dcEvaluate: Evaluate by distance class
In dismo: Species Distribution Modeling

Description Usage Arguments Value Author(s) See Also

Evaluate a model for intervals of distances to the nearest point in a reference dataset for presence data and a sample of the absence data selected to have a low spatial sorting bias (obtained with pwdSample).

1 2	dcEvaluate(p, a, reference, lonlat=TRUE, binsize=15, predp, preda, model, predictors, fun=predict)

`p`	two column matrix (x, y) or (longitude/latitude) or SpatialPoints object, for point locations
`a`	two column matrix (x, y) or (longitude/latitude) or SpatialPoints object, for point locations
`reference`	as above for reference point locations to which distances are computed
`lonlat`	Logical. Use `TRUE` if the coordinates are spherical (in degrees), and use `FALSE` if they are planar
`binsize`	postive integer. How many presence points in each distance bin?
`predp`	p
`preda`	a
`model`	m
`predictors`	pr
`fun`	function