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I wonder whether I am simply showing off my ignorance by making the
I am trying to assess the relative importance of different spatial
coordinates and various base functions in a spatial process. Using OLS
regression, the standard errors for beta coefficients are unreliable due to
spatial autocorrelation, and generalised least squares must be used instead
(i.e specifying "method: trend;" in the gstat command file). Now, my
question is this: Is it possible to obtain the beta parameters (and their
standard errors) for each coordinate/base function separately using GLS in
GSTAT? Or is this simply made impossible by the fact that a covariance
function is being specified? I'd also like to know whether it is possible to
obtain the coefficient of determination (R-square), though I presume this
can be obtained by regressing the predicted values on the sample data using
an ordinary regression program.
Finally, I'd be interested to know whether anyone has experience using path
analysis (i.e. structural equation modelling) (e.g. LISREL, SIMPLIS, SEPATH)
for spatial analysis.
Any advice would be most appreciated.
- Re: GLS
- From: "Edzer J. Pebesma" <email@example.com>