Hi, It just represents half the average squared difference between the values of the two variables measured at the same location.. I don't know why you compute the pseudo cross-variogram but, personally, I don't like this statistic, mainly because of the lack of interpretation... for example, it cannot take negative values, hence you can't differentiate between positive and negative correlations. It is useful mainly when the two variables have not been measured at the same locations. Pierre Pierre Goovaerts Chief Scientist at BioMedware Inc. Courtesy Associate Professor, University of Florida President of PGeostat LLC Office address: 516 North State Street Ann Arbor, MI 48104 Voice: (734) 913-1098 (ext. 8) Fax: (734) 913-2201 http://home.comcast.net/~goovaerts/
________________________________ From: [EMAIL PROTECTED] on behalf of Peijun Li Sent: Wed 9/20/2006 12:35 PM To: [email protected] Subject: AI-GEOSTATS: pseudo cross variogram: h=0 Dear List, I recently use the pseudo cross variogram (PCV) for remote sensing applications. However, I don't know what does the PCV reflect when lag h=0? As we know, when lag h=0, the (univariate) variogram reflects the nugget effect. Is there any similar meaning for PCV? Could you give me some references related to PCV? Thanks in advance for reply. Peijun Li Peking University + + To post a message to the list, send it to [email protected] + 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/
