Geostatistical Analysis of the Data Sets on the Mariana Trench, Pacific Ocean
Abstract
Presentation reports current progress of the PhD research. Specifically, it shows an application of R programming language for geostatistical data processing and other methods (QGIS, Python, etc) for Mariana Trench modelling and cartographic mapping. 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.
Domains
Earth Sciences Ocean, Atmosphere Information Retrieval [cs.IR] Modeling and Simulation Graphics [cs.GR] Multimedia [cs.MM] Statistics [stat] Applied geology Geomorphology Geophysics [physics.geo-ph] Continental interfaces, environment Environmental Sciences Environmental Engineering Computer Science [cs] Technology for Human Learning
Origin : Files produced by the author(s)
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