Partial and semi-partial statistics of spatial associations for multivariate areal data
Metadades
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INVESTIGACIONAquest recurs és restringit
https://doi.org/10.1111/gean.12266 |
Metadades
Títol
Partial and semi-partial statistics of spatial associations for multivariate areal dataData de publicació
2020-06-12Editor
WileyISSN
0016-7363Cita bibliogràfica
ECKARDT, Matthias; MATEU, Jorge. Partial and Semi‐Partial Statistics of Spatial Associations for Multivariate Areal Data. Geographical Analysis, 2020Tipus de document
info:eu-repo/semantics/articleVersió de l'editorial
https://onlinelibrary.wiley.com/doi/full/10.1111/gean.12266Versió
info:eu-repo/semantics/publishedVersionResum
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. [-]
Publicat a
Geographical Analysis, 2020Entitat finançadora
Spanish Ministry of Science | Generalitat Valenciana
Codi del projecte o subvenció
PID2019-107392RB-I00 | AICO/2019/198
Drets d'accés
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/restrictedAccess
info:eu-repo/semantics/restrictedAccess
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- MAT_Articles [763]