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Ordinary kriging for function-valued spatial data

Autor
Giraldo, R.; Delicado, P.; Mateu, J.
Tipus d'activitat
Article en revista
Revista
Environmental and ecological statistics
Data de publicació
2011
Volum
18
Número
3
Pàgina inicial
411
Pàgina final
426
DOI
https://doi.org/10.1007/s10651-010-0143-y Obrir en finestra nova
Projecte finançador
ANALISIS DE DATOS COMPLEJOS
Repositori
http://hdl.handle.net/2117/9246 Obrir en finestra nova
URL
http://www.springerlink.com/content/8162u278mn781gl0/ Obrir en finestra nova
Resum
In 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,...
Citació
Giraldo, R.; Delicado, P.; Mateu, J. Ordinary kriging for function-valued spatial data. "Environmental and ecological statistics", 19 Maig 2010, p. 1-16.
Paraules clau
Cross-validation Functional Data Non-parametric Curve Fitting Ordinary Kriging Soil Penetration Resistance Trace-variogram
Grup de recerca
ADBD - Anàlisi de Dades Complexes per a les Decisions Empresarials

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