Scattered Interpolant in matlab

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SGK
SGK am 14 Feb. 2024
Bearbeitet: Catalytic am 18 Feb. 2024
I have matrices xs,ys,z. All the matrices are stored in a workspace and has size 41x50.
I would like to interpolate and store them in 2D lookup table. is it possible to use spline/cubic method in scatteredinterpolant command?
I used in the code but getting these errors.

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Star Strider
Star Strider am 14 Feb. 2024
The interpolation Method options are 'linear', 'nearest' and 'natural' (natural neighbor interpolation, giving no details that I can find, only an example).
The ExtrapolationMethod options are 'linear' 'nearest' or 'none'.
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SGK
SGK am 18 Feb. 2024
Bearbeitet: SGK am 18 Feb. 2024
out of these methods which can gives a good interpolation results?
I have seen that cubic and spline methods are very reliable since I cant able to use them in scatteredinterpolant what other methods can I use to interpolate these matrices?
Star Strider
Star Strider am 18 Feb. 2024
I always experiment with all of them tto see which gives the best result, and again it depends on what I want to do (interpolate in a region, or draw a line on the surface, for example, because scatteredInterpolant computes lines well).
With respect to extrapolation, I again experiment, although in that instance, usually end up using 'nearest'.

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Catalytic
Catalytic am 18 Feb. 2024
Bearbeitet: Catalytic am 18 Feb. 2024
No. There is no such thing as spline interpolation or extrapolation when you are dealing with scattered data. It is inherently a gridded data thing.
the cyclist
the cyclist am 14 Feb. 2024
Bearbeitet: the cyclist am 14 Feb. 2024
No, according to the documentation for scatteredInterpolant, the available extrapolation methods are 'nearest', 'linear', or 'none'.

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