summary

Compute summary statistics (min, max, mean, and quartiles) for SpatRaster using base summary method. A sample is used for very large files.

For single or other statistics see Summary-methods, global, and quantile

Usage

# S4 method for class 'SpatRaster'
summary(object, size=100000, warn=TRUE, ...)

# S4 method for class 'SpatVector'
summary(object, ...)

Arguments

object

SpatRaster or SpatVector

size

positive integer. Size of a regular sample used for large datasets (see spatSample)

warn

logical. If TRUE a warning is given if a sample is used

...

additional arguments passed on to the base summary method

Value

matrix with (an estimate of) the median, minimum and maximum values, the first and third quartiles, and the number of cells with NA values

See also

Summary-methods, global, quantile

Examples

set.seed(0)
r <- rast(nrows=10, ncols=10, nlyrs=3)
values(r) <- runif(nlyr(r)*ncell(r))
summary(r)
#>      lyr.1             lyr.2             lyr.3        
#>  Min.   :0.01339   Min.   :0.01308   Min.   :0.02779  
#>  1st Qu.:0.32308   1st Qu.:0.28440   1st Qu.:0.18947  
#>  Median :0.48781   Median :0.51860   Median :0.37810  
#>  Mean   :0.52076   Mean   :0.51569   Mean   :0.43403  
#>  3rd Qu.:0.77171   3rd Qu.:0.72570   3rd Qu.:0.63596  
#>  Max.   :0.99191   Max.   :0.99268   Max.   :0.98156