[ai-geostats] Re: question about kriging with skewed distribution
Although theoretically non-point support has no reason
to be lognormal, in practice it very often is. We have
had good results in estimating areas and volumes,
although we have limited experience with non-point
support of any significance.
You can test the persistency of lognormality by
aggregating your (point?) sample values into larger
units or by simulation.
If you seek something theoretically sound you could
use a model based on your 'point' samples to simulate
aggregates and investigate the distributions which
Noel Cressie has done quite a bit with aggregated
values. I do not have references to hand but I am sure
a search would turn up some interesting stuff.