- Dear List Members
I have got 500.000 elevation points, whose derive by the vector numeric raw data to points data transformation:
I would like to use kriging interpolator, but I have three problems:
- can I consider my data regular or irregular spaced , see figure above, ?
- Which LAG SIZE and LAG number can I use?
- Which Kriging do you adviced me, considering that my data presents a second order trend and to normalize the data I have to apply a log transformation?
[Non-text portions of this message have been removed]
Thank you for your clear description of your problem.
Your data is irregularly spaced. Your 'natural'
interval for lag would be the closest inter-contour
Lognormal universal kriging seems to be the obvious
answer to your kriging question. The back transform
for lognormal kriging with trend has been validated by
top experts such as Noel Cressie, since 1998.
If you need to assess the 'uncertainty' or confidence
on your maps, lognormal sequential simulation is very
simple on this basis.
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