How can I find nearest value in large grid data?
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I have a grid having cells 100x60, containing contours data. Some of the cells have filled with whole number from 1 to 15 showing the elevation of contours, now how can I interpolate points between the contours line to fill all empty cells?
Note: Points are not in regular way, these scattered points
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Answers (2)
Walter Roberson
on 13 Jul 2016
See John D'Errico's File Exchange contribution "inpaint_nan"
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Chad Greene
on 14 Jul 2016
If you download inpaint_nans, it makes the problem pretty easy. For example, say you have some gridded dataset like this:
Z = peaks(100);
but a few points are NaNs:
Z([423 898 1234] = NaN;
You can fill in the missing values like this:
Z_filled = inpaint_nans(Z);
Image Analyst
on 13 Jul 2016
How about scatteredInterpolant()?
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Image Analyst
on 13 Jul 2016
I need to leave now, but my first attempt would be to use scatteredInterpolant, like I already suggested. But I'm sure you've tried that by now, so let's see your code - it may speed me up when I return later today. If you didn't try my suggestion, then why not?
Walter Roberson
on 13 Jul 2016
YourData(YourData == 0) = nan;
Now call the File Exchange contribution inpaint_nan on YourData.
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