| pdot {secr} | R Documentation |
Compute spatially explicit net probability of detection for individual(s) at given coordinates.
pdot(X, traps, detectfn = 0, detectpar = list(g0 = 0.2, sigma = 20),
noccasions = 5)
X |
coordinates |
traps |
traps object |
detectfn |
integer code for detection function q.v. |
detectpar |
a list giving a value for each named parameter of detection function |
noccasions |
number of intervals (occasions) |
The probability computed is p.(X) = 1 - (1 - prod(p_s(X,k))^S where
the product is over the detectors in traps. The
per-occasion detection function p_s is by default
half-normal, and is assumed to not vary over the S occasions.
The calculation is not valid for single-catch traps because p.(X) is reduced by competition between animals.
A vector of probabilities, one for each row in X.
Murray Efford murray.efford@otago.ac.nz
secr, make.mask, detection functions
temptrap <- make.grid() ## per-session detection probability for an individual centred ## at a corner trap. By default, noccasions = 5. pdot (c(0,0), temptrap, detectpar = list(g0 = 0.2, sigma = 20))