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Interpolate scattered data
TriScatteredInterp is used to perform interpolation on a scattered dataset that resides in 2-D or 3-D space. A scattered data set defined by locations X and corresponding values V can be interpolated using a Delaunay triangulation of X. This produces a surface of the form V = F(X). The surface can be evaluated at any query location QX, using QV = F(QX), where QX lies within the convex hull of X. The interpolant F always goes through the data points specified by the sample.
The Delaunay triangulation of a set of points is a triangulation such that the unique circle circumscribed about each triangle contains no other points in the set. The convex hull of a set of points is the smallest convex set containing all points of the original set. These definitions extend naturally to higher dimensions.
| TriScatteredInterp | Interpolate scattered data |
| X | Defines locations of scattered data points in 2-D or 3-D space. | |
| V | Defines value associated with each data point. | |
| Method | Defines method used to interpolate the data . | |
| natural | Natural neighbor interpolation | |
| linear | Linear interpolation (default) | |
| nearest | Nearest neighbor interpolation | |
Value. To learn how this affects your use of the class, see Comparing Handle and Value Classes in the MATLAB Object-Oriented Programming documentation.
Create a data set:
x = rand(100,1)*4-2; y = rand(100,1)*4-2; z = x.*exp(-x.^2-y.^2);
Construct the interpolant:
F = TriScatteredInterp(x,y,z);
Evaluate the interpolant at the locations (qx, qy). The corresponding value at these locations is qz:
ti = -2:.25:2; [qx,qy] = meshgrid(ti,ti); qz = F(qx,qy); mesh(qx,qy,qz); hold on; plot3(x,y,z,'o');

DelaunayTri | interp1 | interp2 | interp3 | meshgrid
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