The Primary Geo-electromagnetic Data Preprocessing Received from a Modified Geophysical Automatic Station

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Abstract

The results of preliminary processing of the primary data obtained from the geophysical automatic station are presented. Descriptive statistics and simulation of time series were used as processing methods. The presentation of the results by multidimensional graphs allowed to reveal the phenomenon of coincidence in the first indicators of descriptive statistics, and in the second, the coincidence of the model’s coefficients for the daily measurements of the natural electric field. This phenomenon represents that the days with practically identical values of indicators and coefficients of the model are manifested. However, the essence of this phenomenon needs new additional research.

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Kaminskyj, R., Shakhovska, N., & Savkiv, L. (2020). The Primary Geo-electromagnetic Data Preprocessing Received from a Modified Geophysical Automatic Station. In Advances in Intelligent Systems and Computing (Vol. 902, pp. 617–627). Springer Verlag. https://doi.org/10.1007/978-3-030-12082-5_56

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