development in China's Zhujiang Delta

TitleAn application of canonical correlation analysis in regional science: The interrelationships between transport and development in China's Zhujiang Delta
Authors
Loo, BPY
Issue Date2000
PublisherBlackwell Publishing, Inc.
Citation
Journal Of Regional Science, 2000, v. 40 n. 1, p. 143-171 How to Cite?
DOI: http://dx.doi.org/10.1111/0022-4146.00168
AbstractCanonical 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 of spatial context. Next, I apply CCA to explore the mutually interdependent relationship between transport and development in China's Zhujiang Delta. The results highlights 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.
Persistent Identifierhttp://hdl.handle.net/10722/86250
ISSN
0022-4146
2023 Impact Factor: 3.2
2023 SCImago Journal Rankings: 1.026
ISI Accession Number ID
WOS:000085653200007
References
References in Scopus

 

DC FieldValueLanguage
dc.contributor.authorLoo, BPYen_HK
dc.date.accessioned2010-09-06T09:14:37Z-
dc.date.available2010-09-06T09:14:37Z-
dc.date.issued2000en_HK
dc.identifier.citationJournal Of Regional Science, 2000, v. 40 n. 1, p. 143-171en_HK
dc.identifier.issn0022-4146en_HK
dc.identifier.urihttp://hdl.handle.net/10722/86250-
dc.description.abstractCanonical 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 of spatial context. Next, I apply CCA to explore the mutually interdependent relationship between transport and development in China's Zhujiang Delta. The results highlights 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.en_HK
dc.languageengen_HK
dc.publisherBlackwell Publishing, Inc.en_HK
dc.relation.ispartofJournal of Regional Scienceen_HK
dc.titleAn application of canonical correlation analysis in regional science: The interrelationships between transport and development in China's Zhujiang Deltaen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0022-4146&volume=40&spage=143&epage=172&date=2000&atitle=An+Application+of+Canonical+Correlation+Analysis+in+Regional+Science:+The+Interrelationships+between+Transport+and+Development+in+China%27s+Zhujiang+Deltaen_HK
dc.identifier.emailLoo, BPY:bpyloo@hku.hken_HK
dc.identifier.authorityLoo, BPY=rp00608en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1111/0022-4146.00168-
dc.identifier.scopuseid_2-s2.0-0034081557en_HK
dc.identifier.hkuros50533en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0034081557&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume40en_HK
dc.identifier.issue1en_HK
dc.identifier.spage143en_HK
dc.identifier.epage171en_HK
dc.identifier.isiWOS:000085653200007-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridLoo, BPY=7005145560en_HK
dc.identifier.issnl0022-4146-

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