Hi. I just read through Journel and Rossi's 1999 paper, "When do we need a trend model in Kriging". In the appendix they say "A kriging variance is but a variogram-model dependent ranking of data configurations; being data-value independent, it is generally not a measure of local accuracy...This fact is unfortunately not yet fully appreciated by some practitioners". Can someone explain the implications of this in terms of determining cost-efficiency analysis for sample designs? Specifically, can we use kriging variance estimates across potential sampling grids, (from modeled variograms estimated from say a pilot study) to estimate the variability associated with different sampling densities/configurations. In addition, can someone provide some references that address this topic.

+ To post a message to the list, send it to ai-geostats@jrc.it
+ To unsubscribe, send email to majordomo@ jrc.it with no subject and "unsubscribe 
ai-geostats" in the message body. DO NOT SEND Subscribe/Unsubscribe requests to the 
+ As a general service to list users, please remember to post a summary of any 
useful responses to your questions.
+ Support to the forum can be found at http://www.ai-geostats.org/

Reply via email to