Partial and semi-partial statistics of spatial associations for multivariate areal data
Metadatos
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https://doi.org/10.1111/gean.12266 |
Metadatos
Título
Partial and semi-partial statistics of spatial associations for multivariate areal dataFecha de publicación
2020-06-12Editor
WileyISSN
0016-7363Cita bibliográfica
ECKARDT, Matthias; MATEU, Jorge. Partial and Semi‐Partial Statistics of Spatial Associations for Multivariate Areal Data. Geographical Analysis, 2020Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://onlinelibrary.wiley.com/doi/full/10.1111/gean.12266Versión
info:eu-repo/semantics/publishedVersionResumen
The analysis of correlation structures among multivariate spatially aggregated data has become increasingly important and poses substantial challenges. This article concerns the development of partial and semi‐partial ... [+]
The analysis of correlation structures among multivariate spatially aggregated data has become increasingly important and poses substantial challenges. This article concerns the development of partial and semi‐partial statistics of spatial associations in the context of multivariate spatial areal data extending Moran's I and Geary's C. The proposed statistical tools describe global or local associations among spatially aggregated measurements for pairs of different components conditional on all remaining components. The new statistics are tested through a simulation study and illustrated using aggregated data on the COVID‐19 pandemic recorded at the Community level in Spain. [-]
Publicado en
Geographical Analysis, 2020Entidad financiadora
Spanish Ministry of Science | Generalitat Valenciana
Código del proyecto o subvención
PID2019-107392RB-I00 | AICO/2019/198
Derechos de acceso
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/restrictedAccess
info:eu-repo/semantics/restrictedAccess
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