Fantastic. Thank you so much.
On Wed, Sep 4, 2013 at 5:08 AM, Roger Bivand wrote:
> On Tue, 3 Sep 2013, Paul Bidanset wrote:
>
> Thank you very much for the example and the clarification. My hold out
>> test
>> is random. The vector provided by gw.adapt() allows me to see the
>> bandwidth
>> s
On Tue, 3 Sep 2013, Paul Bidanset wrote:
Thank you very much for the example and the clarification. My hold out test
is random. The vector provided by gw.adapt() allows me to see the bandwidth
size for each point. Is there a way to see each regression point's
bandwidth size with the correct form
Thank you very much for the example and the clarification. My hold out test
is random. The vector provided by gw.adapt() allows me to see the bandwidth
size for each point. Is there a way to see each regression point's
bandwidth size with the correct format you just showed me?
On Tue, Sep 3, 2013
yOn Fri, 30 Aug 2013, Roger Bivand wrote:
On Fri, 30 Aug 2013, Paul Bidanset wrote:
Thank you. I'd like to subset into a specific county. Should there be
further partitioning from that level?
No idea. Please re-create your scenario by subsetting georgia and the
coordinates to suit.
lib
On Fri, 30 Aug 2013, Paul Bidanset wrote:
Thank you. I'd like to subset into a specific county. Should there be
further partitioning from that level?
No idea. Please re-create your scenario by subsetting georgia and the
coordinates to suit.
Roger
On Fri, Aug 30, 2013 at 10:19 AM, Roger
Thank you. I'd like to subset into a specific county. Should there be
further partitioning from that level?
On Fri, Aug 30, 2013 at 10:19 AM, Roger Bivand wrote:
> On Fri, 30 Aug 2013, Paul Bidanset wrote:
>
> Alrighty then!
>>
>
> Thanks. Now make this your case by subsetting georgia in a way
On Fri, 30 Aug 2013, Paul Bidanset wrote:
Alrighty then!
Thanks. Now make this your case by subsetting georgia in a way that
matches your case (all counties west of x?, random set?), and we may be
getting closer. In the geographical partition, the fit points are all a
long way from the data
Alrighty then!
Say I create this adaptive bandwidth model using the original dataset
"georgia"
coords = cbind(georgia$x, georgia$y)
bwsel <- gwr.sel(PctBach ~ TotPop90 + PctRural + PctEld + PctFB + PctPov +
PctBlack, data=georgia, adapt=TRUE, coords, gweight=gwr.Gauss, method =
"aic" )
bw1 <- gw.
Provide a reproducible code example of your problem using a built in data
set. No reproducible example, no response, as I cannot guess (and likely
nobody else can either) what your specific misunderstanding is. Code using
for example the Georgia data set in the package. You seem to be assuming
Roger,
I think all I would like to know is if it is possible to apply a calibrated
GWR model to a hold-out sample, and if so, what the most accurate way to do
so is. I understand the pitfalls of GWR but would like to learn as much as
I can before progressing to the next spatial methodology I learn
Paul, Luis,
I suspect that your speculations are completely wrong-headed. Please
provide a reproducible example with a built-in data set, so that there is
at least minimal clarity in what you are guessing. Note in addition that
GWR as a technique should not be used for anything other than expl
> Thank you Luis. When calibrating the adaptive model, using adapt=t in the
> bandwidth selection created the proportion you speak of, which then allowed
> me to create a bandwidth matrix using gwr.adapt. However, this has not
> worked for me with holdout samples. Have you had success in this regar
Thank you Luis. When calibrating the adaptive model, using adapt=t in the
bandwidth selection created the proportion you speak of, which then allowed
me to create a bandwidth matrix using gwr.adapt. However, this has not
worked for me with holdout samples. Have you had success in this regard?
I do
Dear Paul,
I am dealing with this kind of problems right now, and if I am not wrong,
when you want to apply an adaptative bandwidth, you should introduce a
value for the "adapt" parameter instead of for the "bandwidth" parameter.
This value will be between 0 and 1 and indicates the proportion of c
Hi Folks,
I was curious if anyone has had experience applying an SPGWR model with an
adaptive bandwidth matrix to a holdout or validation sample. I am using the
"fit.points" command, which does not seem to allow for a new bandwidth
calibrated around the holdout samples XY coordinates. Any directio
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