Interp2d 2D interpolation from raw data
=Interp2d(Method, Scaling, x0Values, x1Values, fValues, x0Star, x1Star, SubKriging)
Parameters
Method: Interpolation method
- −3 = Natural-neighbors
- 0 = Nearest-neighbor
- 1 to 1.99 = Kriging (1.5 is a good choice)
Scaling: Scaling of parameters
- 0 = If parameters are homogeneous (No Scaling)
- 1 = If parameters are NOT homogeneous (e.g. for black box model)
x0Values: Function first parameter values
x1Values: Function second parameter values
fValues: Function values
x0Star: First parameter value(s) to interpolate
x1Star: Second parameter value(s) to interpolate
SubKriging: [Optional for Kriging i.e. if 1 ≤ Method ≤ 1.99]
- If positive = Number of nearest points to select (3 ≤ SubKriging ≤ 1024, SubKriging = 256 is a good choice)
- If negative = −Distance for selection of nearest points (SubKriging < 0)
If the SubKriging parameter is missing, all points will be used for Kriging interpolation.
If Scaling = 1, the distance for selection of nearest points is calculated in the normalised space (see main page for details).