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).
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 |
binsize |
postive integer. How many presence points in each distance bin? |
predp |
p |
preda |
a |
model |
m |
predictors |
pr |
fun |
function |
list with Evaluation objects
Robert J. Hijmans
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