An Empirical Study of R Applications for Data Analysis in Marine Geology

Year 2019, Volume: 8 Issue: 1, 1 - 9, 30.06.2019

Polina Lemenkova

https://doi.org/10.33714/masteb.486678

Cited By: 11

Abstract

The study focuses on the application of R
programming language towards marine geological research with a case study of
Mariana Trench. Due to its logical and straightforward syntax, multi–functional
standard libraries, R is especially attractive to the geologists for the
scientific computing. Using R libraries, the unevenness of various factors
affecting Mariana Trench geomorphic structure has been studied. These include
sediment thickness, slope steepness, angle aspect, depth at the basement and
magmatism of the nearby areas. Methods includes using following R libraries:
{ggplot2} for regression analysis, Kernel density curves, compositional charts;
{ggalt} for Dumbbell charts for data comparison by tectonic plates, ranking dot
plots for correlation analysis; {vcd} for mosaic plots, silhouette plots for
compositional similarities among the bathymetric profiles, association plots;
{car} for ANOVA. Bathymetric GIS data processing was done in QGIS and LaTeX.
The innovativeness of the work consists in the multi–disciplinary approach
combining GIS analysis and statistical methods of R which contributes towards
studies of ocean trenches, aimed at geospatial analysis of big data.

Keywords

R programming, statistical analysis, Mariana Trench, bathymetry

Supporting Institution

China Scholarship Council (CSC), State Oceanic Administration (SOA), Marine Scholarship of China

Project Number

2016SOA002

Thanks

The study has been funded by the China Scholarship Council (CSC), State Oceanic Administration (SOA), Marine Scholarship of China [Grant # 2016SOA002, 2016].

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