Normalize Model Data

Normalize model data across the entire provided timeseries using a z-score

Usage

normalize_model_data(raw_list, avg_list, sd_list, short_names)

Arguments

raw_list

List of output rasters from pull_hind or pull_forecast. Alternatively, a list of rasters containing gridded data to be normalized, with each entry in the list containing a rasterStack of a timeseries of environmental data to be normalized.

avg_list, sd_list

List of output rasters from avg_model_data and sd_env, respectively. Alternatively, averages and standard deviations of desired gridded datasets. Should be a list of rasterStacks, with each entry in the list containing the rasterStack for a different variable.

short_names

vector of simplified variable names to help name resulting raster files.

Value

a list whose length is equal to the length of raw_list, where each item in the list is a rasterStack of normalized data associated with that variable