dcEvaluate

0th

Percentile

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 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
Value

list with Evaluation objects

See Also

pwdSample, ssb

Aliases
  • dcEvaluate
Documentation reproduced from package dismo, version 1.1-4, License: GPL (>= 3)

Community examples

Looks like there are no examples yet.