backgroundSample {predicts} | R Documentation |
Random points
Description
Generate random points that can be used to extract background values ("random-absence"). The points are sampled (without replacement) from the cells that are not 'NA
' in raster 'mask
'.
If the coordinate reference system (of mask
) is longitude/latitude, sampling is weighted by the size of the cells. That is, because cells close to the equator are larger than cells closer to the poles, equatorial cells have a higher probability of being selected.
Usage
backgroundSample(mask, n, p, ext=NULL, extf=1.1, excludep=TRUE,
cellnumbers=FALSE, tryf=3, warn=2)
Arguments
mask |
SpatRaster. If the object has cell values, cells with |
n |
integer. Number of points |
p |
Presence points (if provided, random points won't be in the same cells (as defined by mask) |
ext |
SpatExtent. Can be used to restrict sampling to a spatial extent |
extf |
numeric. Multiplyer to adjust the size of extent 'ext'. The default increases of 1.1 increases the extent a little (5% at each side of the extent) |
excludep |
logical. If |
cellnumbers |
logical. If |
tryf |
numeric > 1. Multiplyer used for initial sample size from which the requested sample size is extracted after removing NA points (outside of mask) |
warn |
integer. 2 or higher gives most warnings. 0 or lower gives no warnings if sample size |
Value
matrix with coordinates, or, if cellnumbers=TRUE
, a vector with cell numbers.