Estimate basic parameters

Estimate singing rates, effective distances, and density based on simulation objects using the QPAD approach (Solymos et al. 2013).

Usage

estimate(object, ...)
# S3 method for bsims_transcript
estimate(object, ...)

Arguments

object: simulation object.
...: other arguments passed to internal functions.

Details

The method evaluates removal design to estimate model parameters and density using the QPAD methodology using the 'detect' package.

The function only works with multiple time and distance intervals. It returns NA otherwise.

Value

A vector with values for singing rate (phi), effective detection distance (tau), and density.

References

Solymos, P., Matsuoka, S. M., Bayne, E. M., Lele, S. R., Fontaine, P., Cumming, S. G., Stralberg, D., Schmiegelow, F. K. A. & Song, S. J., 2013. Calibrating indices of avian density from non-standardized survey data: making the most of a messy situation. Methods in Ecology and Evolution, 4: 1047--1058. <doi:10.1111/2041-210X.12106>

Author

Peter Solymos

Examples

set.seed(2)
phi <- 0.5                 # singing rate
tau <- 1                   # EDR by strata
dur <- 10                  # simulation duration
tbr <- c(2, 4, 6, 8, 10)   # time intervals
rbr <- c(0.5, 1, 1.5, Inf) # counting radii

l <- bsims_init(10, 0.5, 1)# landscape
p <- bsims_populate(l, 10)  # population
e <- bsims_animate(p,      # events
  vocal_rate=phi, duration=dur)
d <- bsims_detect(e,       # detections
  tau=tau)
x <- bsims_transcribe(d,   # transcription
  tint=tbr, rint=rbr)

estimate(x)
#>        phi        tau    density 
#>  0.4754889  0.9051818 11.3640146