Interpolate to fill missing values in a temperature Matrix by considering the altitude (stored in a separate matrix)
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Dear all,
I have got a matrix with temperatures (let's call it T), and a matrix with altitudes (let's call it Z). They're both 150x150.
T contains some missing values that I need to fill.
Rather than filling it with a basic linear interpolation, I need to fill it taking into account the altitude (Z).
Could you please suggest a code to fill the missing values in T weighted on Z?
Thanks a lot!
2 Comments
dpb
on 30 Apr 2023
With no more to go on than that, one would presume the location of the two already contains the variations in Z into account by position in the array. It wouldn't seem much else able to do other than interp2 around each missing location; unless, of course, the elevatioins in the other array are not representive of the location they occupy in the array -- in which case it wouldn't seem there would be sufficient data/knowledge available to do anything more, anyway, either.
Answers (1)
Image Analyst
on 3 May 2023
What exactly does "missing" mean to you? You can't have "holes" in the matrix. The values must either be nan, 0, or some other value.
help interp2
5 Comments
Mathieu NOE
on 7 May 2023
hello again
before you do the interpolation with interp1 , you have to make sure that the data (Zrow,Trow) are unique
use unique to remove duplicates
dpb
on 7 May 2023
"...with interp1 , you have to make sure that the data (Zrow,Trow) are unique"
The functional also cannot be double-valued, so if your data follow the terrain up and down, that doesn't work, either.
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