meanspeed: Estimate size-biased mean movement speed of a population...

In PabloPalencia/trappingmotion: Integrate camera-trapping in movement and behavioural studies.

Estimate size-biased mean movement speed of a population sampled with camera-traps

Description

When working with camera-trpas, the probability of sampling a given speed is proportional to itself. To estimate the average movement speed, a specific function should be applied to correct this size-biased sample. Different functions have been described (e.g. log-normal, gamma or Weibull), in this case we applied a Harmonic mean to estimate mean movement speed

Usage

meanspeed(x)

Arguments

x	The output of 'identbehv' function (i.e. a data frame containing in the first colum the speed values, and in the second column the behaviour group).

Value

Mean and standard error of each movement state.

Author(s)

Pablo Palencia

References

Palencia, P., Fernandez-Lopez, J., Vicente, J., & Acevedo, P. (2021). Innovations in movement and behavioural ecology from camera traps: day range as model parameter. Methods in Ecology and Evolution, doi:10.1111/2041-210X.13609 Rowcliffe, J. M., Jansen, P. A., Kays, R., Kranstauber, B., & Carbone, C. (2016). Wildlife speed cameras: measuring animal travel speed and day range using camera traps. Remote Sensing in Ecology and Conservation, 2(2), 84-94.

Examples

behav_class <- data.frame(speed = c(runif(20, 0, 0.3), runif(30, 0.4, 0.7), runif(40, 0.8, 1.2)), behaviour = c(rep(1, 20), rep(2, 30), rep(3, 40)))
meanspeed(behav_class)

PabloPalencia/trappingmotion documentation built on Jan. 27, 2024, 1:44 p.m.