Hi everyone, this is my very first post on this mailing-list. I need to produce a map of soil salinity space variability. I have chosen to compare the estimation of OK, Regression Kriging and Indicator Kriging reliability on my data-set. I know that kriging variance depends only on the geometrical configuration of my samples and not on their actual values, but I thought the kriging variance could be used as a measure of the estimation quality. Instead reading Goovaerts (p. 184) I understand that "the kriging standard deviation cannot be used as a direct measure of estimation error". Someone says that simulations would give a better result, but I found an archive post from Pebesma saying that for many simulations the error variance tends to the kriging variance... So, what kriging statistics should I use to assess local estimation precision?
Giovanni PS: I have strong positive skewness in my sample distribution. I'm usign normal score tranformation, so I have to assess precision for backtransformed values. + + 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/
