The Role of Spatial Context Information in the Generalization of Geographic Information: Using Reducts to Indicate Relevant Attributes

Anna Fiedukowicz

Abstract

Generalization of geographic information enables cognition and understanding not only of objects and phenomena located in space but also the relations and processes between them. The automation of this process requires formalization of cartographic knowledge, including information on the spatial context of objects. However, the question remains which information is crucial to the decisions regarding the generalization (in this paper: selection) of objects. The article presents and compares the usability of three methods based on rough set theories (rough set theory, dominance-based rough set theory, fuzzy rough set theory) that facilitate the designation of the attributes relevant to a decision. The methods are using different types (levels of measurements) of attributes. The author determines reducts and their cores (common elements) that show the relevance of attributes stemming from the spatial context. The fuzzy rough set theory method proved the least useful, whereas the rough set theory and dominance-based rough set theory methods seem to be recommendable (depending on the governing level of measurement).
Author Anna Fiedukowicz (FGC / DC)
Anna Fiedukowicz,,
- Department of Cartography
Journal seriesISPRS International Journal of Geo-Information, ISSN 2220-9964
Issue year2020
Vol9
No1
Pages1-21
Publication size in sheets1.85
ASJC Classification3305 Geography, Planning and Development; 1901 Earth and Planetary Sciences (miscellaneous); 1903 Computers in Earth Sciences
DOIDOI:10.3390/ijgi9010037
Internal identifier4/2020
Languageen angielski
Score (nominal)70
Score sourcejournalList
ScoreMinisterial score = 70.0, 22-09-2020, ArticleFromJournal
Publication indicators WoS Citations = 0; Scopus Citations = 0; GS Citations = 2.0; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 1.229; WoS Impact Factor: 2018 = 1.84 (2) - 2018=2.022 (5)
Citation count*2 (2020-08-30)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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