Please use this identifier to cite or link to this item:
Title: Topographic map generalization : association of road elimination with thematic attributes
Authors: Li, Z 
Choi, YH
Issue Date: 2002
Source: Cartographic journal, 2002, v. 39, no. 2, p. 153-166 How to cite?
Journal: Cartographic Journal 
Abstract: It has been widely recognized that, in order to automate the map generalization process, cartographic knowledge needs to be formalized. One method of knowledge acquisition is to analyse existing maps. Previous studies have concentrated on describing the phenomena on the surface. A typical example is the percentage change of the number of symbols or the percentage of open space on smaller scale maps. This study aims to go one step further, i.e. to analyse the association such changes with thematic attributes. In this study, road features on topographic maps of Hong Kong from 1: 1000 to 1:200 000 are studied; six types of thematic attributes, i.e. 'type', 'length', 'width', 'number of lanes', 'number of traffic ways' and 'connectivity', are considered; and two statistic parameters, Lambda and Somers' Delta, are employed. It has been discovered that the dependence of road elimination on these attributes occurs in the following order: type (0.73), length (0.53), number of lanes (0.48), number of traffic directions (0.41), width (0.36) and connectivity (0.19). If these numbers are normalized into percentages, then these values become: type (27%), length (20%), number of lanes (18%), number of traffic directions (15%), width (13%) and connectivity (7%). Such results could be used to formulate an overall weight to determine whether a particular road should be deleted, merged or combined in the generalization process, in order to retain a certain proportion of roads at a smaller scale.
ISSN: 0008-7041
Appears in Collections:Journal/Magazine Article

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Sep 12, 2018

Page view(s)

Last Week
Last month
Citations as of Sep 16, 2018

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.