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ISPRS Int. J. Geo-Inf. 2017, 6(7), 218; doi:10.3390/ijgi6070218

A Matrix-Based Structure for Vario-Scale Vector Representation over a Wide Range of Map Scales: The Case of River Network Data

1
School of Resource and Environment Sciences, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
2
GIS Technology, OTB Research, Faculty of Architecture and the Built Environment, Delft University of Technology, Julianalaan 134, 2628 BL Delft, The Netherlands
*
Author to whom correspondence should be addressed.
Received: 22 April 2017 / Revised: 7 July 2017 / Accepted: 10 July 2017 / Published: 13 July 2017
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Abstract

The representation of vector data at variable scales has been widely applied in geographic information systems and map-based services. When the scale changes across a wide range, a complex generalization that involves multiple operations is required to transform the data. To present such complex generalization, we proposed a matrix model to combine different generalization operations into an integration. This study was carried on a set of river network data, where two operations, i.e., network pruning accompanied with river simplification, were hierarchically constructed as the rows and columns of a matrix. The correspondence between generalization operations and scale, and the scale linkage of multiple operations were also explicitly defined. In addition, we developed a vario-scale data structure to store the generalized river network data based on the proposed matrix. The matrix model was validated and assessed by a comparison with traditional methods that conduct generalization operations in sequence. It was shown that the matrix model enabled complex generalization with good generalization quality. Taking advantage of the corresponding vario-scale data structure, the river network data could be obtained at any arbitrary scale, and the vario-scale representation was achieved across a wide scale range. View Full-Text
Keywords: matrix model; vario-scale representation; complex generalization; hydrographic network generalization matrix model; vario-scale representation; complex generalization; hydrographic network generalization
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MDPI and ACS Style

Huang, L.; Ai, T.; Oosterom, P.V.; Yan, X.; Yang, M. A Matrix-Based Structure for Vario-Scale Vector Representation over a Wide Range of Map Scales: The Case of River Network Data. ISPRS Int. J. Geo-Inf. 2017, 6, 218.

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