Another way in which kernel methods can be applied to spatial analysis is in Gaussian Processes, which are often used to represent spatial data (Cressie 1988;Ecker and Gelfand 1997).
we can define a kernel over space, so that a response variable is distributed as a Gaussian with covariance defined by the kernel function.