Compositional data analysis in the study of integrated geochemical anomalies associated with mineralization

Applied Geochemistry

Volumn 28, Issue , 2013, Pages 202-211

  Zuo, Renguang ^a   Xia, Qinglin ^a   Wang, Haicheng ^a  

^a CHINA UNIVERSITY OF GEOSCIENCES   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPOSITIONAL DATA; DATA SETS; FRACTAL MODEL; FUJIAN PROVINCE; GEOCHEMICAL ANOMALY; GEOCHEMICAL DATA; GEOCHEMICAL PATTERNS; MULTI-PROCESSES; MULTIVARIATE DATA ANALYSIS; POLYMETALLIC; ROBUST PRINCIPAL COMPONENT ANALYSIS; STREAM SEDIMENTS; UNIVARIATE;

FRACTALS; MINERALOGY; MULTIVARIANT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS;

ANALYTICAL GEOCHEMISTRY;

CHEMICAL COMPOSITION; COPPER; DATA INTERPRETATION; DATA SET; DECOMPOSITION ANALYSIS; E REGION; FLUVIAL DEPOSIT; MINERALIZATION; PRINCIPAL COMPONENT ANALYSIS; SEDIMENT CHEMISTRY;

CHINA; FUJIAN;

EID: 84871933640     PISSN: 08832927     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apgeochem.2012.10.031     Document Type: Article

References (70)

