problem with scatteredInterpolant: are there any limits?
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the xyz data file consists out of 3157394 data triples like this:
417826.974 5333045.048 1636.000
417826.974 5333045.128 1682.000
417826.974 5333045.208 1744.000
417826.974 5333045.288 1753.000
417826.974 5333045.368 1674.000
417826.974 5333045.448 1689.000
with the key data:
min(x) = 417740; max(x) = 417870; min(y) = 4177412; max(y)= 5333100; min(z)= 0; max(z) = 11054;
length(x) = length(y) = length(z) = 3157394;
First, everything works fine using:
TT=readtable(FileNameNeu,'PreserveVariableNames',true,'NumHeaderLines',1);
x=table2array(TT(:,1));
y=table2array(TT(:,2));
z=table2array(TT(:,3));
scatter3(x,y,z,4,z,'.'); view(2); grid on; daspect([1 1 1]);
But when I try this:
F = scatteredInterpolant(x,y,z,'natural','none'); :
[X,Y] = meshgrid(min(x):0.5:max(x),min(y):0.5:max(y));
Z = F(X,Y);
then I receive the error:
Error using scatteredInterpolant
The coordinates of the input points must be finite values; Inf and NaN are not
permitted.
Error in FillGaps (line 44)
F = scatteredInterpolant(x,y,z,'natural','none'); % create the interpolant
But...there are no Inf's and NaN's in the data file.
The same occurs if I reduce the values of x and z using:
x=x-min(x); y=y-min(y);
What I am doing wrong? Thanks a lot,
Harry
5 Commenti
John D'Errico
il 13 Nov 2022
It would so much help if you actually provided the data. Shifting the data, and still having a problem tells me the problem is not a numerical problem. However, it is still possible you have something inf or NaN in there, and you do not realize it.
Bruno Luong
il 13 Nov 2022
The data cannot have -Inf or Inf since min and max are finites. However NaN is possible.
Steven Lord
il 14 Nov 2022
Harald von der Osten
il 14 Nov 2022
Harald von der Osten
il 14 Nov 2022
Risposta accettata
Più risposte (1)
Bruno Luong
il 13 Nov 2022
1 voto
You'll have problem anyway since your data is not centered and especially not normalize.
x range is 130 and y range is 1155688, almost 10000 larger than xrange. Scattered interpolation is based on Delauray triangulation, and that alone will give garbage out.
I believe it written somewhere (tip) this warning in the doc page.
So please do CENTERING and NORMALIZATION data as preproceesing step before interpoltion.
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