Finding both row and column indexes of nearest value
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Hi experts,
Please, could someone help me to find the 2 indexes, that is, the row and column indexes, corresponding to the nearest longitude and/or latitude? I could figure it out easily in a vector of 1D with find and dsearchn functions, but the problem is I cannot simply transform my matrix into a vector because longitude and latitudes are not constant all along the same row and column.
I have two matrices, one for the longitude, and another for the latitude. Both matrices are 224x164.
I need the row and column indexes of the nearest longitude of 25.983 on the longitude matrix; And idem for the latitude -84.64.
Thank you very much in advance!
Luis
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Image Analyst
2024-4-2
To find the nearest row and column, subtract the reference value from your matrix and then use find. To be super explicit, here are the steps:
m = magic(7)
refValue = 27;
diffMatrix = abs(m - refValue)
minDifferenceValue = min(diffMatrix, [], 'all')
[row, column] = find(diffMatrix == minDifferenceValue)
4 个评论
Image Analyst
2024-4-3
OK. Next time, include your data so we can get you answer(s) right away with your own actual data.
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