Reposting due to lack of responses....
I have some occupancy data (presence/absence) which I want to interpolate; however, it is non-stationary so for that reason I suspect empirical Bayesian Kriging may be my best option. The consensus seems to be that Ordinary Kriging works fine with binary data, as long as you don't want to produce standard errors, but is this also the case with empirical Bayesian Kriging? The underlying maths is a bit beyond me to be able to work this out!
Thanks in advance