geofd: An R Package for Function-Valued Geostatistical Prediction

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Autor principal: Ramón Giraldo
Formato: Artículo científico
Lenguaje:en
Publicado: Universidad Nacional de Colombia 2012
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author Ramón Giraldo
author_facet Ramón Giraldo
contents geofd: An R Package for Function-Valued Geostatistical Prediction Ramón Giraldo Jorge Mateu Pedro Delicado Física, Astronomía y Matemáticas Smoothing Variogram Spatial data Functional data Spatially correlated curves are present in a wide range of applied disciplines. In this paper we describe the R package geofd which implements ordinary kriging prediction for this type of data. Initially the curves are pre-processed by tting a Fourier or B-splines basis functions. After that the spatial dependence among curves is estimated by means of the tracevariogram function. Finally the parameters for performing prediction by ordinary kriging at unsampled locations are by estimated solving a linear system based estimated trace-variogram. We illustrate the software analyzing real and simulated data. 2012 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89925367002 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.3 Vol.35
format Artículo científico
id redalyc_89925367002
institution Redalyc
language en
publishDate 2012
publisher Universidad Nacional de Colombia
spellingShingle geofd: An R Package for Function-Valued Geostatistical Prediction
Ramón Giraldo
Física, Astronomía y Matemáticas
Smoothing
Variogram
Spatial data
Functional data
geofd: An R Package for Function-Valued Geostatistical Prediction Ramón Giraldo Jorge Mateu Pedro Delicado Física, Astronomía y Matemáticas Smoothing Variogram Spatial data Functional data Spatially correlated curves are present in a wide range of applied disciplines. In this paper we describe the R package geofd which implements ordinary kriging prediction for this type of data. Initially the curves are pre-processed by tting a Fourier or B-splines basis functions. After that the spatial dependence among curves is estimated by means of the tracevariogram function. Finally the parameters for performing prediction by ordinary kriging at unsampled locations are by estimated solving a linear system based estimated trace-variogram. We illustrate the software analyzing real and simulated data. 2012 artículo científico 0120-1751 https://www.redalyc.org/articulo.oa?id=89925367002 en http://www.redalyc.org/revista.oa?id=899 Revista Colombiana de Estadística application/pdf Universidad Nacional de Colombia Revista Colombiana de Estadística (Colombia) Num.3 Vol.35
title geofd: An R Package for Function-Valued Geostatistical Prediction
topic Física, Astronomía y Matemáticas
Smoothing
Variogram
Spatial data
Functional data
url https://www.redalyc.org/articulo.oa?id=89925367002