cu_bout_det: Movement bout detection

In dsjohnson/crawlUtils: Enhance And Integrate the {crawl} Package For Spatial Analysis Of Telemetry Output

Movement bout detection

Description

Creates a data table that indicates the times of different bouts of movement. This method uses changes in the overall dispersion rate of the animal from the 'base' time to detect changes in overall movement from small scale local movement to large scale migration.

Usage

cu_bout_det(
  data,
  min_disp,
  migr_disp_cut = 1,
  min_bout_len = 3,
  grid_res = "day",
  base = "first",
  max_k = 100
)

Arguments

data	An sf data set of locations with times noted by the 'datetime' column
min_disp	The minimum dispersion rate to be considered a migration interval, e.g. 10 for a 10km dispersion minimum.
migr_disp_cut	The minimum per day dispersal rate to categorize a movement bout as "migratory" Defaults to 1.
min_bout_len	The mimimum length of time that a migration or non-migration event will take, e.g., 7 implies a minimum of 7 time intervals for a bout.
grid_res	The temporal resolution at which migrations are detected. e.g., "day" (default) implies migration start and end is detected on a daily resolution.
base	The location at which dispersion is measured. Can be one of "first" (first location), "last" (final location), or some other sf::sfc point location.
max_k	The maximum degrees of freedom used by mgcv::gam to model dispersion and estimate the derivative of the dispersion function.

Author(s)

Devin S. Johnson

dsjohnson/crawlUtils documentation built on Sept. 13, 2024, 1:34 p.m.