Research Article

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

Volume: 8 Number: 1 June 30, 2019
EN

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

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

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].

References

  1. Butuzova, G. Y. (2003). Hydrothermal–Sedimentary Ore Formation in the World Ocean. Geos, Moscow, Russia. 136p.
  2. Dubinin, E. P. & Ushakov, S. A. (2001). Oceanic Rift Genesis. Geos, Moscow, Russia. 293p.
  3. Gardner, J. V., Armstrong, A. A., Calder, B. R. & Beaudoin, J. (2014). So, How Deep Is The Mariana Trench? Marine Geodesy, 37(1): 1–13.
  4. Garfunkel, Z., Anderson, C. A. & Schubert, G. (1986). Mantle Circulation and the Lateral Migration of Subducted Slabs. Journal of Geophysical Research, 91: 7205–7223.
  5. Gurevich, E. G. (1998). Metalliferous Sediments in the World Ocean. Nauchnyy Mir, Moscow, Russia. 340p.
  6. Horleston, A. C. & Helffrich, G. R. (2012). Constraining Sediment Subduction: A Converted Phase Study of the Aleutians and Marianas. Earth and Planetary Science Letters, 359–360: 141–151.
  7. Husson, L. (2012). Trench Migration and Upper Plate Strain over a Convecting Mantle. Physics of the Earth and Planetary Interiors, 212–213: 32–43.
  8. Ishibashi, J., Tsunogai, U., Toki, T., Ebina, N., Gamo, T., Sano, Y., Masuda, H. & Chiba, H. (2015). Chemical Composition of Hydrothermal Fluids in the Central and Southern Mariana Trough Backarc Basin. Deep–Sea Research Part II: Topical Studies in Oceanography, 121: 126–136.

Details

Primary Language

English

Subjects

-

Journal Section

Research Article

Publication Date

June 30, 2019

Submission Date

November 22, 2018

Acceptance Date

March 8, 2019

Published in Issue

Year 2019 Volume: 8 Number: 1

APA
Lemenkova, P. (2019). An Empirical Study of R Applications for Data Analysis in Marine Geology. Marine Science and Technology Bulletin, 8(1), 1-9. https://doi.org/10.33714/masteb.486678
AMA
1.Lemenkova P. An Empirical Study of R Applications for Data Analysis in Marine Geology. Mar. Sci. Tech. Bull. 2019;8(1):1-9. doi:10.33714/masteb.486678
Chicago
Lemenkova, Polina. 2019. “An Empirical Study of R Applications for Data Analysis in Marine Geology”. Marine Science and Technology Bulletin 8 (1): 1-9. https://doi.org/10.33714/masteb.486678.
EndNote
Lemenkova P (June 1, 2019) An Empirical Study of R Applications for Data Analysis in Marine Geology. Marine Science and Technology Bulletin 8 1 1–9.
IEEE
[1]P. Lemenkova, “An Empirical Study of R Applications for Data Analysis in Marine Geology”, Mar. Sci. Tech. Bull., vol. 8, no. 1, pp. 1–9, June 2019, doi: 10.33714/masteb.486678.
ISNAD
Lemenkova, Polina. “An Empirical Study of R Applications for Data Analysis in Marine Geology”. Marine Science and Technology Bulletin 8/1 (June 1, 2019): 1-9. https://doi.org/10.33714/masteb.486678.
JAMA
1.Lemenkova P. An Empirical Study of R Applications for Data Analysis in Marine Geology. Mar. Sci. Tech. Bull. 2019;8:1–9.
MLA
Lemenkova, Polina. “An Empirical Study of R Applications for Data Analysis in Marine Geology”. Marine Science and Technology Bulletin, vol. 8, no. 1, June 2019, pp. 1-9, doi:10.33714/masteb.486678.
Vancouver
1.Polina Lemenkova. An Empirical Study of R Applications for Data Analysis in Marine Geology. Mar. Sci. Tech. Bull. 2019 Jun. 1;8(1):1-9. doi:10.33714/masteb.486678

Cited By

27116