Inverse Distance Weight

Inverse distance weighting (IDW) multivariate interpolation.
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Mise à jour 24 fév. 2012

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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.

Citation pour cette source

Simone Fatichi (2024). Inverse Distance Weight (, MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2007b
Compatible avec toutes les versions
Plateformes compatibles
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Version Publié le Notes de version

A bug in the fixed radius option has been fixed. The number of neighbours option was always correct. Note that the code requires that the coordinates of the known points must not overlap with the coordinates of the unknown points.

Changes in the code comments