Strange spatial interpolation results from ordinary kriging

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I'm using Ordinary Kriging to interpolate a set of spatial data. I'm working on different sets which represent different days of measurement. I get good results, apart from one specific set. Will post some examples:

  • Good interpolation
  • Good interpolation
  • Strange interpolation:

What might be causing this behaviour? Why is it going light-blue on almost all the map, without spatially expanding lows and highs (which are pretty clustered!)?What parameters should I fix, or what could be the dataset error behind?

I see a pretty evident pattern, in that values tend to get high in the top-right corner, but it is not reflected by the interpolating surface.

Thoughts:

There could be some bug in my code, but as said, it goes well for all other sets except this one. I've tried applying different variograms but the results is still silly. On the other hand, other algorithms (e.g. inverse distance) do not show any issue.

Other info:

I'm using R, but could switch to GIS if needed. For R folks, I'm just calling:

kriging
 
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