Quantiles of spatial data

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 class 'SpatRaster'
quantile(x, probs=seq(0, 1, 0.25), na.rm=FALSE, filename="", ...) 

# S4 method for class '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
#> class       : SpatRaster 
#> dimensions  : 77, 101, 5  (nrow, ncol, nlyr)
#> resolution  : 1, 1  (x, y)
#> extent      : 0, 101, 0, 77  (xmin, xmax, ymin, ymax)
#> coord. ref. : Cartesian (Meter) 
#> source(s)   : memory
#> names       :    q0, q0.25, q0.5, q0.75,  q1 
#> min values  :   0.0,   0.0,    0,     0,   0 
#> max values  : 127.5, 127.5,  255,   510, 510 

if (FALSE) { # \dontrun{
# same but slower
qa <- app(rr, quantile)
} # }

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