A function to store a realisation of a spatial gaussian process for use in MCMC algorithms that include Bayesian parameter estimation. Stores not only the realisation, but also computational quantities.
GPrealisation(gamma, fftgrid, covFunction, covParameters, d)the transformed (white noise) realisation of the process
an object of class FFTgrid, see ?genFFTgrid
an object of class function returning the spatial covariance
an object of class CovParamaters, see ?CovParamaters
matrix of grid distances
a realisation of a spatial Gaussian process on a regular grid