Hi Simone, Your definition is historically the correct one.. Note that the term "kriging analysis", sloppy translation for the term "analyse krigeante" introduced in Matheron's 1992 seminal paper, could also be used.
The use of the term "factorial kriging" for the decomposition of a RF into spatial components based on a nested semivariogram model can be traced back to Gslib user manual. To be consistent, I used the same term in my book and used the expression "multivariate factorial kriging" when dealing with more than one variable (e.g. regionalized PCA). I think that both expressions are acceptable, albeit confusing. The use of the term "factorial" does not systematically imply a multivariate analysis and a factor does not need to be a linear combination of variables. Hope it helps, Pierre Pierre Goovaerts Chief Scientist at BioMedware 516 North State Street Ann Arbor, MI 48104 Voice: (734) 913-1098 (ext. 8) Fax: (734) 913-2201 http://home.comcast.net/~goovaerts/ -----Original Message----- From: Simone Sammartino [mailto:[EMAIL PROTECTED] Sent: Wed 1/18/2006 9:12 AM To: Geostat newsgroup Cc: Subject: [ai-geostats] FK and K of spat. comp. Dear All a term specification: What is the difference between "Factorial Kriging" and "Kriging of spatial components". I've always believed that the first is the kriging of the factors deriving from the regionalized PCA of multivariate datasets, and the second is the discrimination of the different spatial components deriving from the evaluation of nested variograms. But I can still read in most of scientific articles, about factorial kriging as the estimation procedure related to nested variograms...and it should be not exactly correct! Do I wrong? Thank you Simone ----------------------------- Dr. Simone Sammartino PhD student - Geostatistical analyst - G.I.S. mapping I.A.M.C. - C.N.R. Geomare-Sud section Port of Naples - Naples [EMAIL PROTECTED] -----------------------------
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