plausibilityTest: plausibilityTest
In RRemelgado/rsMove: Guidelines for the use of Remote Sensing in Movement Ecology

Description Usage Arguments Details Value Examples

Quantifies and plots the distribution of pixels within a mask over a reference categorical raster object.

1	plausibilityTest(x, y, class.labels = NULL)

`x`	Object of class RasterLayer and RasterStack.
`y`	Object of class RasterLayer.
`class.labels`	Labels of classes in y provided as a character vector.

For each lazer in x, (e.g. classification mask) the function returns the absolute and relative count of non-NA pixels within each unique value of y (e.g. land cover map). Then, the results for each layer are compared in a combined plot. The output of the function is a list consisting of:

absolute.count - Absolute pixel count for each layer of x overlapping with each value of y.
relative.count - Relative pixel count for each layer of x overlapping with each value of y.
relative.plot - Plot comparing the relative pixel count of the layers in x within each value of y.

A list.

{

 require(raster)

 # load example probability image
 file <- system.file('extdata', 'probabilities.tif', package="rsMove")
 p <- raster(file) > 0.5

 # land cover map
 lc <- raster(system.file('extdata', 'landCover.tif', package="rsMove"))

 # segment probabilities
 pt <- plausibilityTest(p, lc)

 # show plot
 pt$relative.plot

 # see relative sample count
 head(pt$relative.count)

}