On the performance of two clustering methods for spatial functional data

Elvira Romano (), Jorge Mateu () and Ramon Giraldo ()

AStA Advances in Statistical Analysis, 2015, vol. 99, issue 4, 467-492

Abstract: The performance of two clustering strategies for spatially correlated functional data based on the same measure of spatial dependence is examined and compared. In particular, the role of the spatial dependence computed by the trace-variogram function is analyzed. The main features of both procedures is shown through a simulation study based on a variety of practical scenarios easily encountered in the analysis of spatial functional data. An application on real data based on salinity curves is also presented. Copyright Springer-Verlag Berlin Heidelberg 2015

Keywords: Clustering; Geostatistics; Salinity; Spatial Functional Data; Trace-variogram function (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/s10182-015-0253-9

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