Yes you can. Look at my paper http://home.comcast.net/~pgoovaerts/BIOFERTarticle.pdf Fig. 14, right column. The EC local component is the nuggt effect component and the graph below shows the transect of electrical conductivity values after filtering of that microscale component. You can find other examples in the refereed publication section of my website .
Cheers, Pierre On Mon, Feb 1, 2010 at 9:17 PM, M. Nur Heriawan <mn_heria...@yahoo.com>wrote: > Goovaerts, regarding the factorial kriging you mentioned below...is it > possible to filter the micro component (nugget effect) from our spatial > model? Because the magnitude of nugget effect is related to the magnitude of > variance error as well. > > Thank you. > > Regards, > --------------- > M. Nur Heriawan > Earth Resources Exploration Research Group > Faculty of Mining and Petroleum Engineering > Institut Teknologi Bandung (ITB) > Jl. Ganesha 10 Bandung 40132 INDONESIA > http://www.mining.itb.ac.id/heriawan > > > ------------------------------ > *From:* Pierre Goovaerts <goovae...@terraseer.com> > *To:* seba <sebastiano.trevis...@libero.it> > *Cc:* José M. Blanco Moreno <jmbla...@ub.edu>; ai-geostats@jrc.it > *Sent:* Tue, February 2, 2010 12:27:09 AM > *Subject:* Re: AI-GEOSTATS: moving averages and trend > > well Factorial Kriging Analysis allows you to tailor the filtering weights > to the spatial patterns in your data. You can use the same filter size but > different kriging weights depending on whether you want to estimate > the local or regional scales of variability. > > Pierre > > 2010/2/1 seba <sebastiano.trevis...@libero.it> > >> Hi José >> Thank you for the interesting references. I'm going to give a look! >> Bye >> Sebastiano >> >> >> >> At 15.46 01/02/2010, José M. Blanco Moreno wrote: >> >> Hello again, >> I am not a mathematician, so I never worried too much on the theoretical >> reasons. You may be able to find some discussion on this subject in Eubank, >> R.L. 1999. Nonparametric Regression and Spline Smoothing, 2a ed. M. Dekker, >> New York. >> You may be also interested on searching information in and related to >> (perhaps citing) this work: Altman, N. 1990. Kernel smoothing of data with >> correlated errors. Journal of the American Statistical Association, 85: >> 749-759. >> >> En/na seba ha escrit: >> >> Hi José >> Thank you for your reply. >> Effectively I'm trying to figure out the theoretical reasons for their >> use. >> Bye >> Sebas >> >> > > > -- > Pierre Goovaerts > > Chief Scientist at BioMedware Inc. > 3526 W Liberty, Suite 100 > Ann Arbor, MI 48103 > Voice: (734) 913-1098 (ext. 202) > Fax: (734) 913-2201 > > Courtesy Associate Professor, University of Florida > Associate Editor, Mathematical Geosciences > Geostatistician, Computer Sciences Corporation > President, PGeostat LLC > 710 Ridgemont Lane > Ann Arbor, MI 48103 > Voice: (734) 668-9900 > Fax: (734) 668-7788 > > http://goovaerts.pierre.googlepages.com/ > > -- Pierre Goovaerts Chief Scientist at BioMedware Inc. 3526 W Liberty, Suite 100 Ann Arbor, MI 48103 Voice: (734) 913-1098 (ext. 202) Fax: (734) 913-2201 Courtesy Associate Professor, University of Florida Associate Editor, Mathematical Geosciences Geostatistician, Computer Sciences Corporation President, PGeostat LLC 710 Ridgemont Lane Ann Arbor, MI 48103 Voice: (734) 668-9900 Fax: (734) 668-7788 http://goovaerts.pierre.googlepages.com/