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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.date.accessioned2010-10-01T15:07:15Z
dc.date.available2010-10-01T15:07:15Z
dc.date.created2010-05-19
dc.date.issued2010-05-19
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.identifier.issn1352-8505
dc.identifier.urihttp://hdl.handle.net/2117/9246
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.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject.lcshMultivariate analysis
dc.subject.lcshGeophysics
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.typeArticle
dc.subject.lemacAnàlisi multivariable
dc.subject.lemacGeofísica
dc.contributor.groupUniversitat Politècnica de Catalunya. GREMA - Grup de Recerca en Estadística Matemàtica i les seves Aplicacions
dc.identifier.doi10.1007/s10651-010-0143-y
dc.subject.amsClassificació AMS::62 Statistics::62H Multivariate analysis
dc.subject.amsClassificació AMS::86 Geophysics
dc.relation.publisherversionhttp://www.springerlink.com/content/8162u278mn781gl0/
dc.rights.accessRestricted access - publisher's policy
drac.iddocument3106519
dc.description.versionPostprint (published version)
upcommons.citation.authorGiraldo, R.; Delicado, P.; Mateu, J.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameEnvironmental and ecological statistics
upcommons.citation.startingPage1
upcommons.citation.endingPage16


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