move_critters: Simulate correlated random walks using the simulated...

In lsw5077/DiagnoseHR: Simulations and Diagnostics for home range estimates

Description

Simulate correlated random walks using the simulated population (pop_world) and the detection space(myworld)

Usage

move_critters(pop_world, myworld, world.type = "closed", Nsteps,
  homerange.type = "fixed", homerange.size, mu = 0, rho = 0)

Arguments

pop_world	is the simulated population, created by populate_world()
myworld	is a detection world, created by make_world()
world.type	worlds may be 'open' such that orgs can leave the sample space, or 'closed' such that they cannot
Nsteps	The number of timesteps in which the organisms can make movements
homerange.type	Home ranges may be either 'fixed' with a defined home range for all organisms, or 'random' such that each individual draws a home range size in each iteration
homerange.size	Home range size of individuals with a fixed home range
mu	the mu parameter of the wrapped cauchy distribution determining step direction
rho	the rho parameter of the wrapped cauchy distribution determining step direction

Examples

move_critters(pop_world = pop_world, myworld = world, world.type = 'closed', Nsteps = 10, homerange.size = 10, mu = 0, rho = 0)

lsw5077/DiagnoseHR documentation built on Aug. 16, 2019, 11:33 a.m.