Dear all about Irf-k... I can't understand the link between the two approach explaining the Irf-k theory... 1st approach: The Irf-k approach is based on a generalization of the intrinsic model, in which the coefficients of the combination of the variables in the X points are such that the combination of monomials of the variables (computed with such coefficients) is zero mean and second order stationary. In the intrinsic model the coefficients are 1 and -1 and the linear combination of the variables with such coefficients (the increment) is second order stationary. Now...how to insert the generalized covariance in this speech?... 2nd approach: The non stationary random function is seen as the sum of a trend and a residual (as in UK?!)...such trend is the linear combination of monomials of the variables (as in UK?!) with the said coefficients. And the generalized covariance? Reassuming...I did not understand the Irf-K theory... Someone can explain it to me? or suggest some clear refer? 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] ----------------------------- ____________________________________________________________ 6X velocizzare la tua navigazione a 56k? 6X Web Accelerator di Libero! Scaricalo su INTERNET GRATIS 6X http://www.libero.it
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