sim_mov: Simulation of patch-based movement trajectory

In BastilleRousseau/moveNT: An R package for the analysis of movement data using network theory

Simulation of patch-based movement trajectory

Description

Simulate a movement trajectory with a user defined number of patches and interpatch movement

Usage

sim_mov(type = c("2states", "OU"), npatches = 5, ratio = 5,
  nswitch = 150, ncore = 200, spacecore = 200,
  seq_visit = sample(1:npatches, nswitch, replace = T),
  stepDist = "gamma", angleDist = "vm", stepPar = c(0.5, 3, 1, 5),
  anglePar = c(pi, 0, 0.5, 2), s = diag(40, 2), grph = F)

Arguments

type	whether movement within patches should be based on a 2states process (from package moveHMM) or a Bivariate Ornstein-Uhlenbeck process (OU) (from package adehabitatLT)
npatches	Number of patches, default=5
ratio	Ratio (in percent) of locations associated to interpatch movement, default=5
nswitch	Number of switch/depart from patches, default=150
ncore	Number of locations within a patch per visit, default=200
spacecore	Minimum distance between center of patches, default=200
seq_visit	Specify the sequence of visit among patches, default is random sequence
stepDist	Distribution for step length if 2states specified in type, see simData of moveHMM package
angleDist	Distribution for turn angle if 2states specified in type, see simData of moveHMM package
stepPar	Parameters for step length distribution if 2states specified in type, see simData of moveHMM package
anglePar	Parameters for turn angle distribution if 2states specified in type, see simData of moveHMM package
s	Parameters for the OU process, see simm.mou of adehabitatLT package
grph	Whether a graph of the trajectory should be produced, default=F

Value

A ltraj (adehabitatLT) object

Examples

traj1<-sim_mov(type="OU", npatches=3, grph=T)
traj2<-sim_mov(type="2states", npatches=2, grph=T)

BastilleRousseau/moveNT documentation built on Aug. 26, 2023, 5:54 a.m.