A visual modeling method for spatiotemporal and multidimensional features in epidemiological analysis: Applied COVID-19 aggregated datasets
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
-
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
- Urheber
-
Dong, Yu
Liang, Christy Jie
Chen, Yi
Hua, Jie
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1007/s41095-023-0353-5
- URN
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urn:nbn:de:101:1-2024031408463619855038
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:56 MESZ
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Beteiligte
- Dong, Yu
- Liang, Christy Jie
- Chen, Yi
- Hua, Jie
- SpringerLink (Online service)
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