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Shi, Xun, Wang, Shaowen (2015) Computational and data sciences for health-GIS. Annals of GIS, 21 (2) 111-118 doi:10.1080/19475683.2015.1027735

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Reference TypeJournal (article/letter/editorial)
TitleComputational and data sciences for health-GIS
JournalAnnals of GIS
AuthorsShi, XunAuthor
Wang, ShaowenAuthor
Year2015 (April 3)Volume21
Issue2
PublisherInforma UK Limited
DOIdoi:10.1080/19475683.2015.1027735Search in ResearchGate
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Mindat Ref. ID14546875Long-form Identifiermindat:1:5:14546875:2
GUID0
Full ReferenceShi, Xun, Wang, Shaowen (2015) Computational and data sciences for health-GIS. Annals of GIS, 21 (2) 111-118 doi:10.1080/19475683.2015.1027735
Plain TextShi, Xun, Wang, Shaowen (2015) Computational and data sciences for health-GIS. Annals of GIS, 21 (2) 111-118 doi:10.1080/19475683.2015.1027735
In(2015, April) Annals of GIS Vol. 21 (2) Informa UK Limited

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Mclafferty, Sara (2015) Disease cluster detection methods: recent developments and public health implications. Annals of GIS, 21 (2) 127-133 doi:10.1080/19475683.2015.1008572
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Wang, Shaowen (2010) A CyberGIS Framework for the Synthesis of Cyberinfrastructure, GIS, and Spatial Analysis. Annals of the Association of American Geographers, 100 (3). 535-557 doi:10.1080/00045601003791243
Li, Yijing, Zhao, Qunshan, Zhong, Chen (2022) GIS and urban data science. Annals of GIS, 28 (2) 89-92 doi:10.1080/19475683.2022.2070969
Sarkar, Chinmoy, Webster, Chris, Gallacher, John (2015) UK Biobank Urban Morphometric Platform (UKBUMP) – a nationwide resource for evidence-based healthy city planning and public health interventions. Annals of GIS, 21 (2) 135-148 doi:10.1080/19475683.2015.1027791
 
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