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Conference Paper: Modeling population density across major US cities: A polycentric spatial regression approach

TitleModeling population density across major US cities: A polycentric spatial regression approach
Authors
KeywordsMonocentric
Polycentric
Population density
Spatial autocorrelation
Spatial autoregressive model
Issue Date2007
Citation
Journal of Geographical Systems, 2007, v. 9 n. 1, p. 53-75 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/192308
ISSN
2023 Impact Factor: 2.8
2023 SCImago Journal Rankings: 0.663
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorGriffith, DAen_US
dc.contributor.authorWong, DWen_US
dc.date.accessioned2013-10-23T09:33:35Z-
dc.date.available2013-10-23T09:33:35Z-
dc.date.issued2007en_US
dc.identifier.citationJournal of Geographical Systems, 2007, v. 9 n. 1, p. 53-75en_US
dc.identifier.issn1435-5930en_US
dc.identifier.urihttp://hdl.handle.net/10722/192308-
dc.languageengen_US
dc.relation.ispartofJournal of Geographical Systemsen_US
dc.subjectMonocentric-
dc.subjectPolycentric-
dc.subjectPopulation density-
dc.subjectSpatial autocorrelation-
dc.subjectSpatial autoregressive model-
dc.titleModeling population density across major US cities: A polycentric spatial regression approachen_US
dc.typeConference_Paperen_US
dc.identifier.doi10.1007/s10109-006-0032-yen_US
dc.identifier.scopuseid_2-s2.0-33947143470en_US
dc.identifier.volume9en_US
dc.identifier.issue1en_US
dc.identifier.spage53en_US
dc.identifier.epage75en_US
dc.identifier.isiWOS:000244889200004-
dc.identifier.issnl1435-5930-

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