[Openspace] weights matrix
koschins at uiuc.edu
Thu Sep 29 12:12:42 CDT 2005
The following references provide the technical background for the spatial
regression models implemented in GeoDa:
Smirnov, O. and Anselin, L. (2001). Fast maximum likelihood estimation of
very large spatial autoregressive models: A characteristic polynomial
approach. Computational Statistics and Data Analysis, 35:301-319.
Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer
Academic Publishers, Dordrecht, The Netherlands.
From: openspace-bounces at sal.uiuc.edu [mailto:openspace-bounces at sal.uiuc.edu]
On Behalf Of Subhadip Chattopadhyay
Sent: Thursday, September 29, 2005 12:02 PM
To: openspace at sal.uiuc.edu
Subject: [Openspace] weights matrix
I am new at this but I think that the main objective of the regression
analysis is explaining y in terms of spatial lags.
Y is always perfectly correlated with itself. If you put 1's in the diagonal
that means you are looking for explanation of y by y + something else.
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