sim_ccrw: Simulate Constrained Correlated Random Walk (CCRW)

In picardis/fidelity: Generate Null Expectations for Animal Site Fidelity

Simulate Constrained Correlated Random Walk (CCRW)

Description

Function to simulate a movement track under a Constrained Correlated Random Walk model. Called as needed by simulate_tracks.

Usage

sim_ccrw(
  n_steps,
  sl_par,
  rho,
  boundary_size,
  start_loc = data.frame(x = 0, y = 0),
  scenario_id = NA
)

Arguments

n_steps	Numeric. Number of steps to simulate
sl_par	Vector of length 2 containing the shape and scale of the step length distribution (Weibull)
rho	Numeric. Movement autocorrelation parameter
boundary_size	Numeric. Length of the side of the bounding box (m).
start_loc	Data frame with a single row containing coordinates of the starting location (columns x and y). 0, 0 if unprojected.
scenario_id	Character string. Optional ID of the current scenario. Automatically assigned when using simulate_tracks().

Details

Insert description

Value

Returns a data frame containing the coordinates of each location along the simulated track and the associated simulation parameter values as specified in create_scenarios_ccrw.

picardis/fidelity documentation built on Dec. 10, 2022, 6:16 a.m.