A friend read a statement in an article but she was wondering if it was correct.
Statement:
To calculate a "normal" correlation between two variables, the variables shouldn't be spatially dependent. Meaning variables z1 and z2 don't exhibit any spatial dependence and the variables could be considered random distributed across a sample grid x,y. Only under these conditions the normal correlation coeff. and statistics could be used.
Any input on this?
And what if there is spatial dependence?
I hope it makes a little sense, I didn't have access to the article itself so I had to do it with a simple explanation of my friend.
Best regards,
Koen.
-- * 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