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