A Visual Modeling Method for Spatiotemporal and Multidimensional Features in Epidemiological Analysis: Applied COVID-19 Aggregated Datasets

Dong, Y Liang, CJ Chen, Y Hua, J

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Field	Value	Language
dc.contributor.author	Dong, Y
dc.contributor.author	Liang, CJ
dc.contributor.author	Chen, Y
dc.contributor.author	Hua, J
dc.date.accessioned	2024-01-04T05:58:35Z
dc.date.available	2024-01-04T05:58:35Z
dc.date.issued	2023-03-21
dc.identifier.citation	arXiv, 2023
dc.identifier.uri	http://hdl.handle.net/10453/174010
dc.language	en
dc.relation.ispartof	arXiv
dc.relation.isbasedon	10.48550/arxiv.2303.12092
dc.rights	info:eu-repo/semantics/openAccess
dc.title	A Visual Modeling Method for Spatiotemporal and Multidimensional Features in Epidemiological Analysis: Applied COVID-19 Aggregated Datasets
dc.type	preprint
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - VI - Visualisation Institute
utslib.copyright.status	open_access	*
dc.date.updated	2024-01-04T05:58:32Z

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