Representation of geological-geophysical data in a unified integrated GIS environment

A. Beriozko, A. Soloviev, and R. Krasnoperov

Geophysical Center, Russian Academy of Sciences, Moscow, Russia


[1]  The organization of data related to geoscience, comprising data collection, filing, processing, dissemination and application at solving scientific and practical tasks over the past years seemed rather complicated. This is caused by the contradiction between, on one hand, incessantly growing data flow and intensive development of data processing and interpretation means and, on the other hand, progressively growing difficulties of ensuring data compatibility, exchange of data and use of data processing results by a wide range of researchers and other users. The solution of problems mentioned above can be significantly facilitated by creation and application of geographical information systems (GIS) technology, as a cumulative set of means of data filing, joint processing and analysis, with geographical or spatial reference. This technology comprises traditional methods of using databases with advantages of full-fledged visualization and geographical (spatial) analysis. These capabilities can distinguish GIS from other information systems and provide unique opportunities to its application for solving a wide spectrum of problems, related to analyzing and forecasting phenomena and events of the surrounding world, by contemplating and emphasizing main factors and causes, and also their possible consequences, by planning strategic solutions and current results of undertaken activities. The recent study the GIS technology was applied for construction and program realization of integrated geoinformation environment, including digital maps comprising various thematic data levels on geoscience.

Received 11 September 2007; accepted 21 September 2007; published 26 September 2007.

Keywords: Geographic information system, geoinformatics, artificial intelligence.

Index Terms: 0520 Computational Geophysics: Data analysis: algorithms and implementation; 0530 Computational Geophysics: Data presentation and visualization; 0555 Computational Geophysics: Neural networks, fuzzy logic, machine learning; 0594 Computational Geophysics: Instruments and techniques.


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