Please read p 74, "Kriging data with known measurement errors", of http://gstat.org/gstat.pdf . It refers to a method published by Delhomme (1978). The software was written long before the Christensen paper you mention, to which I don't have access.
On 11/6/18 3:55 PM, Antonis Alexiadis wrote: > Hello, my question is how can I implement known varying measurement error > in my > Kriging predictions? > > I have two separate datasets: the first one is a 2-D dataset that includes > the observations and > the second is the a 2-D dataset that includes the measurement error in each > specific location. > The measurement error dataset follows a structure, it's not random (which > can be characterized via the use of the experimental variogram). > > I have searched a lot online on how to incorporate the measurement > uncertainty in > Kriging predictions but it seems to still be an open question in the forums > (a paper solving this issue has been developed by William F. Christensen > titled as: Filtered Kriging for Spatial Data with Heterogeneous Measurement > Error Variances). I have tried to use gstat and incorporate the variances > using the weights functionality but after I do the kriging and visualize > the predicted variance field, even though it qualitatively resembles the > defined one, the values of the variances are magnitudes lower than the ones > proposed. > > Does anyone have an idea on how to solve it, or aware of some > software-package that > has already implemented this functionality? (It's quite tough to understand > the stated paper already, rather having to program > its contents) . > > > Thank you. > > Regards, > Antonios. > > [[alternative HTML version deleted]] > > _______________________________________________ > R-sig-Geo mailing list > R-sig-Geo@r-project.org > https://stat.ethz.ch/mailman/listinfo/r-sig-geo > -- Edzer Pebesma Institute for Geoinformatics Heisenbergstrasse 2, 48151 Muenster, Germany Phone: +49 251 8333081
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