  The basic Kriging's model assumes a Gaussian distribution with stationary
mean and stationary variance. In such a setting, the joint distribution of the
spatial process is characterized by the common variance and the correlation
matrix or, equivalently, by the common variance and the variogram matrix. We
discuss in in detail the option to actually use the variogram as a
parameterization.
