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chorizon

C-horizon of the Kola Data


Description

The Kola Data were collected in the Kola Project (1993-1998, Geological Surveys of Finland (GTK) and Norway (NGU) and Central Kola Expedition (CKE), Russia). More than 600 samples in five different layers were analysed, this dataset contains the C-horizon.

Usage

data(chorizon)

Format

A data frame with 606 observations on the following 110 variables.

ID

a numeric vector

XCOO

a numeric vector

YCOO

a numeric vector

Ag

a numeric vector

Ag_INAA

a numeric vector

Al

a numeric vector

Al2O3

a numeric vector

As

a numeric vector

As_INAA

a numeric vector

Au_INAA

a numeric vector

B

a numeric vector

Ba

a numeric vector

Ba_INAA

a numeric vector

Be

a numeric vector

Bi

a numeric vector

Br_IC

a numeric vector

Br_INAA

a numeric vector

Ca

a numeric vector

Ca_INAA

a numeric vector

CaO

a numeric vector

Cd

a numeric vector

Ce_INAA

a numeric vector

Cl_IC

a numeric vector

Co

a numeric vector

Co_INAA

a numeric vector

EC

a numeric vector

Cr

a numeric vector

Cr_INAA

a numeric vector

Cs_INAA

a numeric vector

Cu

a numeric vector

Eu_INAA

a numeric vector

F_IC

a numeric vector

Fe

a numeric vector

Fe_INAA

a numeric vector

Fe2O3

a numeric vector

Hf_INAA

a numeric vector

Hg

a numeric vector

Hg_INAA

a numeric vector

Ir_INAA

a numeric vector

K

a numeric vector

K2O

a numeric vector

La

a numeric vector

La_INAA

a numeric vector

Li

a numeric vector

LOI

a numeric vector

Lu_INAA

a numeric vector

wt_INAA

a numeric vector

Mg

a numeric vector

MgO

a numeric vector

Mn

a numeric vector

MnO

a numeric vector

Mo

a numeric vector

Mo_INAA

a numeric vector

Na

a numeric vector

Na_INAA

a numeric vector

Na2O

a numeric vector

Nd_INAA

a numeric vector

Ni

a numeric vector

Ni_INAA

a numeric vector

NO3_IC

a numeric vector

P

a numeric vector

P2O5

a numeric vector

Pb

a numeric vector

pH

a numeric vector

PO4_IC

a numeric vector

Rb

a numeric vector

S

a numeric vector

Sb

a numeric vector

Sb_INAA

a numeric vector

Sc

a numeric vector

Sc_INAA

a numeric vector

Se

a numeric vector

Se_INAA

a numeric vector

Si

a numeric vector

SiO2

a numeric vector

Sm_INAA

a numeric vector

Sn_INAA

a numeric vector

SO4_IC

a numeric vector

Sr

a numeric vector

Sr_INAA

a numeric vector

SUM_XRF

a numeric vector

Ta_INAA

a numeric vector

Tb_INAA

a numeric vector

Te

a numeric vector

Th

a numeric vector

Th_INAA

a numeric vector

Ti

a numeric vector

TiO2

a numeric vector

U_INAA

a numeric vector

V

a numeric vector

W_INAA

a numeric vector

Y

a numeric vector

Yb_INAA

a numeric vector

Zn

a numeric vector

Zn_INAA

a numeric vector

ELEV

a numeric vector

COUN

a numeric vector

ASP

a numeric vector

TOPC

a numeric vector

LITO

a numeric vector

Al_XRF

a numeric vector

Ca_XRF

a numeric vector

Fe_XRF

a numeric vector

K_XRF

a numeric vector

Mg_XRF

a numeric vector

Mn_XRF

a numeric vector

Na_XRF

a numeric vector

P_XRF

a numeric vector

Si_XRF

a numeric vector

Ti_XRF

a numeric vector

Source

Kola Project (1993-1998)

References

Reimann C, Äyräs M, Chekushin V, Bogatyrev I, Boyd R, Caritat P de, Dutter R, Finne TE, Halleraker JH, Jæger Ø, Kashulina G, Lehto O, Niskavaara H, Pavlov V, Räisänen ML, Strand T, Volden T. Environmental Geochemical Atlas of the Central Barents Region. NGU-GTK-CKE Special Publication, Geological Survey of Norway, Trondheim, Norway, 1998.

Examples

data(chorizon)
# classical versus robust correlation
corr.plot(log(chorizon[,"Al"]), log(chorizon[,"Na"]))

mvoutlier

Multivariate Outlier Detection Based on Robust Methods

v2.0.9
GPL (>= 3)
Authors
Peter Filzmoser <P.Filzmoser@tuwien.ac.at> and Moritz Gschwandtner <e0125439@student.tuwien.ac.at>
Initial release
2018-02-08

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