Meuse river data set – original, full data set

Description

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.

Usage

data(meuse.all)

Format

This data frame contains the following columns:

sample

sample number

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)

cadmium

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)

copper

topsoil copper concentration, ppm.

lead

topsoil lead concentration, ppm.

zinc

topsoil zinc concentration, ppm.

elev

relative elevation

om

organic matter, as percentage

ffreq

flooding frequency class

soil

soil type

lime

lime class

landuse

landuse class

dist.m

distance to river Meuse (metres), as obtained during the field survey

in.pit

logical; indicates whether this is a sample taken in a pit

in.meuse155

logical; indicates whether the sample is part of the meuse (i.e., filtered) data set; in addition to the samples in a pit, an sample (139) with outlying zinc content was removed

in.BMcD

logical; indicates whether the sample is used as part of the subset of 98 points in the various interpolation examples of Burrough & McDonnell

Note

sample refers to original sample number. Eight samples were left out because they were not indicative for the metal content of the soil. They were taken in an old pit. One sample contains an outlying zinc value, which was also discarded for the meuse (155) data set.

Author(s)

The actual field data were collected by Ruud van Rijn and Mathieu Rikken; data compiled for R by Edzer J. Pebesma

References

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

http:/www.gstat.org/

See Also

meuse.alt

Examples

data(meuse.all)
summary(meuse.all)