sim.linearpopn: Simulate Animals on Lines

Description

This function is a simple substitute for the secr function sim.popn() for the case of a linear habitat.

Usage

sim.linearpopn(mask, D, N, Ndist = c('poisson', 'fixed'), ...)

Value

Object of class c(`linearpopn', `popn', `data.frame').

Arguments

mask: linearmask object
D: numeric density animals / km
N: number of individuals
Ndist: character string for distribution of total number of individuals
...: other arguments passed to sim.popn

Details

The linearmask input represents a discretized line - essentially a chain of line segments. By default, each segment is populated with a Poisson number of individuals. The user may specify D or N.

D may be a vector with one density per mask pixel, or a single number that will be applied across all pixels.

If Ndist = 'fixed' then a constant number of individuals N are simulated in each trial; otherwise N has a Poisson distribution across trials. N = sum(D) x mask length if D is specified.

This is a simplified wrapper for sim.popn called with model2D = "linear".

Examples

Run this code


x <- seq(0, 4*pi, length = 200)
xy <- data.frame(x = x*100, y = sin(x)*300)
mask <- read.linearmask(data = xy, spacing = 10)
trps <- make.line(mask, n = 15, startbuffer = 1000, by = 30)

newmask <- clipmask(mask, trps, buffer = 200)

linpop <- sim.linearpopn(newmask, 200)
CH <- sim.capthist(trps, linpop, userdist = networkdistance)
plot(newmask)
plot(CH, add = TRUE)

secr.fit(CH, mask = mask, details = list(userdist = networkdistance))