How can I find nearest value in large grid data?

2 vues (au cours des 30 derniers jours)
Zubair Nizamani
Zubair Nizamani le 13 Juil 2016
Commenté : Chad Greene le 14 Juil 2016
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

Réponses (2)

Walter Roberson
Walter Roberson le 13 Juil 2016
See John D'Errico's File Exchange contribution "inpaint_nan"
  2 commentaires
Zubair Nizamani
Zubair Nizamani le 13 Juil 2016
Dear Roberson thank you for your response and guideline. The function you have mentioned above is right now harder for me to understand because I am getting started with MATlab, So can you direct me any simplest way possible?
Chad Greene
Chad Greene le 14 Juil 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);

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Image Analyst
Image Analyst le 13 Juil 2016
How about scatteredInterpolant()?
  5 commentaires
Image Analyst
Image Analyst le 13 Juil 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
Walter Roberson le 13 Juil 2016
YourData(YourData == 0) = nan;
Now call the File Exchange contribution inpaint_nan on YourData.

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