Hi folks, I need suggestions on this simple question. I have built a logistic regression model for predicting presence/absence for some kind of species in a large area. The model does not incorporate any spatial effect or longtitude or latitude. From this model I can get confidence intervals for pridictions at all pixels in that area. My concern is, can we measure the change of confidence against the distance to observed points? Generally, the closer new observations to existed ones (which are used to build the model), the higher confidence we have for the pridictions because of intrinsic spatial autocorrelation. Does variogram do this kind of job? Or any other references? Thank you very much. -- I am Tib, not Rob.
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