[x,y,z] = ndgrid (-10:10); Sample a function, v (x,y,z), at the . scatteredInterpolant Use F.Values = v to initialize F with the values in v. Input Arguments Properties Definitions Interpolant Interpolating function that you can evaluate at query locations. This produces a surface of the form V = F (X). Because the answer is not how to modify the plot AFTER you used scatteredInterpolant, but how to use the tool properly (or the proper tool) to produce a better result. scatteredInterpolant () is wrong as an alternative for 2 reasons. Just pretend it is a spectrum for something. scatteredInterpolant returns the interpolant F for the given data set. scatteredInterpolant returns the interpolant F for the given data set. Extrapolating Scattered Data - MATLAB & Simulink - MathWorks You can evaluate F at a set of query points, such as (xq,yq) in 2-D, to produce interpolated values vq = F (xq,yq). Use scatteredInterpolant to perform interpolation on a 2-D or 3-D Scattered Data set. Spline vs Linear Interpolation The points in each dimension are in the range, [-10, 10]. You can evaluate F at a set of query points, such as (xq,yq) in 2-D, to produce interpolated values vq = F (xq,yq). This computes an interpolating function for the observed points, allowing you to query the function anywhere within its convex hull. scatteredInterpolant is not supported at all for code generation (at least in my MATLAB version, might be improved in recent Versions). Data Scaling for Scattered Interpolation - Loren on the Art of MATLAB The calling syntax is similar to griddata. Recently Added - in.mathworks.com Next, you use scatteredInterpolant to create an interpolant for the data. Create a 10-by-10-by-10 grid of sample points. MATLAB software also provides griddatan to support interpolation in higher dimensions. We would like to show you a description here but the site won't allow us. Create a 10-by-10-by-10 grid of sample points. scatteredInterpolant class Spline vs Linear Interpolation. Spline vs Linear Interpolation We also interpolate between multiple solutions, which leads to even higher dimensional interpolation (like adding time, so x,y,z,t,v). Description. I had written this during my trial version of Matlab using help from the internet as Matlab is very new to me.