An approach to the recovery of spatial data time series based on information-correlation and geostatistical analysis

The issues of increasing the efficiency of processing and analysis of spatial data in the context of solving the problem of recovering the corresponding time series with an accuracy not exceeding a given allowable value are discussed. An approach based on redundancy of distributed sources of spatial data in accordance with the results of their information-theoretic analysis, on the one hand, and geostatistical analysis, on the other, is proposed. Using the results of monitoring the parameters of the geomagnetic field as an example, the effectiveness of the proposed approach is shown. Contribution of the authors: the authors contributed equally to this article. The authors declare no conflicts of interests.

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