Using an Eigenvector Spatial Filtering-Based Spatially Varying Coefficient Model to Analyze the Spatial Heterogeneity of COVID-19 and Its Influencing Factors in Mainland China

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datacite.relatedItem.firstPage67
datacite.relatedItem.issue1
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume11
dc.contributor.authorMeijie Chen
dc.contributor.authorYumin Chen
dc.contributor.authorJohn P. Wilson
dc.contributor.authorHuangyuan Tan
dc.contributor.authorTianyou Chu
dc.date.accessioned2025-05-14T13:30:20Z
dc.date.available2025-05-14T13:30:20Z
dc.date.issued2022
dc.identifier.doihttps://doi.org/10.3390/ijgi11010067
dc.identifier.otherjz000147-0064
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/23444
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleUsing an Eigenvector Spatial Filtering-Based Spatially Varying Coefficient Model to Analyze the Spatial Heterogeneity of COVID-19 and Its Influencing Factors in Mainland China
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/23445
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