ON THE OPTIMIZATION OF SPATIO-TEMPORAL DATA MINING IN ECOLOGICAL MONITORING GEOINFORMATION SYSTEMS
Meteorological, hydrological and ecological data representation in geoinformation systems is considered. It is shown that due to the recently obtained universal statistical laws in several climatic and ecological indicators, optimization of spatio-temporal data representation using combined mathematical models including regular seasonal trends as well as fluctuations around them is possible. An additional advantage of the proposed approach is its enhanced robustness under data incompleteness conditions.
Authors: M. I. Bogachev, A. R. Kayumov, O. A. Markelov, S. Yu. Shevchenko
Direction: Biotechnical systems in Medicine and Ecology
Keywords: Geoinformation systems, ecological monitoring, seasonal trends, extremes interval statistics, scaling properties, universal laws
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