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Abstract
Cluster analysis is applied for computing stable combinations of geological and geophysical parameters, and areas with such combinations are interpreted as regions that differ in structural and geodynamic features. The shelf areas are distinguished by specific sets and patterns of parameters, including sedimentary cover thickness, tectonic heterogeneity of the basement, heat flow, anomalous magnetic field, and gravity anomalies that reflect the topography of the crust–upper mantle boundary. In the deep oceanic areas, S-wave velocity variations show abnormally ‘cold’ blocks, while the average heat flow values are high. This combination of parameters is typical of transform zones at the junction of the Atlantic and Arctic segments. Superimposed thermal domes are located symmetrically with respect to the axis of the mid-oceanic ridges (MOR). Such domes may occur on the continents located close to MOR. Similar indicators can be revealed along the transition zone to the north of the East Siberian Sea.
Highlights
THE STATE-OF-THE-ART IN MULTIDIMENSIONAL DATA ANALYSIS, ANDAN APPROACH TO SOLVING THE PROBLEM2
The cluster analysis techniques applied to zone the crust and upper mantle of the Arctic region reveals the following stable groups supported by the geological features:
Group 2 including three clusters (Clusters 7, 12, and 14) – deep oceanic areas; it shows the characteristics of abyssal areas, superimposed magmatic structures and the transition zones between the major oceanic segments
Summary
Today the geological and geophysical information on the Arctic floor structure (Fig. 1) is abundant, and attempts to compare and analyze the available multidimensional data files by conventional visual and correlation methods do not seem practical. Despite the fact that the Arctic shelf area has been unevenly covered by the studies, the authors attempt at generalization of the source data and apply the cluster analysis to calculate and classify combinations of geodynamic parameters. Cluster analysis results can provide the basis for mapping the studied territory by geodynamic settings and interpreting the physical meanings of the identified types. The objectives are to definite the terms of ‘geodynamics’ and ‘geodynamic setting’, select geological and geophysical parameters to describe a ‘geodynamic setting’ (providing a ‘spatially uniform’ description whenever possible), select a computation technique for identification of geodynamic setting types, implement a computational algorithm and describe its specific features, construct a map showing patterns of geodynamic setting types, and interpret the physical and geodynamic meaning of the results. The first publication on the selection of parameters and calculations of cluster combinations for the deep areas of the Atlantic Ocean was [Sokolov et al, 2008] ( measurements of vertical movement velocity, one of the most important parameters, were lacking)
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