How to adapt interpolated 3D surfaces to the boundary of 2D data ?

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Rosanna 2017-8-24

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评论： Rosanna 2017-8-25

The MatLab FIT function sf=fit([x y],z); plot(sf,[x y],z) is very useful for estimating 3D surfaces. However, in the case of sparse data and polynomial fitting, It generates interpolates that are unsuitable outside the 2D data boundary. My question is "how to trim (cut) the parts of surface that are outside the 2D boundary". Here, an example of unsuitable border fitting ...

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Answer 1

KSSV 2017-8-24

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https://ww2.mathworks.cn/matlabcentral/answers/353868-how-to-adapt-interpolated-3d-surfaces-to-the-boundary-of-2d-data#answer_279068

doc griddata , scatteredinterpolant

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Rosanna 2017-8-24

I would like solve the problem with the output of the FIT function (which has much more estimation options). I also tried to use k=boundary(x,y) and plot(sf(k),[x(k) y(k)],z(k)) ... but It does not work

Rosanna 2017-8-25

Apart from the fact that "scatteredInterpolant" does not perform surface trimming outside of the data boundary ... rather, its older version "TriScatterInterp" (which will be dismissed by Matlab) does perform trimming ... hence, Why worsening this function?

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