[Qgis-user] Ordinary Kriging in QGIS

[Falk Huettmann]

Hi all,

Just now it comes to my attention (sorry):

last years I went to a statistical session where the ESRI coders of the
krigging module
talked about 'issues' of the implementation there, and it was beyond scary
for me
(=>assumptions, merging outputs, edge issues etc. Krigging as such is
pretty sensitive to
underlying assumptions and data).

So my question is:
what is the science-basis for krigging in QGIS ?

Or asked other way round:
how can it be assured that the krigged results are meaningful and correct ?

If there is none of such metrics to assure it, then it's just another of
the many
shiny tools and 'homebrews' (not peer-reviewed and QA'ed really) out there
that mis-inform.

Like well-shown with home range analysis, kernels, random number
generators, optimizations and many predictions and model
selection tools, one may then ignore those outputs for a serious analysis.

The initial idea of open source was arguably that those things can be
tested, and improved, yes ?

I am open to hear feedback, examples and ideas for a betterment.

Thanks so much; kind regards
     Falk Huettmann



On Wed, Jun 27, 2018 at 11:39 PM, PARESH CHAUKHANDE <
paresh.chaukhande at gmail.com> wrote:

> Hello,
>   I am using QGIS v3.0.3 on macOSX(High Sierra).
>   I want to do ordinary kriging in QGIS.
>   I have 13 data points representing a state of yield attributes of
> agricultural crops. I am also having .shp files of states. I am doing
> following steps:
>   Processing> Toolbox> SAGA> Ordinary Kriging. The process runs OK and
> two new layers are created called Quality Measure and Prediction, but both
> these layers are invisible or show no information.
>   Kindly help me on these issues.
>   Thank you.
>
>
> Sincerely yours,
>
> PARESH CHAUKHANDE
>
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