Displaying 2 results from an estimated 2 matches for "fotheringham".
2007 Sep 24
1
GWR modeling with dummy variables
...working with a modest sized spatial database consisting of 1513 records
and 50 variables. Fourteen of these are dummy variables delineating
regional planning councils. I'm trying to understand how to integrate the
dummy variables in the geographically weight regression model. I'm reading
Fotheringham et.al. and see reference to using dummy variables, but I don't
see an example ilustrating the procedure. I also don't see an example in
the spgwr.pdf files associated with the package.
If anyone has experience with this I'd certainly like to hear from you.
I'm using R-2.5.1 on a...
2011 May 26
0
'constrained' negative.binomial model estimates
...39.5
9 9 2143172 2143172 2143172 2139171.5
Can anyone tell me how I might go about doing this for the
negative.binomial model? Or perhaps better still, an alternative way
of enforcing this 'constraint'?
The following dataset is what I used for the above example (this data
comes from Fotheringham and O?Kelly, 1989. Spatial interaction models:
Formulations and applications. Dordrecht: Kluwer Academic Publishers):
> dput(migration)
structure(list(flows = c(283049L, 87267L, 29877L, 130830L, 21434L,
30287L, 21450L, 72114L, 180048L, 237229L, 60681L, 382565L, 53772L,
64645L, 43749L, 133122L,...