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meuse                    package:sp                    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 topsoil heavy metal
     concentrations, along with a number of soil and landscape
     variables at the observation locations, collected in a flood plain
     of the river Meuse, near the village of Stein (NL). Heavy metal
     concentrations are from composite samples of 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; Easting (m) in Rijksdriehoek (RDH)
          (Netherlands topographical) map coordinates

     y a numeric vector; Northing (m) in RDH coordinates

     cadmium topsoil cadmium concentration, mg kg-1 soil ("ppm"); zero
          cadmium values in the original data set have been shifted to
          0.2 (half the lowest non-zero value)

     copper topsoil copper concentration, mg kg-1 soil ("ppm")

     lead topsoil lead concentration, mg kg-1 soil ("ppm")

     zinc topsoil zinc concentration, mg kg-1 soil ("ppm")

     elev relative elevation above local river bed, m

     dist distance to the Meuse; obtained from the nearest cell in
          meuse.grid, which in turn was derived by a spread (spatial
          distance) GIS operation, horizontal precision 20 metres; then
          normalized to $[0,1]$

     om organic matter, kg (100 kg)-1 soil (percent)

     ffreq flooding frequency class: 1 = once in two years; 2 = once in
          ten years; 3 = one in 50 years

     soil soil type according to the 1:50 000 soil map of the
          Netherlands. 1 = Rd10A (Calcareous weakly-developed meadow
          soils, light sandy clay); 2 = Rd90C/VII (Non-calcareous
          weakly-developed meadow soils, heavy sandy clay to light
          clay); 3 = Bkd26/VII (Red Brick soil, fine-sandy, silty light
          clay)

     lime lime class: 0 = absent, 1 = present by field test with 5% HCl

     landuse landuse class: Aa Agriculture/unspecified = , Ab =
          Agr/sugar beetsm, Ag = Agr/small grains, Ah = Agr/??, Am =
          Agr/maize, B = woods, Bw = trees in pasture, DEN = ??, Fh =
          tall fruit trees, Fl = low fruit trees; Fw = fruit trees in
          pasture, Ga = home gardens, SPO = sport field, STA = stable
          yard, Tv = ?? , W = pasture

     dist.m distance to river Meuse in metres, as obtained during the
          field survey

_N_o_t_e:

     row.names refer to the original sample number.

     Soil units were mapped with a minimum delination width of 150 m,
     and so somewhat generalize the landscape.

     Approximate equivalent World Reference Base 2002 for Soil
     Resources names are: Rd10A Gleyic Fluvisols; Rd90C Haplic
     Fluvisols; Bkd26 Haplic Luvisols. Units Rd90C and Bkd26 have
     winter groundwater > 80cm, summer > 120cm depth.

_A_u_t_h_o_r(_s):

     Field data were collected by Ruud van Rijn and Mathieu Rikken;
     compiled for R by Edzer Pebesma; description extended by David
     Rossiter

_R_e_f_e_r_e_n_c_e_s:

     M G J Rikken and R P G Van Rijn, 1993. Soil pollution with heavy
     metals - an inquiry into spatial variation, cost of mapping and
     the risk evaluation of copper, cadmium, lead and zinc in the
     floodplains of the Meuse west of Stein, the Netherlands.
     Doctoraalveldwerkverslag, Dept. of Physical Geography, Utrecht
     University

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

     Stichting voor Bodemkartering (STIBOKA), 1970. Bodemkaart van
     Nederland : Blad 59 Peer, Blad 60 West en 60 Oost Sittard: schaal
     1 : 50 000. Wageningen, STIBOKA.

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

_E_x_a_m_p_l_e_s:

     data(meuse)
     summary(meuse)
     coordinates(meuse) <- ~x+y
     proj4string(meuse) <- CRS("+init=epsg:28992")
     

meuse.grid                 package:sp                  R Documentation

_P_r_e_d_i_c_t_i_o_n _G_r_i_d _f_o_r _M_e_u_s_e _D_a_t_a _S_e_t

_D_e_s_c_r_i_p_t_i_o_n:

     The 'meuse.grid' data frame has 3103 rows and 7 columns; a grid
     with 40 m x 40 m spacing that covers the Meuse study area (see
     meuse)

_U_s_a_g_e:

     data(meuse.grid)
     
_F_o_r_m_a_t:

     This data frame contains the following columns:

     x a numeric vector; x-coordinate (see meuse)

     y a numeric vector; y-coordinate (see meuse)

     dist distance to the Meuse river; obtained by a spread (spatial
          distance) GIS operation, from border of river; normalized to
          $[0,1]$

     ffreq flooding frequency class, for definitions see this item in
          meuse; it is not known how this map was generated

     part.a arbitrary division of the area in two areas, a and b

     part.b see 'part.a'

     soil soil type, for definitions see this item in meuse; it is
          questionable whether these data come from a real soil map,
          they do not match the published 1:50 000 map

_D_e_t_a_i_l_s:

     'x' and 'y' are in RD New, the Dutch topographical map coordinate
     system. Roger Bivand projected this to UTM in the R-Grass
     interface package.

_S_o_u_r_c_e:

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

_R_e_f_e_r_e_n_c_e_s:

     See the meuse documentation

_E_x_a_m_p_l_e_s:

     data(meuse.grid)
     coordinates(meuse.grid) = ~x+y
     proj4string(meuse.grid) <- CRS("+init=epsg:28992")
     gridded(meuse.grid) = TRUE
     spplot(meuse.grid)
     


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