raster.reduce: Reduce dimensionality of raster layers.
In cardosopmb/red: IUCN Redlisting Tools

Description Usage Arguments Details Value

Reduce the number of layers by either performing a PCA on them or by eliminating highly correlated ones.

1	raster.reduce(layers, method = "pca", n = NULL, thres = NULL)

`layers`	Raster* object as defined by package raster.
`method`	Either Principal Components Analysis ("pca", default) or Pearson's correlation ("cor").
`n`	Number of layers to reduce to.
`thres`	Value for pairwise Pearson's correlation above which one of the layers (randomly selected) is eliminated.

Using a large number of explanatory variables in models with few records may lead to overfitting. This function allows to avoid it as much as possible. If both n and thres are given, n has priority. If method is not recognized and layers come from raster.read function, only landcover is reduced by using only the dominating landuse of each cell.

A RasterStack object.

cardosopmb/red documentation built on May 13, 2020, 2:04 p.m.