A visual modeling method for spatiotemporal and multidimensional features in epidemiological analysis: Applied COVID-19 aggregated datasets

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: A visual modeling method for spatiotemporal and multidimensional features in epidemiological analysis: Applied COVID-19 aggregated datasets ; volume:10 ; number:1 ; day:30 ; month:11 ; year:2023 ; pages:161-186 ; date:2.2024
Computational Visual Media ; 10, Heft 1 (30.11.2023), 161-186, 2.2024

Creator: Dong, Yu
Liang, Christy Jie
Chen, Yi
Hua, Jie

Contributor: SpringerLink (Online service)

DOI: 10.1007/s41095-023-0353-5

URN: urn:nbn:de:101:1-2024031408463619855038

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 17.08.2025, 5:21 AM CEST

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Dong, Yu
Liang, Christy Jie
Chen, Yi
Hua, Jie
SpringerLink (Online service)

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A visual modeling method for spatiotemporal and multidimensional features in epidemiological analysis: Applied COVID-19 aggregated datasets

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