Marta You can use the Cressie goodness of fit statistic to assess relative merits of various models.
You should also look at the cross validation statistics to see which gives you closest to the ideal behaviour and best correlation between estimated and actual values. Better estimates (in the real sense) are achieved with models in which the nugget effect/sill ratio is a minimum and where the range of influence is longest (in that order of priority). The total sill is virtually irrelevant in determining your kriging weights and only affects the kriging variance as a constant factor. Unless, of course, you are doing lognormal kriging where the total sill is vital to the back transform. Isobel Clark http://uk.geocities.com/drisobelclark __________________________________________________ Do You Yahoo!? Everything you'll ever need on one web page from News and Sport to Email and Music Charts http://uk.my.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
