This function allows to carry out prediction by Ordinary Kriging for function-value data by considering a Fourier or B-splines basis for smoothing the observed data set
Kriging based methods are used for predicting functional data (curves) with spatial dependence. Initially the curves are pre-processed by fitting a Fourier or B-splines basis functions. Then the spatial dependence among curves is estimated by means of the trace-variogram function. Finally the parameters for performing prediction by Ordinary Kriging at unsampled locations are estimated by solving a linear system based on the estimated trace-variogram.
Fits a parametric model to a empirical variogram and estimates covariance parameters. Aditionally all fitted variogram models are plotted for verification purpose.