Exploratory
Analysis of Regionalized Variables with Functional Methods
Ramón Giraldo
Abstract
It is shown how summary statistics of functional data and functional principal components analysis (FPCA) can be used to evaluate the stationarity assumption considered in modeling of regionalized variables. As an example is taken georeferenced information of depth measured at 114 locations at Ciénaga Grande de Santa Marta, Colombia.
Key words: Functional data analysis, Functional principal components analysis, Stationarity
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