simulate_tracks: Simulate movement tracks

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

Simulate movement tracks

Description

Wrapper function to simulate tracks under multiple scenarios/movement models.

Usage

simulate_tracks(
  scenarios,
  n_steps,
  n_tracks,
  start_loc,
  sl_par,
  prange = NA,
  jitter = TRUE,
  neighbors = NA
)

Arguments

scenarios	Data frame defining parameter values for each scenario as formatted by create_scenarios_crw(), create_scenarios_ccrw(), etc.
n_steps	Numeric. Number of steps to simulate
n_tracks	Numeric. Number of tracks to simulate.
start_loc	Data frame with a single row containing coordinates of the starting location (columns x and y). 0, 0 if unprojected.
sl_par	Vector of length 2 containing the shape and scale of the step length distribution (Weibull)
prange	Numeric. Perceptual range radius. Units match the units of the coordinates: m if UTM, degrees if lat/long.
neighbors	List of cell neighborhoods created by get_neighbors. #' @param jitter Logical. If TRUE, starting locations will be jittered by 20 km in any direction for spatially-explicit models (MCRW and BCRW).

Value

Returns a data frame containing the coordinates of each location along the simulated tracks and the associated simulation parameter values as specified in scenarios. Each track is assigned an individual id under each scenario.

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