Jörg Don't confuse indicator variables with classical correlation coefficients.
The maximum possible on your semi-variogram will be where all differences are 1. That is every pair is (1-0). And, of course, divided by 2. So the absolute maximum an indicator semi-variogram can show is 0.5. Computationally then, if 90% of your data are 1s and 10% are zeroes, the semi-variogram can still (theoretically) reach 0.5 if the 90% are all clustered and the 10% are, say, peripheral. Isobel http://uk.geocities.com/drisobelclark ________________________________________________________________________ Want to chat instantly with your online friends? Get the FREE Yahoo! Messenger http://uk.messenger.yahoo.com/ -- * 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
