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 fitting 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.Curvas espacialmente correlacionadas están presentes en un amplio rango
de disciplinas aplicadas. En este trabajo se describe el paquete R geofd que
implementa predicción por kriging ordinario para este tipo de datos. Inicialmente
las curvas son suavizadas usando bases de funciones de Fourier o Bsplines.
Posteriormente la dependencia espacial entre las curvas es estimada
por la función traza-variograma. Finalmente los parámetros del predictor
kriging ordinario son estimados resolviendo un sistema de ecuaciones basado
en la estimación de la función traza-variograma. Se ilustra el paquete analizando
datos reales y simulados.We would like to thank Andrés Pérez for his valuable contribution to upload the
package geofd to CRAN. This work was partially supported by the Spanish Ministry
of Education and Science through grants MTM2010-14961 and MTM2009-
13985-C02-01
