R Scripting Libraries for Comparative Analysis of the Correlation Methods to Identify Factors Affecting Mariana Trench Formation

Journal of Marine Technology and Environment 2 (Nov. 2018). Ed. by M. Panaitescu and F. Memet. eISSN = 1884-6116, pp. 35– 42. issn: 1844-6116. arXiv: 1812.01099 [physics.geo-ph]. url: http://cmu-edu.eu/jmte . doi:10.6084/m9.figshare.7434167.v1

8 Pages Posted: 27 Dec 2018

Date Written: November 1, 2018

Abstract

Mariana trench is the deepest place on the Earth. It crosses four tectonic plates of the Pacific Ocean: Mariana, Caroline, Pacific and Philippine. The formation of the trench is caused by the complex interconnection of various environmental factors. The aim of this study was to describe and characterize various impact factors affecting formation of the Mariana trench geomorphology and continental margin environments using R programming language and mathematical algorithms of correlation methods written on R code. To record the system of geological, tectonic, geographic, oceanological and bathymetric features affecting Mariana trench, a combination of statistical methods, GIS and R programming codes were applied. The questions answered are as follows: which factors are the most influencing for the Mariana trench morphology, and to what extend do they affect its development? Is sedimental thickness of the ocean trench basement more important factors for the trench formation comparing to the steepness slope angle and aspect degree? Three methods of computing were tested: Pearson correlation, Spearman correlation, Kendall correlation, numerical correlogram, correlation matrix and cross-correlatios to analyze environmental impact factors. The correlogram matrices are computed and visualized by R scripting libraries. Complex usage of programming tools, mathematical statistics and geospatial analysis enabled to get a differentiated understandings of the hadal environments of the Mariana trench. The results revealed following three types of factors having the highest score: geometric (tg° slope angle), geologic (sedimental thickness) and tectonic structure. The results furthermore indicated that tectonic plates, sedimental thickness of the trench basement and igneous volcanic areas causing earthquakes play the most essential role in the geomorphology of the trench.

Keywords: R, Programming, Statistics, Factor Analysis, Mariana Trench

JEL Classification: C15, C10, C02, C38

Suggested Citation

Lemenkova, Polina, R Scripting Libraries for Comparative Analysis of the Correlation Methods to Identify Factors Affecting Mariana Trench Formation (November 1, 2018). Journal of Marine Technology and Environment 2 (Nov. 2018). Ed. by M. Panaitescu and F. Memet. eISSN = 1884-6116, pp. 35– 42. issn: 1844-6116. arXiv: 1812.01099 [physics.geo-ph]. url: http://cmu-edu.eu/jmte . doi:10.6084/m9.figshare.7434167.v1. Available at SSRN: https://ssrn.com/abstract=3296836

Polina Lemenkova (Contact Author)

Ocean University of China ( email )

5 Yushan Road
Qingdao, 266003
China

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