[ai-geostats] Cutting high grade values before compositing
- Dear listers,
I have a set of core drill data that have not the same length. So that for
the variographic studies and the calculation of resources (using kriging), I
have to make a compositing (i.e. producing composites with the same length)
on core drill data. But at the same time I have to lower outliers high grade
data to a certain limit, in the concern to reduce their influence.
My question is: have I to deal with outliers before the compositing?
Thanks for any advice
MSN Hotmail : antivirus et antispam intégrés