Introducing leader lines into scale-aware consistent labeling

Hsiang Yun Wu, Shigeo Takahashi, Sheung Hung Poon, Masatoshi Arikawa

Research output: Chapter in Book/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)


Consistently placing annotation labels across map scales often poses a problem due to the restriction of the screen space. This problem becomes further exacerbated when we navigate by arbitrarily zooming in and out of digital maps on mobile devices. In this paper, we introduce leader lines to conventional techniques for scale-aware consistent labeling to accommodate more annotation labels on the map domain while retaining their plausible arrangement. The overall visibility of annotation labels is optimized using genetic algorithms while avoiding their unwanted popping effects and sudden leaps regardless of the change in the map scale. The feasibility of the proposed approach is demonstrated by experimental results including comparison with relevant techniques.

Original languageEnglish
Title of host publicationAdvances in Cartography and GIScience - Selections from the International Cartographic Conference, 2017
EditorsMichael P. Peterson
PublisherSpringer Berlin Heidelberg
Number of pages14
ISBN (Print)9783319573359
Publication statusPublished - 2017
Externally publishedYes
Event28th International Cartographic Conference, ICC 2017 - Washington, United States
Duration: 2 Jul 20177 Jul 2017

Publication series

NameLecture Notes in Geoinformation and Cartography
ISSN (Print)1863-2246
ISSN (Electronic)1863-2351


Conference28th International Cartographic Conference, ICC 2017
Country/TerritoryUnited States


  • Active range optimization
  • Dynamic labeling
  • Genetic algorithms
  • Leader lines

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Earth-Surface Processes
  • Computers in Earth Sciences


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