homerange: Produces a homerange map.

In latticeDensity: Density Estimation and Nonparametric Regression on Irregular Regions

Description

homerange produces a map of the homerange, for any given percentage. The homerange contains the smallest number of nodes with total density greater than the percent. This function is illustrated in Barry and McIntyre (2011).

Usage

homerange(densityOut, percent = 0.95, output = FALSE)

Arguments

densityOut	A densityOut object, produced by createDensity.
percent	the sum of the probabilities of all nodes in the homerange exceeds this value.
output	if TRUE, the function returns a matrix containing, for each node, a location (first two columns) and whether the node is in the homerange.

Value

A list of two vectors used for mapping:

• nodes The coordinates of all nodes in the model

• ind Indicator functions, is the location in the homerange?

Author(s)

Ronald P. Barry

References

Ronald P. Barry, Julie McIntyre. Estimating animal densities and home range in regions with irregular boundaries and holes: A lattice-based alternative to the kernel density estimator. Ecological Modelling 222 (2011) 1666-1672. <doi:10.1016/j.ecolmodel.2011.02.016>

Examples

    plot.new()
data(polygon1)
nodeFillingOutput <- nodeFilling(poly=polygon1, node_spacing=0.015)
plot(nodeFillingOutput)
formLatticeOutput <- formLattice(nodeFillingOutput)
plot(formLatticeOutput)
Pointdata <- splancs::csr(polygon1,75)
Pointdata <- Pointdata[Pointdata[,1]<0.5,]
plot(polygon1,type="n")
polygon(polygon1)
points(Pointdata,pch=19)
out <- crossvalDensity(formLatticeOutput,PointPattern=Pointdata,
                      M=0.5,max_steps = 40)
densityOut <- createDensity(formLatticeOutput,PointPattern=Pointdata,
k=out$k,intensity=FALSE, sparse = TRUE)
plot(densityOut)
homerange(densityOut, percent = 0.95)

latticeDensity documentation built on April 18, 2021, 5:06 p.m.