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Neighborhood-Based Variable-Scale Model in Mobile Maps

  • Chaode Yan
  • Wang Guo
  • Jianjun Bai
  • Tian He
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 215)

Abstract

Mobile maps, which integrates mobile positioning, mobile computing, and mobile communication technologies, differ from desktop and Web maps. Due to their small sizes, maintaining good legibility in mobile maps is very challenging. The variable-scale map model can be used in mobile maps to improve their legibility. Current variable-scale models often require human expertise to select appropriate parameters or models for generating variable-scale maps. However, these models ignore the effect of uneven distribution of spatial objects in map views. In this paper, a variable-scale model based on neighborhood is proposed, which selects the user’s focus region based on the neighborhood, identifies the focus region shape and automatically selects the variable-scale range and model. The principle and algorithm are introduced and described. Finally, the proposed model is evaluated. Results of the experiment show that the new model is feasible and valid to overcome the problem mentioned above.

Keywords

Mobile map Variable-scale Neighborhood 

Notes

Acknowledgments

This work described in this paper was supported under the grant numbers 40971238 and 40971213 from the Natural Science Foundation of China (NSFC).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Water Conservancy and Environment CollegeZhengzhou UniversityZhengzhouChina
  2. 2.Research Group Cartography, Institute for Geoinformation and CartographyVienna University of TechnologyViennaAustria
  3. 3.School of Tourism and EnvironmentShanxi Normal UniversityXi’anChina

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