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ISPRS Int. J. Geo-Inf. 2015, 4(4), 2185-2204; doi:10.3390/ijgi4042185

A New Algorithm for Cartographic Simplification of Streams and Lakes Using Deviation Angles and Error Bands

Department of Geomatic Engineering, Faculty of Civil Engineering, Yıldız Technical University, Esenler, Istanbul 34220, Turkey
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Author to whom correspondence should be addressed.
Academic Editor: Wolfgang Kainz
Received: 23 June 2015 / Revised: 1 October 2015 / Accepted: 10 October 2015 / Published: 22 October 2015
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Abstract

Multi-representation databases (MRDBs) are used in several geographical information system applications for different purposes. MRDBs are mainly obtained through model and cartographic generalizations. Simplification is the essential operator of cartographic generalization, and streams and lakes are essential features in hydrography. In this study, a new algorithm was developed for the simplification of streams and lakes. In this algorithm, deviation angles and error bands are used to determine the characteristic vertices and the planimetric accuracy of the features, respectively. The algorithm was tested using a high-resolution national hydrography dataset of Pomme de Terre, a sub-basin in the USA. To assess the performance of the new algorithm, the Bend Simplify and Douglas-Peucker algorithms, the medium-resolution hydrography dataset of the sub-basin, and Töpfer’s radical law were used. For quantitative analysis, the vertex numbers, the lengths, and the sinuosity values were computed. Consequently, it was shown that the new algorithm was able to meet the main requirements (i.e., accuracy, legibility and aesthetics, and storage). View Full-Text
Keywords: cartography; generalization; simplification; algorithm; deviation angle; error band cartography; generalization; simplification; algorithm; deviation angle; error band
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Gökgöz, T.; Sen, A.; Memduhoglu, A.; Hacar, M. A New Algorithm for Cartographic Simplification of Streams and Lakes Using Deviation Angles and Error Bands. ISPRS Int. J. Geo-Inf. 2015, 4, 2185-2204.

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