Year: 2025
Type: article
Abstract: One of the well-known problems of processing spatial information in applied areas is its pronounced spatial anisotropy, due to both the uneven distribution of data sources over the earth's surface and their temporary non-operability due to technical failures and the human factor. This problem creates tangible obstacles in the study of processes of various origins, on the one hand, and in decision-making processes based on such information, on the other. Thus, geophysical information, in particular, geomagnetic data, which are recorded in real time by a network of magnetic observatories and variation stations around the world, has a pronounced spatial anisotropy. At the same time, the known methods of interpolation, which do not take into account either the features of the described processes / phenomena, or their dependence on external factors, do not effectively cope with the task. In this paper, we propose an approach to adaptive spatial interpolation, the main idea of which is to determine the interpolation methods that are most effective for various combinations of external and internal factors. Further, in the process of interpolation, the desired value is restored by the selected methods based on its geospatial reference and a complex of external factors. By the example of geomagnetic information, the effectiveness of the proposed approach is shown using the developed web-oriented research prototype of a software solution.
Source: Computer Optics
Authors: A.V. Vorobev, G.R. Vorobeva
Institutions: Geophysical Center, Ufa University of Science and Technology
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: diamond
Funder: Russian Science Foundation
Award: G1851565651
OpenAlex ID: W4411978176