Dear all, I'm a relatively new with kriging methods using gstat. I am interested in performing an ordinary kriging to interpolate heavy metal concentrations across Europe with 1000 data points. However, I realized that when i performed cross-validation, OK tends to under-estimate my higher values and over-estimate some lower values. Is there anything i can do to correct for this smoothening effect by OK. I was doing a web search and came across a paper 'Compensating for Estimation Smoothing in Kriging' by Ricardo A. Olea and Vera Pawlowsky where they discuss about this smoothening effect. Can anybody tell me how to compensate for this smoothening effect by OK and show the hot-spots on map. Thanks a lot for your time and help. Thanks, Navin
Compensating smoothing effect by ordinary kriging
2 messages · Swagath, Edzer Pebesma
Navin, I believe constrained kriging may do this; I'm Cc:ing its authors, who may not be on the list. http://cran.r-project.org/web/packages/constrainedKriging/
On 12/04/2012 03:33 PM, Swagath wrote:
Dear all, I'm a relatively new with kriging methods using gstat. I am interested in performing an ordinary kriging to interpolate heavy metal concentrations across Europe with 1000 data points. However, I realized that when i performed cross-validation, OK tends to under-estimate my higher values and over-estimate some lower values. Is there anything i can do to correct for this smoothening effect by OK. I was doing a web search and came across a paper 'Compensating for Estimation Smoothing in Kriging' by Ricardo A. Olea and Vera Pawlowsky where they discuss about this smoothening effect. Can anybody tell me how to compensate for this smoothening effect by OK and show the hot-spots on map. Thanks a lot for your time and help. Thanks, Navin
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