  Power law generalized covariance functions provide a simple model for
describing the local behavior of an isotropic random field. This work seeks to
extend this class of covariance functions to spatial-temporal processes for
which the degree of smoothness in space and in time may differ while
maintaining other desirable properties for the covariance functions, including
the availability of explicit convergent and asymptotic series expansions.
