dcEvaluate
From dismo v1.14
by Robert Hijmans
Evaluate by distance class
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).
 Keywords
 spatial
Usage
dcEvaluate(p, a, reference, lonlat=TRUE, binsize=15, predp, preda, model, predictors, fun=predict)
Arguments
 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 useFALSE
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
Value

list with Evaluation objects
See Also
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