columbus                package:spdep                R Documentation

_C_o_l_u_m_b_u_s _O_H _s_p_a_t_i_a_l _a_n_a_l_y_s_i_s _d_a_t_a _s_e_t

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

     The 'columbus' data frame has 49 rows and 22 columns. Unit of
     analysis: 49 neighbourhoods in Columbus, OH, 1980 data. In
     addition the data set includes a 'polylist' object 'polys' with
     the boundaries of the neighbourhoods, a matrix of polygon
     centroids 'coords', and 'col.gal.nb', the neighbours list from an
     original GAL-format file. The matrix 'bbs' is DEPRECATED, but
     retained for other packages using this data set.

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

     data(columbus)

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

     This data frame contains the following columns:

     _A_R_E_A computed by ArcView

     _P_E_R_I_M_E_T_E_R computed by ArcView

     _C_O_L_U_M_B_U_S_ internal polygon ID (ignore)

     _C_O_L_U_M_B_U_S__I another internal polygon ID (ignore)

     _P_O_L_Y_I_D yet another polygon ID

     _N_E_I_G neighborhood id value (1-49); conforms to id value used in
          Spatial Econometrics book.

     _H_O_V_A_L housing value (in $1,000)

     _I_N_C household income (in $1,000)

     _C_R_I_M_E residential burglaries and vehicle thefts per thousand
          households in the neighborhood

     _O_P_E_N open space in neighborhood

     _P_L_U_M_B percentage housing units without plumbing

     _D_I_S_C_B_D distance to CBD

     _X x coordinate (in arbitrary digitizing units, not polygon
          coordinates)

     _Y y coordinate (in arbitrary digitizing units, not polygon
          coordinates)

     _N_S_A north-south dummy (North=1)

     _N_S_B north-south dummy (North=1)

     _E_W east-west dummy (East=1)

     _C_P core-periphery dummy (Core=1)

     _T_H_O_U_S constant=1,000

     _N_E_I_G_N_O NEIG+1,000, alternative neighborhood id value

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

     The row names of 'columbus' and the 'region.id' attribute of
     'polys' are set to 'columbus$NEIGNO'.

_N_o_t_e:

     All source data files prepared by Luc Anselin, Spatial Analysis
     Laboratory, Department of Agricultural and Consumer Economics,
     University of Illinois, Urbana-Champaign, <URL:
     http://sal.agecon.uiuc.edu/datasets/columbus.zip>.

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

     Anselin, Luc.  1988.  Spatial econometrics: methods and models. 
     Dordrecht: Kluwer Academic, Table 12.1 p. 189.

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

     columbus <- readShapePoly(system.file("etc/shapes/columbus.shp",
      package="spdep")[1])
     col.gal.nb <- read.gal(system.file("etc/weights/columbus.gal",
      package="spdep")[1])

