Dear Colleagues,
as we work on such topics ourselves,
let me point out please that those 'sophisticated methods' of interpolation
etc
have 100% nothing to do with climate, or temperature, and such units,
and likely are very misleading for outcome.
One may call it 'data smearing' but not more.
(Scientifically,
if we see it, we usually reject it in full;
student failed and publication rejected.
No kidding. Lots of literature on what I state here;
krigging being among the worse).
So I propose not to fall into that trap.
"It can be done" (Ronald Reagan)
Reply: " Yeah, technically, but if it's crap, no need to".
Coder's delight.
Very best
Falk Huettmann PhD, Professor
Uni of Alaska Fairbanks
PS I am sorry to raise those issues sometimes,
but it matters for context and best performance
and tools + relevant progress.
Follow up as needed please.
On Tue, Sep 17, 2019 at 2:39 AM DelazJ <del...@gmail.com> wrote:
> Hi,
> Tracking information from the Help button in the algorithm dialog led me
> to
> https://gdal.org/tutorials/gdal_grid_tut.html#inverse-distance-to-a-power
>
> Hope that helps,
> Harrissou
>
> Le mar. 17 sept. 2019 à 12:00, Daniel Zepeda Rivas <daniel.zep...@udc.es>
> a écrit :
>
>> When using the Raster -> Analysis -> Grid (Inverse Distance to a Power)
>>
>> At the menu just before pressing run, can somebody please explain me the
>> effect of the "Weighting power" option in the interpolation process?
>>
>> I'm trying to make a temperature map based on points representing each
>> weather station, containing the yearly averages values of temperature, and
>> when moving the number from the 2 (set it by default) to 4, 6 or 10, the
>> map changes significantly
>>
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