prcomp: Principle components of stars object

In r-spatial/stars: Spatiotemporal Arrays, Raster and Vector Data Cubes

Principle components of stars object

Description

Compute principle components of stars object

Usage

## S3 method for class 'stars_proxy'
prcomp(x, ..., downsample = 0)

## S3 method for class 'stars'
prcomp(x, ..., quiet = FALSE)

Arguments

x	object of class 'stars' or 'stars_proxy'
...	see prcomp
downsample	see st_as_stars
quiet	logical; if 'TRUE', suppress message that PCs will be computed on last dimension; see details

Details

if 'x' has only one attribute, principle components will be computed in the space of the last dimension of 'x' to predict PC scores into a 'stars' object, use predict.stars; see example below

Value

object of class 'prcomp', see prcomp

Examples

l7 = split(st_as_stars(L7_ETMs), 3) # use bands as features
l7 |> prcomp() |> plot()
l7 |> prcomp() |> predict(l7, model = _) |> merge() |> plot()

r-spatial/stars documentation built on April 27, 2024, 10:21 a.m.