Thanks for developing this cracking R package, I've found it exceptionally useful for my research.
My work is focusing on the changing permeability of building masonry caused by stone decay. As the decay proceeds we see the development of areas of structural change leading to increased permeability. These high values mean that nearly all of my data needs to be transformed to remove asymmetry from the data.
I was wondering if functionality exists within RGeostats for unbiased back transformation after lognormal kriging? I've been using log10 to provide my distributions with a normal distribution prior to estimating the variograms.
#Transformation to log10 of value
data.db <- db.add(data.db,Slice.4.transformed=log10((Slice.4)+1))
Queen's University Belfast.