Dear list,
I am puzzled about the use of logarithmic and nscore transforms in geostatistics.
Given the apparent advantages in using nscore transforms over the logarithmic transform (nscore has no problem when dealing with 0 values and is "managing" the tails of the distribution very (more?) efficiently), why would one still want to use log-normal kriging? Because of the mathematical elegance of using a model only?
Moreover, one can frequently not be "sure" about the lognormality of the analysed dataset, so why would one still take the risk of using log-normal kriging?
Thank you in advance for any feedback on this issue.
Best regards,
Gregoire
__________________________________________
Gregoire Dubois (Ph.D.)
European Commission (EC)
Joint Research Centre Directorate (DG JRC)
Institute for Environment and Sustainability (IES)
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ITALY
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