Isobel wrote: .....The semi-variogram and kriging techniques are not affected by clustering. > In fact, one of the main reasons for inventing kriging > was to make full use of every one of clustered and/or > preferentially sited sampling. > > I am slightly confused: ... if sampling is clustered preferentially in e.g. higher values areas, would this not bias the semi-variogram for the first few lags?...at least if, as it can happen, the variance is related to the mean. What about the effects of the possible over-estimation of the global mean due to clustering?
thanks Alessandro Gimona -- * To post a message to the list, send it to [EMAIL PROTECTED] * As a general service to the users, please remember to post a summary of any useful responses to your questions. * To unsubscribe, send an email to [EMAIL PROTECTED] with no subject and "unsubscribe ai-geostats" followed by "end" on the next line in the message body. DO NOT SEND Subscribe/Unsubscribe requests to the list * Support to the list is provided at http://www.ai-geostats.org