My question relates to change of support from a point estimate to a block estimate using the affice or log normal corrections. I understand both these methods require the calculation of variance adjustment factor 'f' that is derived from the dispersion variance of points within a block and the data variance. Specifically 'f' is the ratio of the block variance (data variance - the point within block variance) to the point variance (of the data).
No the question I have is how does 'f' value accommodate the fact that a point estimate from kriging has a lower variance than the data (from which 'f' is calculated) ? Should I compute 'f' then scale it somehow to account for the variance reduction in the point estimates to the data variance ?
Thanks in advance
Joe
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