[R-sig-Geo] Parallelization of LMZ.F3GWR.test in spgwr package

[Roger Bivand]

On Mon, 14 Jan 2019, Erin Hodgess wrote:

> Would there actually be any interest in making GWR parallel, please?  I
> enjoy messing with parallel stuff, but don’t want to spend time if it is
> not productive.

spgwr::gwr() takes a cl= argument to pass a parallel object into the 
function, but this only saves time if the fit.points are given as an 
argument, and where # fit points is >> # data points.

Not checked for many years, used in: http://hdl.handle.net/11250/163254 
with no obvious easy advantage. Maybe worth revisiting?

Roger


>
> Thanks for listening!
> Sincerely,
> Erin
>
> On Sat, Jan 12, 2019 at 1:56 PM Rolf Turner <r.turner using auckland.ac.nz> wrote:
>
>>
>>
>> On 1/13/19 1:06 AM, Roger Bivand wrote:
>>
>>> ... GWR is very demanding for computation. It should only ever be used
>>> for exploring model mis-specification, never for inference or prediction.
>>> So making a bad test on a bad method run faster should not be a priority.
>>
>> Fortune nomination!
>>
>> cheers,
>>
>> Rolf
>>
>> --
>> Honorary Research Fellow
>> Department of Statistics
>> University of Auckland
>> Phone: +64-9-373-7599 ext. 88276
>>
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-- 
Roger Bivand
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