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Sistemy i Sredstva Informatiki [Systems and Means of Informatics], 2022, Volume 32, Issue 3, Pages 50–62
DOI: https://doi.org/10.14357/08696527220305
(Mi ssi841)
 

This article is cited in 3 scientific papers (total in 3 papers)

Overview of approaches to space–time modeling and the main trends in the development of T-GIS

D. A. Nikishin

Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
Full-text PDF (442 kB) Citations (3)
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Abstract: The purpose of the work is to consider the characteristic features of a number of basic approaches and their corresponding models of spatiotemporal (temporal) geodata models proposed in recent decades and to identify the main trends in the development of spatiotemporal modeling for temporal geoinformation systems (T-GIS). It is noted that it is not necessary to talk about a general approach to spatiotemporal geomodeling due to the variety of requirements and features inherent in specific tasks of specific T-GIS. Graph-based modeling of events and processes, an agent-oriented approach, the use of the paradigm of moving objects, as well as the integration of these approaches together are important areas.
Keywords: modeling of geographical phenomena, evolution of geo objects, temporal geoinformation system, spatiotemporal geodata database, classification of temporal geomodels.
Received: 15.08.2022
Document Type: Article
Language: Russian
Citation: D. A. Nikishin, “Overview of approaches to space–time modeling and the main trends in the development of T-GIS”, Sistemy i Sredstva Inform., 32:3 (2022), 50–62
Citation in format AMSBIB
\Bibitem{Nik22}
\by D.~A.~Nikishin
\paper Overview of approaches to space–time modeling and the main trends in the development of T-GIS
\jour Sistemy i Sredstva Inform.
\yr 2022
\vol 32
\issue 3
\pages 50--62
\mathnet{http://mi.mathnet.ru/ssi841}
\crossref{https://doi.org/10.14357/08696527220305}
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  • https://www.mathnet.ru/eng/ssi/v32/i3/p50
  • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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    References:11
     
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