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Sistemy i Sredstva Informatiki [Systems and Means of Informatics], 2019, Volume 29, Issue 1, Pages 74–85
DOI: https://doi.org/10.14357/08696527190107
(Mi ssi624)
 

This article is cited in 2 scientific papers (total in 2 papers)

Types of inhomogeneities in the structure of geodata generalization

D. A. Nikishin

Institute of Informatics Problems, Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119133, Russian Federation
Full-text PDF (492 kB) Citations (2)
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Abstract: A holistic description of the multilevel structure of the generalization of geodata containing nonuniform information objects is proposed. A typology of relations of information objects of various levels of generalization is presented, in the context of which the formal criterion of the property of generalization reversibility is defined. The typology of inhomogeneities arising from the comparison of certain types of information objects and ways to eliminate them are considered. The criterion of heterogeneity of the structure of generalization and the concept of a segment of homogeneous generalization are introduced. Practical examples of nonuniform generalization in topography are given.
Keywords: geodata, cartographic generalization, generalization of spatial data, digital cartography, geoinformatics.
Received: 12.02.2019
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: D. A. Nikishin, “Types of inhomogeneities in the structure of geodata generalization”, Sistemy i Sredstva Inform., 29:1 (2019), 74–85
Citation in format AMSBIB
\Bibitem{Nik19}
\by D.~A.~Nikishin
\paper Types of~inhomogeneities in~the~structure of~geodata generalization
\jour Sistemy i Sredstva Inform.
\yr 2019
\vol 29
\issue 1
\pages 74--85
\mathnet{http://mi.mathnet.ru/ssi624}
\crossref{https://doi.org/10.14357/08696527190107}
\elib{https://elibrary.ru/item.asp?id=37625963}
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  • https://www.mathnet.ru/eng/ssi/v29/i1/p74
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Системы и средства информатики
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    Full-text PDF :54
    References:12
     
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