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

Faculty of Geodesy and Cartography, Warsaw University of Technology, 00-661 Warsaw, Poland
ISPRS Int. J. Geo-Inf. 2020, 9(1), 37; https://doi.org/10.3390/ijgi9010037
Received: 25 October 2019 / Revised: 29 December 2019 / Accepted: 4 January 2020 / Published: 10 January 2020
(This article belongs to the Special Issue Map Generalization)
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).
Keywords: rough sets; reducts; spatial context; RST; DRST; FRST rough sets; reducts; spatial context; RST; DRST; FRST
MDPI and ACS Style

Fiedukowicz, A. The Role of Spatial Context Information in the Generalization of Geographic Information: Using Reducts to Indicate Relevant Attributes. ISPRS Int. J. Geo-Inf. 2020, 9, 37.

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