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
dc.contributor.author | Meijie Chen | |
dc.contributor.author | Yumin Chen | |
dc.contributor.author | John P. Wilson | |
dc.contributor.author | Huangyuan Tan | |
dc.contributor.author | Tianyou Chu | |
dc.date.accessioned | 2025-05-14T13:30:22Z | |
dc.date.available | 2025-05-14T13:30:22Z | |
dc.identifier.uri | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/23446 | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject.ddc | 550 | |
dc.title | 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 | |
dc.type | supplierxml | |
dspace.entity.type | Distribution | |
relation.isDatasetOfDistribution | f1db3b63-e262-4956-972a-ce0ea9f1409f | |
relation.isDatasetOfDistribution.latestForDiscovery | f1db3b63-e262-4956-972a-ce0ea9f1409f |
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