1. Afzal P., Fadakar Alghalandis Y., Khakzad A., Moarefvand P., Rashidnejad Omran N. Delineation of mineralization zones in porphyry Cu deposits by fractal concentration-volume modeling. J. Geochem. Explor. 2011, 18:220-232.
2. Aitchison J. The Statistical Analysis of Compositional Data 1986, Chapman & Hall, London.
3. Aitchison J., Barceló-Vidal C., Martín-Fernández J., Pawlowsky-Glahn V. Logratio analysis and compositional distance. Math. Geol. 2000, 32:271-275.
4. Bölviken B., Stokke P.R., Feder J., Jössang T. The fractal nature of geochemical landscapes. J. Geochem. Explor. 1992, 43:91-109.
5. Bounessaha M., Atkin B.P. An application of exploratory data analysis (EDA) as a robust non-parametric technique for geochemical mapping in a semi-arid climate. Appl. Geochem. 2003, 18:1185-1195.
6. Box G.E.P., Cox D.R. An analysis of transformations. J. Roy. Stat. Soc, Ser. B 1964, 26:211-252.
7. Carranza, E.J.M., 2008. Geochemical Anomaly and Mineral Prospectivity Mapping in GIS. Handbook of Exploration and Environmental Geochemistry, vol. 11. Elsevier, Amsterdam.
8. Carranza E.J.M. Mapping of anomalies in continuous and discrete fields of stream sediment geochemical landscapes. Geochem.: Explor. Environ., Anal. 2010, 10:171-187.
9. Carranza E.J.M. Catchment basin modelling of stream sediment anomalies revisited: incorporation of EDA and fractal analysis. Geochem.: Explor. Environ., Anal. 2010, 10:365-381.
10. Carranza E.J.M. Analysis and mapping of geochemical anomalies using logratio-transformed stream sediment data with censored values. J. Geochem. Explor. 2011, 110:167-185.
11. Cheng, Q., 1999. Multifractal interpolation. In: Lippard, S.J. Naess, A., Sinding-Larsen, R. (Eds.), Proc. Ann. Conf. International Association for Mathematical Geology, Trondheim, Norway 6-11 August 1999, vol. 1. Norwegian University of Science and Technology, Trondheim, pp. 245-250.
12. Cheng, Q., 2000a. Interpolation by means of multiftractal, kriging and moving average techniques. GeoCanada 2000. In: Proc. GAC/MAC Meeting, Calgary, AB, Canada [CDROM], 29 May-2 June 2000, Geol. Assoc. Can., St. John's, NF, Canada.
13. Cheng, Q., 2000b. GeoData Analysis System (GeoDAS) for Mineral Exploration: Unpublished User's Guide and Exercise Manual. Material for the Training Workshop on GeoDAS held at York University.
14. Cheng Q. Mapping singularities with stream sediment geochemical data for prediction of undiscovered mineral deposits in Gejiu, Yunnan Province, China. Ore Geol. Rev. 2007, 32:314-324.
15. Cheng Q. Modeling local scaling properties for multiscale mapping. Vadose Zone J. 2008, 7:525-532.
16. Cheng Q. Singularity theory and methods for mapping geochemical anomalies caused by buried sources and for predicting undiscovered mineral deposits in covered areas. J. Geochem. Explor. 2012, 122:55-60.
17. Cheng Q., Agterberg F.P. Singularity analysis of ore-mineral and toxic trace elements in stream sediments. Comput. Geosci. 2009, 35:234-244.
18. Cheng Q., Agterberg F.P., Ballantyne S.B. The separation of geochemical anomalies from background by fractal methods. J. Geochem. Explor. 1994, 51:109-130.
19. Cheng, Q., Xu, Y., Grunsky, E., 1999. Integrated spatial and spectral analysis for geochemical anomaly separation. In: Proc. Ann. Conf. International Association for Mathematical Geology, Trondheim, Norway, 6-11 August 1999, vol. 1. Norwegian University of Science and Technology, Trondheim, pp. 87-92.
20. Cheng Q., Xu Y., Grunsky E. Integrated spatial and spectrum method for geochemical anomaly separation. Nat. Resour. Res. 2000, 9:43-51.
21. Cheng Q., Xia Q., Li W., Zhang S., Chen Z., Zuo R., Wang W. Density/area power-law models for separating multi-scale anomalies of ore and toxic elements in stream sediments in Gejiu mineral district, Yunnan Province, China. Biogeosciences 2010, 7:3019-3025.
22. Chiprés J.A., Castro-Larragoitia J., Monroy M.G. Exploratory and spatial data analysis (EDA-SDA) for determining regional background levels and anomalies of potentially toxic elements in soils from Catorce-Matehuala, Mexico. Appl. Geochem. 2009, 24:1579-1589.
23. Cicchella D., De Vivo B., Lima A. Background and baseline concentration values of elements harmful to human health in the volcanic soils of the metropolitan and provincial areas of Napoli (Italy). Geochem.: Explor. Environ., Anal. 2005, 5:29-40.
