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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
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
Citation:
D. A. Nikishin, “Types of inhomogeneities in the structure of geodata generalization”, Sistemy i Sredstva Inform., 29:1 (2019), 74–85
Linking options:
https://www.mathnet.ru/eng/ssi624 https://www.mathnet.ru/eng/ssi/v29/i1/p74
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