Progressive street networks

J. Tian; Q. S. Guo; T. Zhan

doi:10.1117/12.812873

5 November 2008 Progressive street networks

J. Tian, Q. S. Guo, T. Zhan

Proceedings Volume 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics; 71443F (2008) https://doi.org/10.1117/12.812873
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

Abstract

The multi-scale representation model and the corresponding generalization method for constructing it are two key issues involved in the progressive transmission of vector map data. In this paper, the characteristics of existing approaches to the generalization of streets are summarized based on an analysis of the literature. A progressive street network representation model is introduced. Information theory has been applied for a better understanding of why and when to generalize. The metric information, topological information and thematic information are quantified for the street network. A progressive generalization algorithm of street network based on information theory is investigated. An experiment is also conducted on an urban street network map from the Compilation specifications for 1:25000 1:50000 topographic maps (GB 12343-90). This paper tries to state that progressive representation needs the support from corresponding progressive generalization algorithm and tries to introduce information theory to solve the problem of "how to generalize".

Citation Download Citation

J. Tian, Q. S. Guo, and T. Zhan "Progressive street networks", Proc. SPIE 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics, 71443F (5 November 2008); https://doi.org/10.1117/12.812873

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