Partial and semi-partial statistics of spatial associations for multivariate areal data
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https://doi.org/10.1111/gean.12266 |
Metadata
Title
Partial and semi-partial statistics of spatial associations for multivariate areal dataDate
2020-06-12Publisher
WileyISSN
0016-7363Bibliographic citation
ECKARDT, Matthias; MATEU, Jorge. Partial and Semi‐Partial Statistics of Spatial Associations for Multivariate Areal Data. Geographical Analysis, 2020Type
info:eu-repo/semantics/articlePublisher version
https://onlinelibrary.wiley.com/doi/full/10.1111/gean.12266Version
info:eu-repo/semantics/publishedVersionAbstract
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. [-]
Is part of
Geographical Analysis, 2020Funder Name
Spanish Ministry of Science | Generalitat Valenciana
Project code
PID2019-107392RB-I00 | AICO/2019/198
Rights
http://rightsstatements.org/vocab/CNE/1.0/
info:eu-repo/semantics/restrictedAccess
info:eu-repo/semantics/restrictedAccess
This item appears in the folowing collection(s)
- INIT_Articles [754]
- MAT_Articles [766]