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The aim of this work is to identify main impact factors affecting variationsin the geomorphology of the Mariana Trench which is the deepest place of theEarth, located in the west Pacific Ocean: steepness angle and structure of thesediment compression. The Mariana Trench presents a complex ecosystem withhighly interconnected factors: geology (sediment thickness and tectonicsincluding four plates that Mariana trench crosses: Philippine, Pacific,Mariana, Caroline), bathymetry (coordinates, slope angle, depth values in theobservation points). To study such a complex system, an objective methodcombining various approaches (statistics, R, GIS, descriptive analysis andgraphical plotting) was performed. Methodology of the research includesfollowing clusters: R programming language for writing codes, statisticalanalysis, mathematical algorithms for data processing, analysis and visualizingdiagrams, GIS for digitizing bathymetric profiles and spatial analysis. Thestatistical analysis of the data taken from the bathymetric profiles wasapplied to environmental factors, i.e. coordinates, depths, geologicalproperties sediment thickness, slope angles, etc. Finally, factor analysis wasperformed by R libraries to analyze impact factors of the Mariana Trenchecosystem. Euler-Venn logical diagrams highlighted similarities between fourtectonic plates and environmental factors. The results revealed distinctcorrelations between the environmental factors (sediment thickness, slopesteepness, depth values by observation points, geographic location of theprofiles) affecting Mariana Trench morphology. The research demonstrated thatcoding on R language provides a powerful and highly effective statisticaltools, mathematical algorithms of factor analysis to study ocean trenchformation.

Factor Analysis by R Programming to Assess Variability Among Environmental Determinants of the Mariana Trench