Approach to adaptive spatial interpolation of geophysical information
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 c...
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Samara National Research University
2025-04-01
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| Series: | Компьютерная оптика |
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| Online Access: | https://computeroptics.ru/eng/KO/Annot/KO49-2/490215e.html |
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| author | A.V. Vorobev G.R. Vorobeva |
| author_facet | A.V. Vorobev G.R. Vorobeva |
| author_sort | A.V. Vorobev |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-3eac8ae1e4ed4fe3ab33a120bfb93c12 |
| institution | Kabale University |
| issn | 0134-2452 2412-6179 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Samara National Research University |
| record_format | Article |
| series | Компьютерная оптика |
| spelling | doaj-art-3eac8ae1e4ed4fe3ab33a120bfb93c122025-08-20T17:53:41ZengSamara National Research UniversityКомпьютерная оптика0134-24522412-61792025-04-0149230131010.18287/2412-6179-CO-1474Approach to adaptive spatial interpolation of geophysical informationA.V. Vorobev0G.R. Vorobeva1Geophysical Center of RAS; Ufa University of Science and TechnologyGeophysical Center of RASOne 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.https://computeroptics.ru/eng/KO/Annot/KO49-2/490215e.htmlgeospatial dataspatial interpolationspatial anisotropygeoinformation systems and technologiesweb gis |
| spellingShingle | A.V. Vorobev G.R. Vorobeva Approach to adaptive spatial interpolation of geophysical information Компьютерная оптика geospatial data spatial interpolation spatial anisotropy geoinformation systems and technologies web gis |
| title | Approach to adaptive spatial interpolation of geophysical information |
| title_full | Approach to adaptive spatial interpolation of geophysical information |
| title_fullStr | Approach to adaptive spatial interpolation of geophysical information |
| title_full_unstemmed | Approach to adaptive spatial interpolation of geophysical information |
| title_short | Approach to adaptive spatial interpolation of geophysical information |
| title_sort | approach to adaptive spatial interpolation of geophysical information |
| topic | geospatial data spatial interpolation spatial anisotropy geoinformation systems and technologies web gis |
| url | https://computeroptics.ru/eng/KO/Annot/KO49-2/490215e.html |
| work_keys_str_mv | AT avvorobev approachtoadaptivespatialinterpolationofgeophysicalinformation AT grvorobeva approachtoadaptivespatialinterpolationofgeophysicalinformation |