Interpolation of 3D surface
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I have a data set in 3D, say x, y and z. I need to use these data points and fit/interpolate a 3D surface, I have used griddata, triscatteredinterp and interp2 but no method seems to work (as I would like). When I plot the data points and the constructed surface they don't fit, the data points seems to be ignored.
Is there another, a better way to do this? Please, let me know if you need more information or the data set.
Thanks in advance, Catarina
John D'Errico on 8 Apr 2011
Often this is really a problem of misuse. Those tools are designed for direct functional relationships, which could in theory be written as z = f(x,y), but where the function f is unknown. However, usually when I see this type of comment, that the interpolant failed to work, the person was trying to represent some multi-valued surface as a function. Thus, you cannot fit the surface of a sphere as a function, f(x,y).
At other times, the user tries to fit a surface to data that does not support a full surface. For example can you fit a surface to the data
x = 1:10; y = x; y = x + y;
NO!!!!!!!! This data lives on a line. It is insufficient to define a complete surface.
Next, if the data REALLY does represent a valid surface to be modeled, then the problem may be an issue of a surface that a triangulation deals poorly with. Perhaps the data represents a non-convex domain, or the user wants to extrapolate, or any of a variety of problems.
In order to know what is your problem, we need to see the data, to see what you tried. We cannot know what you would like without more help from you.
Swathi Chandrasekar on 17 May 2017
I may have had a similar problem.If x,y and z are arrays then plot them using plot3 to see what they look like.If it looks like they lie on a surface then interpolate using fit function.