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dc.contributor.authorGiraldo, R.
dc.contributor.authorDelicado Useros, Pedro Francisco
dc.contributor.authorMateu, J.
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.identifier.citationGiraldo, R.; Delicado, P.; Mateu, J. Ordinary kriging for function-valued spatial data. "Environmental and ecological statistics", 19 Maig 2010, p. 1-16.
dc.description.abstractIn various scientific fields properties are represented by functions varying over space. In this paper, we present a methodology to make spatial predictions at non-data locations when the data values are functions. In particular, we propose both an estimator of the spatial correlation and a functional kriging predictor. We adapt an optimization criterion used in multivariable spatial prediction in order to estimate the kriging parameters. The curves are pre-processed by a non-parametric fitting, where the smoothing parameters are chosen by cross-validation. The approach is illustrated by analyzing real data based on soil penetration resistances.
dc.format.extent16 p.
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject.lcshMultivariate analysis
dc.subject.otherCross-validation Functional data Non-parametric curve fitting Ordinary kriging Soil penetration resistance Trace-variogram
dc.titleOrdinary kriging for function-valued spatial data
dc.subject.lemacAnàlisi multivariable
dc.contributor.groupUniversitat Politècnica de Catalunya. GREMA - Grup de Recerca en Estadística Matemàtica i les seves Aplicacions
dc.subject.amsClassificació AMS::62 Statistics::62H Multivariate analysis
dc.subject.amsClassificació AMS::86 Geophysics
dc.rights.accessRestricted access - publisher's policy
dc.description.versionPostprint (published version)
local.citation.authorGiraldo, R.; Delicado, P.; Mateu, J.
local.citation.publicationNameEnvironmental and ecological statistics

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