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gemas

GEMAS geochemical data set


Description

Geochemical data set on agricultural and grazing land soil

Usage

data(gemas)

Format

A data frame with 2108 observations and 30 variables

Details

  • COUNTRY country name

  • longitude longitude in WGS84

  • latitude latitude in WGS84

  • Xcoord UTM zone east

  • Ycoord UTM zone north

  • MeanTempAnnual mean temperature

  • AnnPrec Annual mean precipitation

  • soilclass soil class

  • sand sand

  • silt silt

  • clay clay

  • Al Concentration of aluminum (in mg/kg)

  • Ba Concentration of barium (in mg/kg)

  • Ca Concentration of calzium (in mg/kg)\

  • Cr Concentration of chromium (in mg/kg)

  • Fe Concentration of iron (in mg/kg)

  • K Concentration of pottasium (in mg/kg)

  • Mg Concentration of magnesium (in mg/kg)

  • Mn Concentration of manganese (in mg/kg)

  • Na Concentration of sodium (in mg/kg)

  • Nb Concentration of niobium (in mg/kg)

  • Ni Concentration of nickel (in mg/kg)

  • P Concentration of phosphorus (in mg/kg)

  • Si Concentration of silicium (in mg/kg)

  • Sr Concentration of strontium (in mg/kg)

  • Ti Concentration of titanium (in mg/kg)

  • V Concentration of vanadium (in mg/kg)\

  • Y Concentration of yttrium (in mg/kg)

  • Zn Concentration of zinc (in mg/kg)

  • Zr Concentration of zirconium (in mg/kg)

  • LOI Loss on ignition (in wt-percent)

The sampling, at a density of 1 site/2500 sq. km, was completed at the beginning of 2009 by collecting 2211 samples of agricultural soil (Ap-horizon, 0-20 cm, regularly ploughed fields), and 2118 samples from land under permanent grass cover (grazing land soil, 0-10 cm), according to an agreed field protocol. All GEMAS project samples were shipped to Slovakia for sample preparation, where they were air dried, sieved to <2 mm using a nylon screen, homogenised and split to subsamples for analysis. They were analysed for a large number of chemical elements. In this sample, the main elements by X-ray fluorescence are included as well as the composition on sand, silt, clay.

Author(s)

GEMAS is a cooperation project between the EuroGeoSurveys Geochemistry Expert Group and Eurometaux. Integration in R, Peter Filzmoser and Matthias Templ.

References

Reimann, C., Birke, M., Demetriades, A., Filzmoser, P. \& O'Connor, P. (Editors), 2014. Chemistry of Europe's agricultural soils - Part A: Methodology and interpretation of the GEMAS data set. Geologisches Jahrbuch (Reihe B 102), Schweizerbarth, Hannover, 528 pp. + DVD Reimann, C., Birke, M., Demetriades, A., Filzmoser, P. & O'Connor, P. (Editors), 2014. Chemistry of Europe's agricultural soils - Part B: General background information and further analysis of the GEMAS data set. Geologisches Jahrbuch (Reihe B 103), Schweizerbarth, Hannover, 352 pp.

Examples

data(gemas)
str(gemas)
## sample sites
## Not run: 
require(ggmap)
map <- get_map("europe", source = "stamen", maptype = "watercolor", zoom=4)
ggmap(map) + geom_point(aes(x=longitude, y=latitude), data=gemas)
map <- get_map("europe", zoom=4)
ggmap(map) + geom_point(aes(x=longitude, y=latitude), data=gemas, size=0.8)

## End(Not run)

robCompositions

Compositional Data Analysis

v2.3.0
GPL (>= 2)
Authors
Matthias Templ [aut, cre] (<https://orcid.org/0000-0002-8638-5276>), Karel Hron [aut] (<https://orcid.org/0000-0002-1847-6598>), Peter Filzmoser [aut] (<https://orcid.org/0000-0002-8014-4682>), Kamila Facevicova [ctb], Petra Kynclova [ctb], Jan Walach [ctb], Veronika Pintar [ctb], Jiajia Chen [ctb], Dominika Miksova [ctb], Bernhard Meindl [ctb], Alessandra Menafoglio [ctb] (<https://orcid.org/0000-0003-0682-6412>), Alessia Di Blasi [ctb], Federico Pavone [ctb], Gianluca Zeni [ctb]
Initial release
2020-11-18

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