AI-GEOSTATS: kriging variance and accuracy

[Kerry Ritter]

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.

Thanks,
Kerry
+
+ 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 
list
+ 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/