chorizon: C-horizon of the Kola Data

Description Usage Format Author(s) Source References Examples

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

1

Format

A data frame with 606 observations on the following 111 variables.

ID

a numeric vector

XCOO

a numeric vector

YCOO

a numeric vector

ELEV

a numeric vector

COUN

a factor with levels FIN NOR RUS

ASP

a factor with levels E FLAT N NE NW NW S SE SW W

TOPC

a numeric vector

LITO

a numeric vector

Ag

a numeric vector

Ag_INAA

a numeric vector

Al

a numeric vector

Al_XRF

a numeric vector

Al2O3

a numeric vector

As

a numeric vector

As_INAA

a numeric vector

Au

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

Ca_XRF

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

Cr

a numeric vector

Cr_INAA

a numeric vector

Cs_INAA

a numeric vector

Cu

a numeric vector

EC

a numeric vector

Eu_INAA

a numeric vector

F_IC

a numeric vector

Fe

a numeric vector

Fe_INAA

a numeric vector

Fe_XRF

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

K_XRF

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

Mg

a numeric vector

Mg_XRF

a numeric vector

MgO

a numeric vector

Mn

a numeric vector

Mn_XRF

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

Na_XRF

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

P_XRF

a numeric vector

P2O5

a numeric vector

Pb

a numeric vector

Pd

a numeric vector

pH

a numeric vector

PO4_IC

a numeric vector

Pt

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

Si_XRF

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

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

Ti_XRF

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

Author(s)

Peter Filzmoser <P.Filzmoser@tuwien.ac.at> http://cstat.tuwien.ac.at/filz/

Source

Kola Project (1993-1998)

References

Reimann C, ?yr?s M, Chekushin V, Bogatyrev I, Boyd R, Caritat P de, Dutter R, Finne TE, Halleraker JH, J?ger ?, Kashulina G, Lehto O, Niskavaara H, Pavlov V, R?is?nen 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

1
2

Example output

Loading required package: geoR
--------------------------------------------------------------
 Analysis of Geostatistical Data
 For an Introduction to geoR go to http://www.leg.ufpr.br/geoR
 geoR version 1.7-5.2.1 (built on 2016-05-02) is now loaded
--------------------------------------------------------------

