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| Format: | Artículo científico |
| Language: | en |
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Universidad Nacional de Colombia
2012
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| Online Access: | https://www.redalyc.org/articulo.oa?id=89925367002 |
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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 |
| 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 |