mkde (version 0.1)

mkde2Dinteraction: Probability of 2D spatial-temporal interaction.

Description

Probability of 2D spatial-temporal interaction.

Usage

mkde2Dinteraction(mkde.obj, move.dat0, move.dat1, t.step, d.thresh)

Arguments

mkde.obj

An MKDE object created with initialize2DMKDE

move.dat0

A move data object for the first individual created with initializeMovementData

move.dat1

A move data object for the second individual created with initializeMovementData

t.step

A time step used for numerical integration over the movement trajectory

d.thresh

The value of the kernel below which its contibrution to the overal density is considered negligible

Value

Returns a list with the following elements:

mkde.obj

An updated MKDE object containing the cell-level Bhattacharyya coefficients

move.dat0

A move data object for the first individuals with updated variance parameters

move.dat1

A move data object for the second individuals with updated variance parameters

Details

This function assumes that the two individual animals were observed at the same times. The cell values returned in the mkde.obj can be summed to obtain a global measure of spatio-temporal interaction.

Examples

library(raster)
data(panda)
mv.dat0 <- initializeMovementData(panda$time, panda$x, panda$y, 
sig2obs=25.0, t.max=185.0)

n <- nrow(panda)
v <- 20.0 # increase from 0 to increase difference
mv.dat1 <- initializeMovementData(panda$time, panda$x+rnorm(n, 0, v), 
panda$y+rnorm(n, 0, v), sig2obs=25.0, t.max=185.0)

data(pandadem)
cell.sz <- mean(res(pandadem))
ext <- extent(pandadem)
nx <- ncol(pandadem)
ny <- nrow(pandadem)
mkde.obj <- initializeMKDE2D(ext@xmin, cell.sz, nx, ext@ymin, cell.sz,
ny)

res <- mkde2Dinteraction(mkde.obj, mv.dat0, mv.dat1, 10.0, 1e-20)
mkde.obj <- res$mkde.obj
mv.dat0 <- res$move.dat0
mv.dat1 <- res$move.dat1