Deep-Sea Trenches of the Pacific Ocean: a Comparative Analysis of the Submarine Geomorphology Using Data Modeling by GMT, Python and R

• Main Author: Lemenkova, Polina
• Format: Thesis
• Language: English
• Published: Zenodo 2021
• Subjects: data analysis; programming language; machine learning; deep learning; statistics; spatial analysis; statistical analysis; Earth science; Computer science; deep-sea trench; Pacific Ocean; geoinformatics; R; Python; GMT; scripting; cartography; algorithm; bathymetry; oceanography; geophysics; geology; big data; Pacific; Tonga; Kamchatka
• Online Access: https://dx.doi.org/10.5281/zenodo.4892141; https://zenodo.org/record/4892141

Geomorphological landforms of the oceanic trenches, their formation and variation of the geometric shapes is a question of special importance to the scientific community in marine geology. The actuality of this question has significantly increased since the beginning of the rapid development of the...