quantile: Quantiles of spatial data

In rspatial/terra: Spatial Data Analysis

Quantiles of spatial data

Description

Compute quantiles for each cell across the layers of a SpatRaster.

You can use use global(x, fun=quantile) to instead compute quantiles across cells for each layer.

You can also use this method to compute quantiles of the numeric variables of a SpatVector.

Usage

## S4 method for signature 'SpatRaster'
quantile(x, probs=seq(0, 1, 0.25), na.rm=FALSE, filename="", ...) 

## S4 method for signature 'SpatVector'
quantile(x, probs=seq(0, 1, 0.25), ...) 

Arguments

x	SpatRaster or SpatVector
probs	numeric vector of probabilities with values in [0,1]
na.rm	logical. If TRUE, NA's are removed from x before the quantiles are computed
filename	character. Output filename
...	additional arguments for writing files as in writeRaster

Value

SpatRaster with layers representing quantiles

See Also

app

Examples

r <- rast(system.file("ex/logo.tif", package="terra"))   
rr <- c(r/2, r, r*2)
qr <- quantile(rr)
qr

## Not run: 
# same but slower
qa <- app(rr, quantile)

## End(Not run)

#quantile by layer instead of by cell
qg <- global(r, quantile)

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