Share Email Print
cover

Proceedings Paper

Progressive street networks
Author(s): J. Tian; Q. S. Guo; T. Zhan
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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".

Paper Details

Date Published: 5 November 2008
PDF: 10 pages
Proc. SPIE 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics, 71443F (5 November 2008); doi: 10.1117/12.812873
Show Author Affiliations
J. Tian, Wuhan Univ. (China)
Q. S. Guo, Wuhan Univ. (China)
T. Zhan, Hubei Univ. of Policy (China)


Published in SPIE Proceedings Vol. 7144:
Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics
Lin Liu; Xia Li; Kai Liu; Xinchang Zhang; Xinhao Wang, Editor(s)

© SPIE. Terms of Use
Back to Top