On Tue, 29 Apr 2014, Paul Bidanset wrote:
Hello,
I was just curious - am I safe in assuming that when applying holdout data
(new data points not included in model calibration) to GWR models in the
SPGWR package (as below), each new point is applied to the local regression
model in closest geographic proximity?
No, you are not safe. The #fit.points models fitted are fitted at - hence
the name - the fit points, using the kernel and bandwidths specified. In
this case, the data in the data= argument are geographically weighted in
these #fit.points models, but never fitted themselves.
Please do not use HTML, and do provide an example in which georgiaNewData
is made explicit (is it a subset of gSRDF?).
Hope this clarifies,
Roger
* PredictionsOfNewData <- gwr(PctBach ~ TotPop90 + PctRural + PctEld +
*>>>* PctFB
*>>>* + PctPov + PctBlack, data=gSRDF, adapt=TRUE, gweight=gwr.Gauss, method =
*>>>* "aic", bandwidth=bw1,
*>>>* predictions=TRUE, fit.points=georgiaNewData)
*>>>* PredictionsOfNewData*
Thank you in advance for your assistance.
Best,
Paul
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Roger Bivand
Department of Economics, Norwegian School of Economics,
Helleveien 30, N-5045 Bergen, Norway.
voice: +47 55 95 93 55; fax +47 55 95 91 00
e-mail: roger.biv...@nhh.no
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