Comparison of mathematical methods of geochemical data processing

Abstract

We have analyzed the data on concentration of geochemical elements within the 3- DV regional geochemical field. We have determined the fractal dimension index of spider diagrams and found the fractal nature of the distribution of chemical elements along the profile. We have compared these data with the results of the correlation analysis and hierarchical clustering methods. The agreement between the grouping of the elements according to the values of fractal dimension and the results of statistical analysis method was considered satisfactory.

Original language	English
Title of host publication	IOP Conference Series: Materials Science and Engineering
Publisher	Institute of Physics Publishing
Volume	91
Edition	1
DOIs	https://doi.org/10.1088/1757-899X/91/1/012083
Publication status	Published - 14 Sep 2015
Event	6th International Scientific Practical Conference on Innovative Technologies and Economics in Engineering - Yurga, Russian Federation Duration: 21 May 2015 → 23 May 2015

Other

Other	6th International Scientific Practical Conference on Innovative Technologies and Economics in Engineering
Country	Russian Federation
City	Yurga
Period	21.5.15 → 23.5.15

ASJC Scopus subject areas

Engineering(all)
Materials Science(all)

Access to Document

10.1088/1757-899X/91/1/012083

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Comparison of mathematical methods of geochemical data processing. / Marfin, A.; Lychagin, D. V.; Shapovalov, Aleksandr Vasilievich; Alfyorova, Ekaterina Alexandrovna.

IOP Conference Series: Materials Science and Engineering. Vol. 91 1. ed. Institute of Physics Publishing, 2015. 012083.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Marfin, A, Lychagin, DV, Shapovalov, AV & Alfyorova, EA 2015, Comparison of mathematical methods of geochemical data processing. in IOP Conference Series: Materials Science and Engineering. 1 edn, vol. 91, 012083, Institute of Physics Publishing, 6th International Scientific Practical Conference on Innovative Technologies and Economics in Engineering, Yurga, Russian Federation, 21.5.15. https://doi.org/10.1088/1757-899X/91/1/012083

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