24. Cicchella D., De Vivo B., Lima A., Albanese S., Fedele L. Urban geochemical mapping in the Campania region (Italy). Geochem.: Explor. Environ., Anal. 2008, 8:19-29.
25. Egozcue J.J., Pawlowsky-Glahn V., Mateu-Figueras G., BarceloVidal C. Isometric logratiotrans formations for compositional data analysis. Math. Geol. 2003, 35:279-300.
26. Fedele L., Plant J.A., De Vivo B., Lima A. The rare earth element distribution over Europe: geogenic and anthropogenic sources. Geochem.: Explor. Environ., Anal. 2008, 8:3-18.
27. Filzmoser P., Hron K. Outlier detection for compositional data using robust methods. Math. Geosci. 2008, 40:233-248.
28. Filzmoser P., Hron K. Correlation analysis for compositional data. Math. Geosci. 2009, 41:905-919.
29. Filzmoser P., Hron K., Reimann C. Univariate statistical analysis of environmental (compositional) data: Problems and possibilities. Sci. Total Environ. 2009, 407:6100-6108.
30. Filzmoser P., Hron K., Reimann C. Principal component analysis for compositional data with outliers. Environmetrics 2009, 20:621-632.
31. Filzmoser P., Hron K., Reimann C. The bivariate statistical analysis of environmental (compositional) data. Sci. Total Environ. 2010, 408:4230-4238.
32. Frattini P., De Vivo B., Lima A., Cicchella D. Elemental and gamma-ray surveys in the volcanic soils of Ischia Island, Italy. Geochem. Explor. Environ. Anal. 2006, 6:325-339.
33. Johnson, R.A., Wichern, D.W., 2002. Applied Multivariate Statistical Analysis, 5th ed. Prentice Hall, Upper Saddle River, New Jersey, USA.
34. Kaiser H.F. The Varimax criterion for analytic rotation in factor analysis. Psychometrika 1958, 23:187-200.
35. Kürzl H. Exploratory data analysis: recent advances for the interpretation of geochemical data. J. Geochem. Explor. 1988, 30:309-322.
36. Li C., Ma T., Shi J. Application of a fractal method relating concentrations and distances for separation of geochemical anomalies from background. J. Geochem. Explor. 2003, 77:167-175.
37. Lima A., De Vivo B., Cicchella D., Cortini M., Albanese S. Multifractal IDW interpolation and fractal filtering method in environmental studies: an application on regional stream sediments of (Italy), Campania region. Appl. Geochem. 2003, 18:1853-1865.
38. Lima A., Plant J.A., De Vivo B., Tarvainen T., Albanese S., Cicchella D. Interpolation methods for geochemical maps: a comparative study using arsenic data from European stream waters. Geochem.: Explor. Environ., Anal. 2008, 8:41-48.
39. Mandelbrot B.B. The Fractal Geometry of Nature 1983, Freeman, San Francisco, 468.
40. Matheron G. Traité de Géostatistque Appliquée. Mém. Bur. Rech. Géol. Minières 1962, 667:333.
41. O'Connor, P.J., Reimann, C., Kürzl, H., 1988. An application of exploratory data analysis techniques to stream sediment surveys for gold and associated elements in County Donegal, Ireland. In: Macdonald, D.R., Mills, K.A. (Eds.), Prospecting in Areas of Glaciated Terrain 1988. The Canadian Institute of, Mining and Metallurgy, pp. 449-467.
42. Panahi A., Cheng Q., Bonham-Carter G.F. Modelling lake sediment geochemical distribution using principal component, indicator kriging and multifractal power-spectrum analysis: a case study from Gowganda, Ontario. Geochem. Explor. Environ. Anal. 2004, 4:59-70.
43. Panahi A., Cheng Q., Chen Z. Multifractal power spectrum and singularity analysis for modelling stream sediment geochemical distribution patterns to identify anomalies related to gold mineralization in Yunnan Province, South China. Geochem. Explor. Environ. Anal. 2007, 7:293-301.
44. Pazand K., Hezarkhani A., Ataei M., Ghanbari Y. Application of multifractal modeling technique in systematic geochemical stream sediment survey to identify copper anomalies: a case study from Ahar, Azarbaijan, Northwest Iran. Chem. Erde - Geochem. 2011, 71:397-402.
45. Rantitsch G. The fractal properties of geochemical landscapes as an indicator of weathering and transport processes within the Eastern Alps. J. Geochem. Explor. 2001, 73:27-42.
46. Reimann C. Geochemical mapping: technique or art?. Geochem.: Explor. Environ., Anal. 2005, 5:359-370.
47. Reimann C. Sub-continental-scale geochemical mapping: sampling, quality control and data analysis issues. Geochem.: Explor. Environ., Anal. 2005, 5:311-323.
