pdot                  package:secr                  R Documentation

_N_e_t _D_e_t_e_c_t_i_o_n _P_r_o_b_a_b_i_l_i_t_y

_D_e_s_c_r_i_p_t_i_o_n:

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

_U_s_a_g_e:

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

_A_r_g_u_m_e_n_t_s:

       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) 

_D_e_t_a_i_l_s:

     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.

_V_a_l_u_e:

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

_A_u_t_h_o_r(_s):

     Murray Efford murray.efford@otago.ac.nz

_S_e_e _A_l_s_o:

     'secr', 'make.mask', 'detection functions'

_E_x_a_m_p_l_e_s:

       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))

