redwood               package:spatstat               R Documentation

_C_a_l_i_f_o_r_n_i_a _R_e_d_w_o_o_d_s _P_o_i_n_t _P_a_t_t_e_r_n (_R_i_p_l_e_y'_s _S_u_b_s_e_t)

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

     Locations of 62 seedlings and saplings  of California redwood
     trees.

     The data represent the locations of 62 seedlings and saplings  of
     California redwood trees in a square sampling region.   They
     originate from Strauss (1975); the present data are a subset
     extracted by Ripley (1977)  in a subregion that has been rescaled
     to a unit square.

     There are many further analyses of this dataset. It is often used
     as a  canonical example of a clustered point pattern (see e.g.
     Diggle, 1983).

     The original, full redwood dataset is supplied in the 'spatstat'
     library as 'redwoodfull'.

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

     data(redwood)

_F_o_r_m_a_t:

     An object of class '"ppp"' representing the point pattern of tree
     locations. The window has been rescaled to the unit square.

     See 'ppp.object' for details of the format of a point pattern
     object.

_S_o_u_r_c_e:

     Strauss (1975), subset extracted by Ripley (1977)

_R_e_f_e_r_e_n_c_e_s:

     Diggle, P.J. (1983) _Statistical analysis of spatial point
     patterns_. Academic Press.

     Ripley, B.D. (1977) Modelling spatial patterns (with discussion).
     _Journal of the Royal Statistical Society, Series B_ *39*,
     172-212.

     Strauss, D.J. (1975) A model for clustering. _Biometrika_ *63*,
     467-475.

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

     'redwoodfull'