Loading required package: sgeostat
Warning messages:
1: no DISPLAY variable so Tk is not available 
2: In rgl.init(initValue, onlyNULL) : RGL: unable to open X11 display
3: 'rgl_init' failed, running with rgl.useNULL = TRUE 
4: .onUnload failed in unloadNamespace() for 'rgl', details:
  call: fun(...)
  error: object 'rgl_quit' not found 
'data.frame':	605 obs. of  111 variables:
 $ ID     : int  1 2 3 4 5 6 7 9 10 11 ...
 $ XCOO   : int  547960 770025 498651 795152 437050 752106 531687 752013 688999 489804 ...
 $ YCOO   : int  7690000 7680000 7670000 7570000 7860000 7630000 7630000 7690000 7610000 7650000 ...
 $ ELEV   : int  135 140 255 240 80 140 195 120 90 180 ...
 $ COUN   : Factor w/ 3 levels "FIN","NOR","RUS": 1 3 1 3 2 3 1 3 3 1 ...
 $ ASP    : Factor w/ 11 levels "","E","FLAT",..: 6 10 4 5 4 2 2 3 3 9 ...
 $ TOPC   : int  35 52 52 40 50 42 34 17 38 26 ...
 $ LITO   : int  20 4 31 20 10 20 31 4 1 31 ...
 $ Ag     : num  0.01 0.01 0.021 0.022 0.023 0.007 0.027 0.012 0.004 0.013 ...
 $ Ag_INAA: num  2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 2.5 ...
 $ Al     : int  10200 3540 16100 12000 9850 5120 13900 14600 7800 9510 ...
 $ Al_XRF : int  75100 74400 80600 79300 72800 74100 73500 79000 79300 77500 ...
 $ Al2O3  : num  14.2 14.1 15.2 15 13.8 ...
 $ As     : num  0.3 0.2 0.4 0.3 2.2 0.2 0.9 1.4 0.2 0.3 ...
 $ As_INAA: num  0.25 0.25 0.25 1.9 0.25 0.25 0.25 0.25 0.25 0.25 ...
 $ Au     : num  1.344 0.444 1.607 0.713 0.898 ...
 $ Au_INAA: num  0.001 0.001 0.002 0.001 0.007 0.006 0.001 0.001 0.001 0.001 ...
 $ B      : num  1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 3 ...
 $ Ba     : num  40.6 24.2 170 52.5 30.3 28.5 71.6 70.4 51.1 48.1 ...
 $ Ba_INAA: int  380 440 720 400 660 480 510 610 530 600 ...
 $ Be     : num  0.28 0.09 0.51 0.14 0.33 0.12 0.42 0.28 0.13 0.3 ...
 $ Bi     : num  0.061 0.015 0.011 0.014 0.234 0.011 0.023 0.069 0.0025 0.013 ...
 $ Br_IC  : num  0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 0.001 ...
 $ Br_INAA: num  6.2 3.3 0.25 6 27 4 0.25 14 5.5 0.25 ...
 $ Ca     : int  2280 1720 2240 3300 1120 1710 1190 2810 4590 2670 ...
 $ Ca_INAA: int  40000 40000 20000 40000 5000 20000 20000 20000 60000 30000 ...
 $ Ca_XRF : int  25100 24000 18100 33400 7200 26000 16700 22700 43800 24200 ...
 $ CaO    : num  3.52 3.36 2.54 4.68 1.01 3.64 2.34 3.18 6.14 3.4 ...
 $ Cd     : num  0.025 0.01 0.033 0.038 0.02 0.015 0.04 0.031 0.019 0.026 ...
 $ Ce_INAA: int  41 44 100 37 200 36 55 64 47 63 ...
 $ Cl_IC  : num  0.001 0.001 0.001 0.001 0.003 0.001 0.003 0.002 0.001 0.001 ...
 $ Co     : num  8.8 3.3 9.1 7.8 10.5 6.1 8.4 8.7 6.2 5.4 ...
 $ Co_INAA: num  18 8 13 20 12 13 17 12 25 13 ...
 $ Cr     : num  20.1 16.9 38 31.2 9.9 23.8 33.9 40.8 40.9 24.4 ...
 $ Cr_INAA: int  75 68 100 250 37 110 130 96 300 120 ...
 $ Cs_INAA: num  0.5 0.5 0.5 0.5 4 0.5 0.5 0.5 0.5 0.5 ...
 $ Cu     : num  41.6 8 23 23.7 23.9 16 16.3 36 17.7 12.8 ...
 $ EC     : num  0.19 0.14 0.21 0.16 0.3 0.15 0.32 0.39 0.14 0.16 ...
 $ Eu_INAA: num  0.9 1 1.7 0.8 2 0.8 1.1 1.3 1.5 1.4 ...
 $ F_IC   : num  5e-04 5e-04 5e-04 5e-04 5e-04 5e-04 5e-04 5e-04 5e-04 5e-04 ...
 $ Fe     : int  15000 8530 18200 10500 20900 11200 16000 17200 13300 10500 ...
 $ Fe_INAA: int  43000 24200 48400 39300 53100 28200 44700 31500 67400 46900 ...
 $ Fe_XRF : int  34700 22900 43400 38400 51500 28700 41900 31100 56500 43300 ...
 $ Fe2O3  : num  4.97 3.28 6.21 5.5 7.37 4.11 6 4.46 8.09 6.2 ...
 $ Hf_INAA: int  4 6 7 5 13 5 6 8 11 6 ...
 $ Hg     : num  0.02 0.01 0.02 0.01 0.03 0.01 0.02 0.02 0.01 0.01 ...
 $ Hg_INAA: num  0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ...
