meuse.Rd
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.
data(meuse)
This data frame contains the following columns:
a numeric vector; Easting (m) in Rijksdriehoek (RDH) (Netherlands topographical) map coordinates
a numeric vector; Northing (m) in RDH coordinates
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)
topsoil copper concentration, mg kg-1 soil ("ppm")
topsoil lead concentration, mg kg-1 soil ("ppm")
topsoil zinc concentration, mg kg-1 soil ("ppm")
relative elevation above local river bed, m
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 $[0,1]$
organic matter, kg (100 kg)-1 soil (percent)
flooding frequency class: 1 = once in two years; 2 = once in ten years; 3 = one in 50 years
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 class: 0 = absent, 1 = present by field test with 5% HCl
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
distance to river Meuse in metres, as obtained during the field survey
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.
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.
data(meuse)
summary(meuse)
#> x y cadmium copper
#> Min. :178605 Min. :329714 Min. : 0.200 Min. : 14.00
#> 1st Qu.:179371 1st Qu.:330762 1st Qu.: 0.800 1st Qu.: 23.00
#> Median :179991 Median :331633 Median : 2.100 Median : 31.00
#> Mean :180005 Mean :331635 Mean : 3.246 Mean : 40.32
#> 3rd Qu.:180630 3rd Qu.:332463 3rd Qu.: 3.850 3rd Qu.: 49.50
#> Max. :181390 Max. :333611 Max. :18.100 Max. :128.00
#>
#> lead zinc elev dist
#> Min. : 37.0 Min. : 113.0 Min. : 5.180 Min. :0.00000
#> 1st Qu.: 72.5 1st Qu.: 198.0 1st Qu.: 7.546 1st Qu.:0.07569
#> Median :123.0 Median : 326.0 Median : 8.180 Median :0.21184
#> Mean :153.4 Mean : 469.7 Mean : 8.165 Mean :0.24002
#> 3rd Qu.:207.0 3rd Qu.: 674.5 3rd Qu.: 8.955 3rd Qu.:0.36407
#> Max. :654.0 Max. :1839.0 Max. :10.520 Max. :0.88039
#>
#> om ffreq soil lime landuse dist.m
#> Min. : 1.000 1:84 1:97 0:111 W :50 Min. : 10.0
#> 1st Qu.: 5.300 2:48 2:46 1: 44 Ah :39 1st Qu.: 80.0
#> Median : 6.900 3:23 3:12 Am :22 Median : 270.0
#> Mean : 7.478 Fw :10 Mean : 290.3
#> 3rd Qu.: 9.000 Ab : 8 3rd Qu.: 450.0
#> Max. :17.000 (Other):25 Max. :1000.0
#> NA's :2 NA's : 1
coordinates(meuse) <- ~x+y
proj4string(meuse) <- CRS("+init=epsg:28992")