48. Reimann C., Filzmoser P. Normal and lognormal data distribution in geochemistry: death of a myth. Consequences for the statistical treatment of geochemical and environmental data. Environ. Geol. 2000, 39:1001-1014.
49. Reimann, C., Filzmoser, P., Garrett, R.G., Dutter, R., 2008. Statistical Data Analysis Explained. Applied Environmental Statistics with R. Wiley, Chichester, UK.
50. Reimann C., Filzmoser P., Fabian K., Hron K., Birke M., Demetriades A., Dinelli E., Ladenberger A., The GEMAS Project Team The concept of compositional data analysis in practice - total major element concentrations in agricultural and grazing land soils of Europe. Sci. Total Environ. 2012, 426:196-210.
51. Rocha, W.F.C., Nogueira, R., Silva, G.E.B., Queiroz, S.M., Sarmanho, G.F., 2012. A comparison of three procedures for robust PCA of experimental results of the homogeneity test of a new sodium diclofenac candidate certified reference material. Microchem. J. doi: doi:10.1016/j.microc.2012.03.028.
52. Rousseeuw P.J., Van Driessen K. A fast algorithm for the minimum covariance determinant estimator. Technometrics 1999, 41:212-223.
53. Sinclair A.J. Selection of thresholds in geochemical data using probability graphs. J. Geochem. Explor. 1974, 3:129-149.
54. Sinclair A.J. Applications of Probability Graphs in Mineral Exploration 1976, The Association of Exploration Geochemists, Rexdale, Ontario.
55. Templ, M., Hron, K., Filzmoser, P., 2012. robCompositions: Robust Estimation for Compositional Data, R Package Version 1.2. http://cran.r-project.org/web/packages/robCompositions/index.html.
56. Tukey J.W. Exploratory Data Analysis 1977, Addison-Wesley, Reading, USA.
57. Vistelius A.B. The skew frequency distributions and the fundamental law of the geochemical processes. J. Geol. 1960, 68:1-22.
58. Wang W., Zhao J., Cheng Q. Analysis and integration of geo-information to identify granitic intrusions as exploration targets in southeastern Yunnan District, China. Comput. Geosci. 2011, 37:1946-1957.
59. Wang G., Carranza E.J.M., Zuo R., Hao Y., Du Y., Pang Z., Sun Y., Qu J. Mapping of district-scale potential targets using fractal models. J. Geochem. Explor. 2012, 122:34-46.
60. Xie S., Bao Z. Fractal and multifractal properties of geochemical fields. Math. Geol. 2004, 36:847-864.
61. Xie S., Cheng Q., Chen G., Chen Z., Bao Z. Application of local singularity in prospecting potential oil/gas Targets. Nonlinear Process. Geophys. 2007, 14:285-292.
62. Xu Y., Cheng Q. A fractal filtering technique for processing regional geochemical maps for mineral exploration. Geochem.: Explor. Environ., Anal. 2001, 1:147-156.
63. Yusta I., Velasco F., Herrero J. Anomaly threshold estimation and data normalization using EDA statistics: application to lithogeochemical exploration in Lower Cretaceous Zn-Pb carbonate-hosted deposits, Northern Spain. Appl. Geochem. 1998, 13:421-439.
64. Zuo R. Decomposing of mixed pattern of arsenic using fractal model in Gangdese belt, Tibet, China. Appl. Geochem. 2011, 26:S271-S273.
65. Zuo R. Identifying geochemical anomalies associated with Cu and Pb-Zn skarn mineralization using principal component analysis and spectrum-area fractal modeling in the Gangdese Belt, Tibet (China). J. Geochem. Explor. 2011, 111:13-22.
66. Zuo R., Cheng Q. Mapping singularities - a technique to identify potential Cu mineral deposits using sediment geochemical data, an example for Tibet, west China. Mineral. Mag. 2008, 72:531-534.
67. Zuo R., Xia Q. Application fractal and multifractal methods to mapping prospectivity for metamorphosed sedimentary iron deposits using stream sediment geochemical data in eastern Hebei province, China. Geochim. Cosmochim. Acta 2009, 73:A1540.
68. Zuo R., Cheng Q., Agterberg F.P., Xia Q. Application of singularity mapping technique to identification local anomalies using stream sediment geochemical data, a case study from Gangdese, Tibet, Western China. J. Geochem. Explor. 2009, 101:225-235.
69. Zuo R., Cheng Q., Xia Q., Agterberg F.P. Application of fractal models to characterization of vertical distribution of geochemical element concentration. J. Geochem. Explor. 2009, 102:37-43.
70. Zuo R., Carranza E.J.M., Cheng Q. Fractal/multifractal modelling of geochemical exploration data. J. Geochem. Explor. 2012, 122:1-3.