 $ Ir_INAA: num  0.0025 0.0025 0.0025 0.0025 0.0025 0.0025 0.0025 0.0025 0.0025 0.0025 ...
 $ K      : int  1300 600 3000 1400 2800 1000 1300 1900 1200 900 ...
 $ K_XRF  : int  16200 10700 17200 11200 21900 10800 16500 14600 8500 13800 ...
 $ K2O    : num  1.96 1.29 2.08 1.35 2.64 1.31 1.99 1.76 1.03 1.67 ...
 $ La     : num  8.5 9.2 19.7 9.4 42 7.9 12 18 12.5 13 ...
 $ La_INAA: num  15 23 52 18 64 20 30 29 25 33 ...
 $ Li     : num  12.4 3 6.5 6.2 11.3 4.6 5.3 14.7 3.1 3.6 ...
 $ LOI    : num  1.72 0.49 1.69 1.52 3.16 0.78 2.39 2.91 0.76 0.82 ...
 $ Lu_INAA: num  0.3 0.19 0.51 0.26 2.38 0.23 0.53 0.3 0.69 0.56 ...
 $ Mg     : int  4560 1560 5780 4170 3280 3460 3420 5100 3290 2910 ...
 $ Mg_XRF : int  11400 7200 13800 19600 5100 11600 13500 10700 23200 15300 ...
 $ MgO    : num  1.9 1.21 2.29 3.26 0.86 1.93 2.24 1.78 3.86 2.54 ...
 $ Mn     : num  170 59.3 102 102 146 82 155 159 115 82.1 ...
 $ Mn_XRF : int  540 380 540 690 1310 540 610 540 920 610 ...
 $ MnO    : num  0.07 0.05 0.07 0.09 0.17 0.07 0.08 0.07 0.12 0.08 ...
 $ Mo     : num  0.4 0.1 0.1 0.1 1.1 0.1 0.3 0.1 0.1 0.1 ...
 $ Mo_INAA: num  0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ...
 $ Na     : int  140 140 300 510 40 140 130 270 490 440 ...
 $ Na_INAA: int  31000 35800 18300 26200 11600 31300 18600 29700 27800 22900 ...
 $ Na_XRF : int  27600 29300 15500 23700 9200 27100 15000 27500 23100 19800 ...
 $ Na2O   : num  3.73 3.96 2.09 3.2 1.25 3.66 2.03 3.72 3.12 2.68 ...
 $ Nd_INAA: num  14 16 36 16 50 17 20 27 18 22 ...
 $ Ni     : num  16.6 10.4 26.1 32.6 13.9 31 22.5 29.2 22.2 14.8 ...
 $ Ni_INAA: int  10 10 10 10 10 10 10 10 10 10 ...
 $ NO3_IC : num  5e-04 5e-04 5e-04 5e-04 5e-04 5e-04 5e-04 5e-04 5e-04 5e-04 ...
 $ P      : int  324 428 631 359 580 447 268 552 861 325 ...
 $ P_XRF  : int  340 430 690 390 610 430 300 610 740 390 ...
 $ P2O5   : num  0.08 0.1 0.16 0.09 0.14 0.1 0.07 0.14 0.17 0.09 ...
 $ Pb     : num  5.7 1 1.6 1 8.9 0.7 1.7 1.9 0.8 1.2 ...
 $ Pd     : num  1.843 0.1 1.074 2.057 0.475 ...
 $ pH     : num  5.8 5.8 6.1 6.1 5.9 5.9 5.9 5.3 5.6 5.7 ...
 $ PO4_IC : num  0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 0.002 ...
 $ Pt     : num  0.832 0.591 1.049 1.01 0.25 ...
 $ Rb     : num  55 30 57 54 130 26 43 53 7.5 49 ...
 $ S      : num  52 11 38 26 51 23 32 83 20 18 ...
 $ Sb     : num  0.013 0.005 0.013 0.005 0.108 0.005 0.014 0.005 0.005 0.005 ...
 $ Sb_INAA: num  0.05 0.05 0.05 0.3 0.05 0.05 0.3 0.05 0.05 0.05 ...
 $ Sc     : num  2.4 1.1 3.4 2.1 1.8 1.5 2.6 3.2 2.1 2.3 ...
 $ Sc_INAA: num  17 10 19 17 21 11 19 13 28 21 ...
 $ Se     : num  0.059 0.005 0.05 0.024 0.28 0.03 0.097 0.056 0.011 0.017 ...
 $ Se_INAA: num  1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 1.5 ...
 $ Si     : int  140 110 180 190 110 160 130 130 180 270 ...
 $ Si_XRF : int  308500 332400 303900 298200 320000 323200 316100 305600 282800 315000 ...
 $ SiO2   : num  66 71.1 65 63.8 68.5 ...
 $ Sm_INAA: num  2.6 3 6.8 2.8 9.7 2.8 4.2 4.6 5 4.7 ...
 $ Sn_INAA: int  50 50 50 50 50 50 50 50 50 50 ...
 $ SO4_IC : int  2 2 3 4 4 5 9 19 1 4 ...
 $ Sr     : num  6.3 6.6 15 12.3 3.7 5.2 6.1 11.8 12.5 11.2 ...
 $ Sr_INAA: int  250 250 250 250 250 250 250 600 250 600 ...
 $ Ta_INAA: num  0.25 0.25 0.25 0.25 0.8 0.25 0.25 0.25 0.25 0.25 ...
 $ Tb_INAA: num  0.25 0.25 0.25 0.25 1.5 0.7 0.25 0.25 1 0.25 ...
 $ Te     : num  0.008 0.0015 0.022 0.0015 0.015 0.0015 0.01 0.006 0.008 0.008 ...
  [list output truncated]

StatDA documentation built on March 13, 2020, 2:42 a.m.

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