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Labeling dense maps for location-based services

Zhang, Qingnian LU (2005) In Web and Wireless Geographical Information Systems (Lecture Notes in Computer Science) 3428. p.195-205
Abstract
Spatial information is often presented as maps in location-based services, which makes it necessary to label cartographic features in real time. Features may be dense all over the map, or in certain areas. Owing to the limited free spaces, it is always difficult to label dense features. Aiming to utilize free spaces efficiently, this paper proposed a density-based method of labelling dense features. The method placed labels of dense features earlier than sparse ones, so that free spaces were allotted to dense features before consumed by sparse features. An efficient algorithm was developed for map labelling in real time. We implemented this method in a Java environment. A case study shows sound cartographic results and acceptable... (More)
Spatial information is often presented as maps in location-based services, which makes it necessary to label cartographic features in real time. Features may be dense all over the map, or in certain areas. Owing to the limited free spaces, it is always difficult to label dense features. Aiming to utilize free spaces efficiently, this paper proposed a density-based method of labelling dense features. The method placed labels of dense features earlier than sparse ones, so that free spaces were allotted to dense features before consumed by sparse features. An efficient algorithm was developed for map labelling in real time. We implemented this method in a Java environment. A case study shows sound cartographic results and acceptable efficiency of the labelling. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Web and Wireless Geographical Information Systems (Lecture Notes in Computer Science)
volume
3428
pages
195 - 205
publisher
Springer
external identifiers
  • wos:000230369300015
  • scopus:24344465864
ISSN
1611-3349
0302-9743
DOI
10.1007/b136505
language
English
LU publication?
yes
id
44063e94-7944-4cf8-b6aa-4ebcface8884 (old id 231903)
date added to LUP
2007-08-16 16:50:23
date last changed
2017-01-01 04:57:40
@inbook{44063e94-7944-4cf8-b6aa-4ebcface8884,
  abstract     = {Spatial information is often presented as maps in location-based services, which makes it necessary to label cartographic features in real time. Features may be dense all over the map, or in certain areas. Owing to the limited free spaces, it is always difficult to label dense features. Aiming to utilize free spaces efficiently, this paper proposed a density-based method of labelling dense features. The method placed labels of dense features earlier than sparse ones, so that free spaces were allotted to dense features before consumed by sparse features. An efficient algorithm was developed for map labelling in real time. We implemented this method in a Java environment. A case study shows sound cartographic results and acceptable efficiency of the labelling.},
  author       = {Zhang, Qingnian},
  issn         = {1611-3349},
  language     = {eng},
  pages        = {195--205},
  publisher    = {Springer},
  series       = {Web and Wireless Geographical Information Systems (Lecture Notes in Computer Science)},
  title        = {Labeling dense maps for location-based services},
  url          = {http://dx.doi.org/10.1007/b136505},
  volume       = {3428},
  year         = {2005},
}