In this paper we introduce a depth measure for geostatistical functional data. The aim is to provide a tool which allows to get a center-outward ordering of functional data recorded by sensors placed on a geographic area. Although the topic of ordering functional data has already been addressed in the literature, no proposal analyzes the case in which there is a spatial dependence among the curves as a result of the spatial location. With this aim, we extend a well known depth measure for functional data by introducing a new component in the measurement, which accounts for the spatial covariance. Through an application of the proposed method to a wide range of simulated cases, we will show its effectiveness in discovering an useful ordering of the spatially located curves.
A depth function for geostatistical functional data
BALZANELLA, Antonio;ROMANO, Elvira
2015
Abstract
In this paper we introduce a depth measure for geostatistical functional data. The aim is to provide a tool which allows to get a center-outward ordering of functional data recorded by sensors placed on a geographic area. Although the topic of ordering functional data has already been addressed in the literature, no proposal analyzes the case in which there is a spatial dependence among the curves as a result of the spatial location. With this aim, we extend a well known depth measure for functional data by introducing a new component in the measurement, which accounts for the spatial covariance. Through an application of the proposed method to a wide range of simulated cases, we will show its effectiveness in discovering an useful ordering of the spatially located curves.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
