recorrelate_newdata: Recorrelate Machine Learning Predictions

In spmodel: Spatial Statistical Modeling and Prediction

Recorrelate Machine Learning Predictions

Description

Recorrelate machine learning predictions according to a spatial decorrelation transformation.

Usage

recorrelate_newdata(object, ty_newdata)

Arguments

object	A decorrelate_newdata() object.
ty_newdata	Predictions from the machine learning model trained on the spatially decorrelated data and applied to spatially decorrelated newdata.

Value

A vector of predictions

Examples

params <- spcov_params("exponential", de = 1, ie = 0.2, range = 1e5)
decorr <- decorrelate_data(log_cond ~ temp, data = lake, spcov_params = params)
fit <- ranger::ranger(x = decorr$tX, y = decorr$ty)
decorr_newdata <- decorrelate_newdata(decorr, newdata = lake_preds)
rfpreds <- predict(fit, data = decorr_newdata$tX_newdata)$predictions
recorrelate_newdata(decorr_newdata, rfpreds)

spmodel documentation built on Sept. 11, 2026, 1:07 a.m.