Open florianhartig opened 3 years ago
Regarding 1: My thinking is that it is better to use DHARMa residuals because the change of the distribution with the mean in GLMM distribution such as the Poisson / binomial could show up in variograms. That being said, I have never really looked into creating an example that shows this, so I'm not sure how much of a problem that is. I think you have to ask one a variogram expert about whether it's better to aggregate or not. I'm not sure what happens in the variogram calculation if you have several data points in the same location. I would suspect that this is averaged over, so my guess would be that it's better to choose option b) = normal DHARMa residuals, but I cannot say for sure.
Regarding 2: I have no idea. Maybe it's just the right value? The fact that b/c doesn't seem surprising, as those are the same residuals, just grouped.
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