Inverse Distance Weight

Inverse distance weighting (IDW) multivariate interpolation.

Description

The code performs an Inverse distance weighting (IDW) multivariate interpolation, i.e. a process of assigning values to unknown points by using values from usually scattered set of known points.
The code requires vectors of coordinates and variable values of known points (xc,yc,vc) and calculated the variable values by means of Inverse distance weighting (IDW) multivariate interpolation for a vector or matrix (Vint) of unknown points described by coordinates (x,y). The code allows to vary the distance weight (e) and to consider a certain number of neighbors through fixed radius or number of neighbours methods.

• Acknowledgements: This submission has inspired the following:; Inverse Distance Weighted (IDW) or Simple Moving Average (SMA) INTERPOLATION
• MATLAB release: MATLAB 7.5 (R2007b)

[liu]

 

[Michel]

Bug 1:
D=D(D<r2); vcc=vc(D<r2);
should be
vcc=vc(D<r2);D=D(D<r2);

Bug 2:
Division by zero when a component in D is zero, and e is negative.

[Liyin]

Are you sure about the code have bugs?