simpopn.bvn: Simulate Population With Bivariate Normal Attributes

In MurrayEfford/secrBVN: Bivariate Normal Home Range SECR

Simulate Population With Bivariate Normal Attributes

Description

This wrapper for the secr function sim.popn() adds attributes 's2xy' and 'theta')

Usage

simpopn.bvn(s2xy = c(300, 300), theta = NULL, ...)

Arguments

s2xy	numeric vector of s^2(x) and s^2(y), or function to generate these (see Details)
theta	numeric orientation of home range (radians)
...	other arguments passed to sim.popn

Details

By default all animals receive the same home range (s2xy) attribute values. An alternative is to generate individual values on the fly; this is achieved by providing a function as the argument s2xy. The function should accept a single argument (the number of individuals) and return a 2-column matrix (the values of s2xy, one row per animal).

NULL theta causes each animal to be assigned a uniform random orientation.

Negative theta causes a single common random orientation to be chosen (all ranges aligned).

Value

Object of class "popn" with additional attributes 's2xy' and 'theta

Note

See plotpopn.bvn Examples for variable size (up to 9-fold difference in area in that case).

See Also

plotpopn.bvn, sim.popn

Examples

tempgrid <- make.grid(detector='proximity')
pop <- simpopn.bvn(s2xy=c(225/2,225*2), core = tempgrid,
    buffer = 100, D = 10)
plot(pop)
plotpopn.bvn(pop)

# random variation
rs2xy <- function(N, scale = 225) {
    matrix(scale * (0.5 + runif(N*2)*2)^2, ncol = 2)
}
pop <- simpopn.bvn(s2xy = rs2xy, core = tempgrid, buffer = 100, D = 10)
plotpopn.bvn(pop)

MurrayEfford/secrBVN documentation built on Oct. 14, 2022, 5:20 a.m.