Histogram

Create a histogram of the values of a SpatRaster. For large datasets a sample of maxcell is used.

Usage

# S4 method for SpatRaster
hist(x, layer, maxcell=1000000, plot=TRUE, maxnl=16, main, ...)

Arguments

x

SpatRaster

layer

positive integer or character to indicate layer numbers (or names). If missing, all layers up to maxnl are used

maxcell

integer. To regularly sample very large objects

plot

logical. Plot the histogram or only return the histogram values

maxnl

positive integer. The maximum number of layers to use. Ignored if layer is not missing

main

character. Main title(s) for the plot. Default is the value of names

...

additional arguments. See hist

Value

This function is principally used for plotting a histogram, but it also returns an object of class "histogram" (invisibly if plot=TRUE).

See also

pairs, boxplot

Examples

r1 <- r2 <- rast(nrows=50, ncols=50)
values(r1) <- runif(ncell(r1))
values(r2) <- runif(ncell(r1))
rs <- r1 + r2
rp <- r1 * r2

opar <- par(no.readonly =TRUE)
par(mfrow=c(2,2))
plot(rs, main='sum')
plot(rp, main='product')
hist(rs)
a <- hist(rp)

a
#> $breaks
#>  [1] 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0
#> 
#> $counts
#>  [1] 816 483 352 250 188 159 117  76  42  17
#> 
#> $density
#>  [1] 3.264 1.932 1.408 1.000 0.752 0.636 0.468 0.304 0.168 0.068
#> 
#> $mids
#>  [1] 0.05 0.15 0.25 0.35 0.45 0.55 0.65 0.75 0.85 0.95
#> 
#> $xname
#> [1] "lyr.1"
#> 
#> $equidist
#> [1] TRUE
#> 
#> attr(,"class")
#> [1] "histogram"
x <- c(rs, rp, sqrt(rs))
hist(x)
par(opar)