We are using multiple raster layers to produce a predictive classification of the landscape. Statistical modelling indicates that some of the layers we are using for the classification are more sensitive predictors than others for the environmental variables we are hoping to predict.

Does anyone know of an option, plugin, method, that enables the used to weight the significance given to a raster during K-means or equivalent classification?

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