regress: Cell level regression

In rspatial/terra: Spatial Data Analysis

Cell level regression

Description

Run a regression model for each cell of a SpatRaster. The independent variable can either be defined by a vector, or another SpatRaster to make it spatially variable.

Usage

## S4 method for signature 'SpatRaster,numeric'
regress(y, x, formula=y~x, na.rm=FALSE, cores=1, filename="", overwrite=FALSE, ...)

## S4 method for signature 'SpatRaster,SpatRaster'
regress(y, x, formula=y~x, na.rm=FALSE, cores=1, filename="", overwrite=FALSE, ...)  

Arguments

y	SpatRaster
x	SpatRaster or numeric (of the same length as nlyr(x)
formula	regression formula in the general form of y ~ x. You can add additional terms such as I(x^2)
na.rm	logical. Remove NA values?
cores	positive integer. If cores > 1, a 'parallel' package cluster with that many cores is created and used. You can also supply a cluster object.
filename	character. Output filename
overwrite	logical. If TRUE, filename is overwritten
...	list with named options for writing files as in writeRaster

Value

SpatRaster

Examples

s <- rast(system.file("ex/logo.tif", package="terra"))   
x <- regress(s, 1:nlyr(s))

rspatial/terra documentation built on Nov. 5, 2024, 5:13 p.m.