Geostatistical Analysis of the Data Sets on the Mariana Trench, Pacific Ocean (Presentation Slides)
Seminar presentation. PhD course at Ocean University of China, College of Marine Geo-sciences. Qingdao, China, Apr. 8, 2019. 52 pp. DOI: 10.6084/m9.figshare.10279247
52 Pages Posted: 20 Nov 2019
Date Written: April 8, 2019
The presentation reports current progress in PhD research. Specifically, it shows an application of R programming language for geostatistical data processing and other methods (QGIS, Python, etc) of the Mariana Trench geomorphology, Pacific Ocean. The impact of the geographic location and geological factors on its geomorphology has been studied by methods of statistical analysis and data visualization using R libraries. Research aim is to identify main impact factors affecting variations in the geomorphology of the Mariana Trench: steepness angle and structure of the sediment compression. Research focus is upon understanding variability of factors responsible for the deep ocean trench formation and comparative analysis of its geomorphic structure. It contributes towards investigations of the geology of the Pacific Ocean and the interplay between geomorphic, geological, tectonic and volcanic factors affecting submarine landform formation.
Keywords: Marine geology, Geomorphology, R programming, Statistical analysis, Data analysis, Mariana Trench, Pacific Ocean, GIS, QGIS, Spatial analysis, Modelling, Machine learning, Cartography, Mapping
JEL Classification: Y10, Y92, Y1, Q00, Q01, Q20, Q22, Q25, Q35, C00, C02, C12, C21, C33, C50, C51, C53
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