dayrange: Estimate day range (daily distance travelled)

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

Estimate day range (daily distance travelled)

Description

Estimates the average daily distance travlled by each individual in the population sampled with camera-traps. For that, it is needed activity and speed

Usage

dayrange(act, act_se, speed_data)

Arguments

act	Number of activity rate of the population. Takes values between 0 and 1. See 'fitact' in 'activity' R package for details.
act_se	Number of activity rate standard error.
speed_data	A data frame containing 3 columns and i rows (the output of 'meanspeed' function). Each row includes parameters for each movement behaviour (state) identified. First column: average movement speed expresed in m/s; second column: standard error of average movement speed; third column: number of animals classified on each behaviour.

Value

Day range expresed in km/day

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 \nRowcliffe, J. M., Kays, R., Kranstauber, B., Carbone, C., & Jansen, P. A. (2014). Quantifying levels of animal activity using camera trap data. Methods in Ecology and Evolution, 5(11), 1170-1179.

See Also

'identbhvs' and 'meanspeed' functions

Examples

speed_data <-data.frame(speeds=c(0.6, 0.9, 0.01), speeds_se=c(0.1, 0.2, 0.001), n_seq=c(50, 30, 10))
dayrange(act =0.68, act_se = 0.05, speed_data = speed_data)

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