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?
* PredictionsOfNewData -
Fantastic. Thank you so much.
On Wed, Sep 4, 2013 at 5:08 AM, Roger Bivand roger.biv...@nhh.no 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
, 2013 at 3:54 PM, Roger Bivand roger.biv...@nhh.no wrote:
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
mean, you have to obtain new local models
(one for each point to be fitted), so I do not understand whether the
data parameter is used somehow...
Best regards,
Luis
On Fri, Aug 30, 2013 at 1:26 AM, Paul Bidanset pbidan...@gmail.com
wrote:
Hi Folks,
I was curious if anyone has had
, so you have
to show what you mean in code.
Roger
On Fri, 30 Aug 2013, Paul Bidanset wrote:
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
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 roger.biv...@nhh.no wrote:
On Fri, 30 Aug 2013, Paul Bidanset wrote:
Alrighty then!
Thanks. Now make this your case by subsetting
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 direction
parameter to the data to be fitted (introduced in
the fit.points parameter)? I mean, you have to obtain new local models
(one for each point to be fitted), so I do not understand whether the
data parameter is used somehow...
Best regards,
Luis
On Fri, Aug 30, 2013 at 1:26 AM, Paul Bidanset
Hello all,
I am doing some exploratory analysis with adaptive and fixed kernels in the
SPGWR package. I am hoping to glean further insight from someone who has a
better understanding of the gw.adapt(dp, fp, quant, longlat=FALSE) command.
I understand 'quant' is proportion of data points to
