acacia                 package:ade4                 R Documentation

_S_p_a_t_i_a_l _p_a_t_t_e_r_n _a_n_a_l_y_s_i_s _i_n _p_l_a_n_t _c_o_m_m_u_n_i_t_i_e_s

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

     Counts of individuals of _Acacia ehrenbergiana_ from five parallel
     transects of 32 quadrats.

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

     data(acacia)

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

     'acacia' is a data frame with 15 variables :
      se.T1, se.T2, se.T3, se.T4, se.T5 are five numeric vectors
     containing quadrats counts of  seedlings from transects 1 to 5
     respectively;
      sm.T1, sm.T2, sm.T3, sm.T4, sm.T5 are five numeric vectors
     containing quadrats counts of small trees (crown < 1 m^2 in
     canopy) of transects 1 to 5 respectively; 
      la.T1, la.T2, la.T3, la.T4, la.T5 are five numeric vectors
     containing quadrats counts of  trees with large crown (crown > 1
     m^2 in canopy) of transects 1 to 5 respectively.

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

     Greig-Smith, P. and Chadwick, M.J. (1965) Data on pattern within
     plant communities. III. _Acacia-Capparis_ semi-desert scrub in the
     Sudan. _Journal of Ecology_, *53*, 465-474.

     Hill, M.O. (1973) The intensity of spatial pattern in plant
     communities. _Journal of Ecology_, *61*, 225-235.

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

     data(acacia)
     par(mfcol=c(5,3))
     par(mar = c(2,2,2,2))
     for(k in 1:15) {
         barplot(acacia[,k],ylim=c(0,20),col=grey(0.8))
         scatterutil.sub(names(acacia)[k],1.5,"topleft")
     }
     par(mfcol=c(1,1))

