gremDensity: Calculate population density using the gREM.

In arcaravaggi/RandEM: Population density estimates via Random Encounter Models in R

Description

Calculate population density from count data using the gREM.

Usage

gremDensity(count, alpha, theta, r, v, tm)

Arguments

count	Number of detections.
alpha	Call width in radians.
theta	Detector width in radians.
r	Sensor detection radius in metres.
v	Average animal speed in kilometers per day.
tm	Total survey time in hours. This is the amount of time the sensors are active multiplied by the number of sensors used.

Details

Note that the REM of Rowcliffe et al. 2008 can be used by setting alpha to 2*pi and the Gas Model of Yapp 1956 can be used setting alpha and theta to 2*pi.

References

Lucas, T. C. D., Moorcroft, E. A., Freeman, R., Rowcliffe, J. M., Jones, K. E. (2015), A generalised random encounter model for estimating animal density with remote sensor data. Methods in Ecology and Evolution. doi: 10.1111/2041-210X.12346

Rowcliffe, J., Field, J., Turvey, S. & Carbone, C. (2008) Estimating animal density using camera traps without the need for individual recognition. Journal of Applied Ecology, 45, 1228-1236.

Yapp, W. (1956) The theory of line transects. Bird Study, 3, 93-104.

See Also

gremAbundance

arcaravaggi/RandEM documentation built on May 24, 2019, 3:03 a.m.