dcEvaluate {dismo}

Evaluate by distance class

Description

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).

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

Author(s)

Robert J. Hijmans

See Also

pwdSample, ssb