Interpolation outside boundaries.
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WILLIAM ZANIN
am 22 Sep. 2020
Kommentiert: Ameer Hamza
am 22 Sep. 2020
Hi guys,
I'm training myself in data interpolation for a project. With an example set of datas (6 points) I'm able to interpolate data using griddata as you can see in the code below. The question is : is possible to interpolate the surface also in [x,y] that are over x_max and y_max of my points?
As you can see, overall x_max and y_max in my data set is 20, but I created a grid that arrives till 30. Nevertheless the interpolation gives only values under x=20 and y=20.
Thank you.
P = [0 0 0;
20 0 5;
0 20 5 ;
5 5 2;
10 10 10 ;
20 20 10] ;
x = P(:,1) ; y = P(:,2) ; z = P(:,3) ;
ti = 0:1:30;
[XI,YI] = meshgrid(ti,ti);
ZI = (griddata(x,y,z,XI,YI,'cubic'));
surf(XI,YI,ZI), hold
plot3(x,y,z,'ro'), hold off
colorbar
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Ameer Hamza
am 22 Sep. 2020
griddata() does not have the option for extrapolation beyond the data-points. You can use scatteredInterpolant for this; however, it does not have a cubic interpolation option, and the extrapolation is also linear.
P = [0 0 0;
20 0 5;
0 20 5 ;
5 5 2;
10 10 10 ;
20 20 10] ;
x = P(:,1) ; y = P(:,2) ; z = P(:,3) ;
ti = 0:1:30;
[XI, YI] = meshgrid(ti,ti);
model = scatteredInterpolant(x, y, z, 'linear', 'linear');
ZI = model(XI, YI);
surf(XI,YI,ZI), hold
plot3(x,y,z,'ro'), hold off
colorbar
The best way to handle such cases is to have an equation of form z = f(x, y) and then use curve-fitting to estimate the unknown parameter in f(.). Then you can use f(.) to extrapolate the values.
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