Learn z-standardization for environmental predictors

Computes the centering and scaling constants (mean and standard deviation) of every numeric environmental predictor in env (all columns except the keys siteID and year), so they can be re-applied unchanged to new data at prediction time. A predictor with (near-)zero standard deviation is given scale = 1 (centred only) to avoid division by zero, mirroring recipes::step_normalize.

Usage

compute_env_scaling(env)

Arguments

env

A data.frame/data.table with siteID, year and the environmental predictor columns.

Value

A data.frame with columns variable, center, scale; or NULL if there are no numeric predictors. This is the object stored on a fitted model as model$env_scaling when it is fit with env_autoscale = TRUE.

See also

apply_env_scaling