raster.vol {spatialEco} | R Documentation |
Raster Percent Volume
Description
Calculates a percent volume on a raster or based on a systematic sample
Usage
raster.vol(
x,
p = 0.75,
sample = FALSE,
spct = 0.05,
type = c("random", "regular")
)
Arguments
x |
A terra SpatRaster class object |
p |
percent raster-value volume |
sample |
(FALSE/TRUE) base volume on systematic point sample |
spct |
sample percent, if sample (TRUE) |
type |
If sample=TRUE type of sample, options are "random" or "regular" |
Value
if sample (FALSE) binary raster object with 1 representing designated percent volume else, if sample (TRUE) n sf POINT object with points that represent the percent volume of the sub-sample
Note
Since this model needs to operate on all of the raster values, it is not memory safe
Author(s)
Jeffrey S. Evans <jeffrey_evans@tnc.org>
Examples
library(terra)
r <- rast(ncols=100, nrows=100)
r[] <- runif(ncell(r), 0, 1)
r <- focal(r, w=focalMat(r, 6, "Gauss"))
#r[sample(1:ncell(r)),10] <- NA
# full raster percent volume
p30 <- raster.vol(r, p=0.30)
p50 <- raster.vol(r, p=0.50)
p80 <- raster.vol(r, p=0.80)
opar <- par(no.readonly=TRUE)
par(mfrow=c(2,2))
plot(r, col=cm.colors(10), main="original raster")
plot(p30, breaks=c(0,0.1,1), col=c("cyan","red"), legend=FALSE,
main="30% volume")
plot(p50, breaks=c(0,0.1,1), col=c("cyan","red"), legend=FALSE,
main="50% volume")
plot(p80, breaks=c(0,0.1,1), col=c("cyan","red"), legend=FALSE,
main="80% volume")
par(opar)
[Package spatialEco version 2.0-2 Index]