percCover: Calculate the percentage cover of raster classes in a...

In SEEG-Oxford/seegSDM: Streamlined Functions for Species Distribution Modelling in the SEEG Research Group

Description

Given discrete high resolution raster (raster) and a lower resolution template raster (template) and set of evaluation points, calculate the percentage cover of each class of raster in the cells of template identified by points.

Usage

percCover(raster, template, points, codes)

Arguments

raster	A high-resolution discrete raster layer.
template	A lower resolution raster for which percentage cover of raster is to be calculated.
points	A set of points determining the pixels in template for which percentage cover is to be calculated. These are passed to the x argument of rasterize, so anything that function will accept should work here.
codes	A numeric vector giving the class labels for raster.

Value

A dataframe giving the percentage cover in the required pixels.

See Also

rasterize

Examples

# create a raster
r <- raster(nrows = 100, ncols = 100,
              xmn = 0, xmx = 10,
              ymn = 0, ymx = 10)
r <- setValues(r, round(runif(ncell(r)) * 10))
tmp <- aggregate(r, 10)
pts <- xyFromCell(tmp, sample(1:ncell(tmp), 3))
percCover(r, tmp, pts, 1:10)

SEEG-Oxford/seegSDM documentation built on May 9, 2019, 11:08 a.m.