meuse                 package:gstat                 R Documentation

_M_e_u_s_e _r_i_v_e_r _d_a_t_a _s_e_t

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

     This data set gives locations and top soil heavy metal
     concentrations (ppm), along with a number of soil and landscape
     variables, collected in a flood plain of the river Meuse, near the
     village Stein. Heavy metal concentrations are bulk sampled from an
     area of approximately 15 m x 15 m.

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

     data(meuse)

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

     This data frame contains the following columns:

     _x a numeric vector; x-coordinate (m) in RDM (Dutch topographical
          map coordinates) 

     _y a numeric vector; y-coordinate (m) in RDM (Dutch topographical
          map coordinates)

     _c_a_d_m_i_u_m topsoil cadmium concentration, ppm.; note that zero
          cadmium values in the original data set have been shifted to
          0.2 (half the lowest  non-zero value) 

     _c_o_p_p_e_r topsoil copper concentration, ppm. 

     _l_e_a_d topsoil lead concentration, ppm. 

     _z_i_n_c topsoil zinc concentration, ppm.  

     _e_l_e_v relative elevation

     _d_i_s_t distance to river Meuse; obtained from the nearest cell in
          meuse.grid, which in turn was derived by a spread (spatial
          distance) GIS operation, therefore it is accurate up to 20
          metres;  normalized $[0,1]$ 

     _o_m organic matter, as percentage 

     _f_f_r_e_q flooding frequency class

     _s_o_i_l soil type

     _l_i_m_e lime class

     _l_a_n_d_u_s_e landuse class

     _d_i_s_t._m distance to river Meuse (metres), as obtained during the
          field survey

_N_o_t_e:

     'Sample' refers to original sample number (9 of the original 164
     samples were discarded)

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

     P.A. Burrough, R.A. McDonnell, 1998. Principles of Geographical
     Information Systems. Oxford University Press.

     <URL: http:/www.gstat.org/>

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

     meuse.all

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

     data(meuse)
     summary(meuse)

