To aid the analysis of two-dimensional stationary processes, three different models are considered, derived from the second-order stochastic partial differential equation. Their correlation functions are calculated, for fitting data in the form of a correlogram to the model. The corresponding Green functions describe the physical nature of the models, and in particular distinguish between space-like and time-like axes.