Spatially weighted functional clustering of river network data

Incorporating spatial covariance into clustering has previously been considered for functional data to identify groups of functions which are similar across space. However, in the majority of situations that have been considered until now the most appropriate metric has been Euclidean distance. Dire...

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Vydáno v:	Journal of the Royal Statistical Society Ročník 64; číslo 3; s. 491 - 506
Hlavní autoři:	Haggarty, R. A., Miller, C. A., Scott, E. M.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England Blackwell Publishing Ltd 01.04.2015 John Wiley & Sons Ltd Oxford University Press BlackWell Publishing Ltd
Témata:	Analysis Analysis of covariance Bee clustering Cluster analysis Clustering Computational methods Covariance Covariance matrices Data Data smoothing Euclidean space Functional data Hierarchical clustering Mathematical analysis Mathematical functions Mathematical models Networks Nitrates Original Pollution River networks Rivers Scotland Spatial analysis Spatial models Stations Statistics Streams Studies Tweed United Kingdom Water pollution Water quality British Isles, Scotland River networks Covariance Functional data Hierarchical clustering Water quality
ISSN:	0035-9254, 1467-9876
On-line přístup:	Získat plný text
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