auckland                package:spdep                R Documentation

_M_a_r_s_h_a_l_l'_s _i_n_f_a_n_t _m_o_r_t_a_l_i_t_y _i_n _A_u_c_k_l_a_n_d _d_a_t_a_s_e_t

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

     (Use 'example(auckland)' to load the data from shapefile and
     generate neighbour list on the fly).

     The 'auckland' data frame has 167 rows (census area units - CAU)
     and 4 columns. The dataset also includes the "nb" object
     'auckland.nb' of neighbour relations based on contiguity, and the
     "polylist" object 'auckpolys' of polygon boundaries for the CAU.
     The 'auckland' data frame includes the following columns:

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

     data(auckland)

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

     This data frame contains the following columns:

     _E_a_s_t_i_n_g a numeric vector of x coordinates in an unknown spatial
          reference system

     _N_o_r_t_h_i_n_g a numeric vector of y coordinates in an unknown spatial
          reference system

     _M_7_7__8_5 a numeric vector of counts of infant (under 5 years of age)
          deaths in Auckland, 1977-1985

     _U_n_d_5__8_1 a numeric vector of population under 5 years of age at the
          1981 Census

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

     The contiguous neighbours object does not completely replicate
     results in the sources, and was reconstructed from 'auckpolys';
     examination of figures in the sources suggests that there are
     differences in detail, although probably not in substance.

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

     Marshall R M (1991) Mapping disease and mortality rates using
     Empirical Bayes Estimators, Applied Statistics, 40, 283-294;
     Bailey T, Gatrell A (1995) Interactive Spatial Data Analysis,
     Harlow: Longman - INFOMAP data set used with permission.

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

     auckland <- readShapePoly(system.file("etc/shapes/auckland.shp",
      package="spdep")[1])
     auckland.nb <- poly2nb(auckland)

