Strauss               package:spatial               R Documentation

_S_i_m_u_l_a_t_e_s _S_t_r_a_u_s_s _S_p_a_t_i_a_l _P_o_i_n_t _P_r_o_c_e_s_s

_D_e_s_c_r_i_p_t_i_o_n:

     Simulates Strauss spatial point process.

_U_s_a_g_e:

     Strauss(n, c=0, r)

_A_r_g_u_m_e_n_t_s:

       n: number of points 

       c: parameter 'c' in [0, 1]. 'c' = 0 corresponds to complete
          inhibition at distances up to 'r'. 

       r: inhibition distance 

_D_e_t_a_i_l_s:

     Uses spatial birth-and-death process for 4'n' steps, or for 40'n'
     steps starting from a binomial pattern on the first call from an
     other function. Uses the region set by 'ppinit' or 'ppregion'.

_V_a_l_u_e:

     list of vectors of x and y coordinates

_S_i_d_e _E_f_f_e_c_t_s:

     uses the random number generator

_R_e_f_e_r_e_n_c_e_s:

     Ripley, B. D. (1981) _Spatial Statistics._ Wiley.

     Venables, W. N. and Ripley, B. D. (2002) _Modern Applied
     Statistics with S._ Fourth edition.  Springer.

_S_e_e _A_l_s_o:

     'Psim', 'SSI'

_E_x_a_m_p_l_e_s:

     towns <- ppinit("towns.dat")
     par(pty="s")
     plot(Kfn(towns, 10), type="b", xlab="distance", ylab="L(t)")
     lines(Kaver(10, 25, Strauss(69,0.5,3.5)))