A Study of Cartographic Generalization Based on Rough Set Method

This paper introduces how to apply rough set classification and attribute reduction method in map generalization and provides solutions to several special cases arising in the map spatial data processing. Unlike the analysis in the past which focused solely on the attribute data of map, in this paper, rough set attribute decision table specific for the features of map data is created on the basis of the structurization of spatial information in the map data, thus to meet the need for map generalization. Based on existing map generalization methods and aiming to their deficiencies, this paper proposes map generalization methods and models by employing the rough set classification, analyzes the relationship between the classification using rough set technique and the principles of map generalization, and from theoretical basis to application, expatiates on the common ground of the two and the feasibility of map generalization using rough sets.