Rescale a raster stack to reflect the beta coefficients from a glmnet model

These rescaled rasters can then be used for clustering, and predicting the results of cluster analysis back into space for a final product.

Usage

RescaleRasters(model, predictors, training_data, pred_mat)

Arguments

model

the final output model from glmnet from elasticSDM

predictors

the raster stack to use for the process from elasticSDM

training_data

the same data that went into the glmnet model, this is used for calculating variance which is required for the scaling process. From elasticSDM

pred_mat

the Prediction matrix from elasticSDM

Value

A list with two objects. 1) The rescaled raster stack. 2) A table of both standardized and unstandardized coefficients from the glmnet model.