## Inverse distance weight function

version 1.1.0.0 (1.96 KB) by
Inverse distance weight function to interpolate values based on the sampled points

Updated 21 Nov 2016

Inverse distance weight function to interpolate values based on
sampled points.

Fint = idw(X0,F0,Xint) uses input coordinates X0 and input values F0
where X0 is a N by M input matrix of N samples and M number of variables.
F0 is vector of N responses. Xint is a Q by M matrix of coordinates to be
interpolated. Fint is the vector of Q interpolated values.

Fint = idw(X0,F0,Xint,p,rad) uses the power p (default p = 2) and radius

Fint = idw(X0,F0,Xint,p,rad,L) uses L-distance. By defaults L=2
(Euclidean norm).

Example:

X1 = [800;2250;3250;2250;900;500];
X2 = [3700;4200;5000;5700;5100;4900];
F = [13.84;12.15;12.87;12.68;14.41;14.59];
Q = 100;
[X1int,X2int] = meshgrid(0:4000/(Q-1):4000, 3200:(5700-3200)/(Q-1):5700);
Fint = idw([X1,X2],F,[X1int(:),X2int(:)]);
contourf(X1int, X2int, reshape(Fint,Q,Q), 20)

Contact info:

Andres Tovar
tovara@iupui.edu
Indiana University-Purdue University Indianapolis

Code developed for the course Design of Complex Mechanical Systems (ME
597) offered for the first time in Spring 2014

### Cite As

Andres Tovar (2021). Inverse distance weight function (https://www.mathworks.com/matlabcentral/fileexchange/46350-inverse-distance-weight-function), MATLAB Central File Exchange. Retrieved .

##### MATLAB Release Compatibility
Created with R2014a
Compatible with any release
##### Platform Compatibility
Windows macOS Linux