Line Generalization Based on Analysis of Shape Characteristics

Authors: Wang, Zeshen; Müller, Jean-Claude

Source: Cartography and Geographic Information Science, Volume 25, Number 1, January 1998 , pp. 3-15(13)

Publisher: Cartography and Geographic Information Society

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Abstract:

Many solutions for line generalizations have already been proposed. Most of them, however, are geometric solutions, not cartographic ones. The position we take in this paper is to observe school-case solutions available in standard cartographic books and try to replicate those automatically. A central criterion guiding the process of cartographic generalization is line structure, which itself can be decomposed into a series of line bends. Hence our solution is to preserve the overall structure with line bends which are mathematically defined according to size, shape, and context. Rules are subsequently applied using operators such as elimination, combination, and exaggeration. The algorithms that were used are both procedural and knowledge based. Various experiments were conducted on physical and political geographic lines, and we show the graphical results so that readers may visually assess them. Further research to improve the present solutions is discussed, particularly options for avoiding conflicts in large-scale reductions.

Document Type: Research article

DOI: http://dx.doi.org/10.1559/152304098782441750

Publication date: 1998-01-01

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  • Cartography and Geographic Information Science (CaGIS) is the official publication of the Cartography and Geographic Information Society. CaGIS supports research, education, and practices that improve the understanding, creation, analysis, and use of maps and geographic information. The society serves as a forum for the exchange of original concepts, techniques, approaches, and experiences by those who design, implement, and use geospatial technologies through the publication of authoritative articles and international papers. The role of the CaGIS journal is to facilitate these objectives by disseminating results and reports in these areas of interest.

    Cartography and Geographic Information Science (CaGIS) is now being published by Taylor & Francis as of 2013. Please visit the Journal's website at www.tandfonline.com/tcag or contact subscriptions@tandf.co.uk to subscribe and obtain online access.

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