| bsstop {mvoutlier} | R Documentation |
Top Layer of the BSS Data
Description
The BSS data were collected in agrigultural soils from Northern Europe. from an area of about 1,800,000 km2. 769 samples on an iregular grid were taken in two different layers, the top layer (0-20cm) and the bottom layer. This dataset contains the top layer of the BSS data. It has 46 variables, including x and y coordinates.
Usage
data(bsstop)Format
A data frame with 768 observations on the following 46 variables.
- ID
a numeric vector
- CNo
a numeric vector
- XCOO
x coordinates: a numeric vector
- YCOO
y coordinates: a numeric vector
- SiO2_T
a numeric vector
- TiO2_T
a numeric vector
- Al2O3_T
a numeric vector
- Fe2O3_T
a numeric vector
- MnO_T
a numeric vector
- MgO_T
a numeric vector
- CaO_T
a numeric vector
- Na2O_T
a numeric vector
- K2O_T
a numeric vector
- P2O5_T
a numeric vector
- SO3_T
a numeric vector
- Cl_T
a numeric vector
- F_T
a numeric vector
- LOI_T
a numeric vector
- As_T
a numeric vector
- Ba_T
a numeric vector
- Bi_T
a numeric vector
- Ce_T
a numeric vector
- Co_T
a numeric vector
- Cr_T
a numeric vector
- Cs_T
a numeric vector
- Cu_T
a numeric vector
- Ga_T
a numeric vector
- Hf_T
a numeric vector
- La_T
a numeric vector
- Mo_T
a numeric vector
- Nb_T
a numeric vector
- Ni_T
a numeric vector
- Pb_T
a numeric vector
- Rb_T
a numeric vector
- Sb_T
a numeric vector
- Sc_T
a numeric vector
- Sn_T
a numeric vector
- Sr_T
a numeric vector
- Ta_T
a numeric vector
- Th_T
a numeric vector
- U_T
a numeric vector
- V_T
a numeric vector
- W_T
a numeric vector
- Y_T
a numeric vector
- Zn_T
a numeric vector
- Zr_T
a numeric vector
Source
BSS Project in Northern Europe
References
Reimann C, Siewers U, Tarvainen T, Bityukova L, Eriksson J, Gilucis A, Gregorauskiene V, Lukashev VK, Matinian NN, Pasieczna A. Agricultural Soils in Northern Europe: A Geochemical Atlas. Geologisches Jahrbuch, Sonderhefte, Reihe D, Heft SD 5, Schweizerbart'sche Verlagsbuchhandlung, Stuttgart, 2003.
Examples
data(bsstop)
# classical versus robust correlation
corr.plot(log(bsstop[, "Al2O3_T"]), log(bsstop[, "Na2O_T"]))