pdot {secr} | R Documentation

## Net Detection Probability

### Description

Compute spatially explicit net probability of detection for individual(s) at given coordinates.

### Usage

    pdot(X, traps, detectfn = 0, detectpar = list(g0 = 0.2, sigma = 20),
        noccasions = 5)

### Arguments

`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)

### Details

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.

### Value

A vector of probabilities, one for each row in X.

### Author(s)

Murray Efford murray.efford@otago.ac.nz

### See Also

`secr`, `make.mask`, `detection functions`

### Examples

      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))

[Package secr version 1.3.0 Index]