<div dir="ltr">Dear Colleagues,<div><br><div>as we work on such topics ourselves,</div><div>let me point out please that those 'sophisticated methods' of interpolation etc</div><div>have 100% nothing to do with climate, or temperature, and such units,</div><div>and likely are very misleading for outcome.</div><div><br></div><div>One may call it 'data smearing' but not more.</div><div><br></div><div>(Scientifically,</div><div>if we see it, we usually reject it in full;</div><div>student failed and publication rejected.</div><div>No kidding. Lots of literature on what I state here;</div><div>krigging being among the worse).</div><div><br></div><div>So I propose not to fall into that trap.</div><div><br></div><div>"It can be done" (Ronald Reagan)</div><div>Reply: " Yeah, technically, but if it's crap, no need to".</div><div>Coder's delight.</div><div><br></div><div>Very best</div><div> Falk Huettmann PhD, Professor</div><div> Uni of Alaska Fairbanks</div><div><br></div></div><div>PS I am sorry to raise those issues sometimes,</div><div>but it matters for context and best performance</div><div>and tools + relevant progress.</div><div>Follow up as needed please.</div><div><br></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Tue, Sep 17, 2019 at 2:39 AM DelazJ <<a href="mailto:delazj@gmail.com">delazj@gmail.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><div dir="ltr"><div>Hi,</div><div>Tracking information from the Help button in the algorithm dialog led me to <a href="https://gdal.org/tutorials/gdal_grid_tut.html#inverse-distance-to-a-power" target="_blank">https://gdal.org/tutorials/gdal_grid_tut.html#inverse-distance-to-a-power</a></div><div><br></div><div>Hope that helps,</div><div>Harrissou<br></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">Le mar. 17 sept. 2019 à 12:00, Daniel Zepeda Rivas <<a href="mailto:daniel.zepeda@udc.es" target="_blank">daniel.zepeda@udc.es</a>> a écrit :<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">
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When using the Raster -> Analysis -> Grid (Inverse Distance to a Power)</p>
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At the menu just before pressing run, can somebody please explain me the effect of the "Weighting power" option in the interpolation process?</p>
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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</p>
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