estimate | R Documentation |
Estimate singing rates, effective distances, and density based on simulation objects using the QPAD approach (Solymos et al. 2013).
estimate(object, ...)
## S3 method for class 'bsims_transcript'
estimate(object, ...)
object |
simulation object. |
... |
other arguments passed to internal functions. |
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.
A vector with values for singing rate (phi), effective detection distance (tau), and density.
Peter Solymos
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>
bsims_init
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)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.