“…The approaches to the data analysis, visualization and geological modelling are diverse. To mention some of them: tomographic, seismic and bathymetric 2D and 3D modelling, geologic cross-sectioning, seismic cross-section profiling, R programming language for analysis of correlation between variables [38,39], ArcGIS based assessment and calculation of measured data [40][41][42], ILWIS GIS [43], Python statistical libraries, such as Matplotlib, NumPy, SciPy, Seaborn, Pandas, StatsModels [44,45]. Using special software for automatization of the geodata can be illustrated by Autotrace [46], R packages [47], [48] or geological software [49,50].…”