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)


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.


Mobile map Variable-scale Neighborhood 



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


  1. 1.
    Wang Q, Hu Y (1993) A kind of adjustable map projection with magnifying glass effect. Acta Geod Cartograph Sin 22(4):270–278Google Scholar
  2. 2.
    Zipf A, Richter KF (2002) Using focus maps to ease map reading. Kunstliche Intelligenz 4:35–37Google Scholar
  3. 3.
    Harrie L, Sarjakoski LT, Lehto L (2002) A mapping function for variable-scale maps in small-display cartography. J Geospatial Eng 4(2):111–123Google Scholar
  4. 4.
    Harrie L, Sarjakoski LT, Lehto L (2002) A variable-scale map for small-display cartography. Int Arch Photogram Rem Sens Spatial Inform Sci 34(4):237–242Google Scholar
  5. 5.
    Li Q (2009) Variable-scale representation of road network on small mobile devices. Comput Geosci 35:2185–2190CrossRefGoogle Scholar
  6. 6.
    Yan C, Zhao R, Chen J, Zhao X (2006) Neighborhood-based adaptive geovisualization on mobile map. J Wuhan Univ (information edition) 31(12):1112–1115Google Scholar
  7. 7.
    Yan C, Zhao R, Chen J (2006) Adaptive model of mobile map. Geogr Geo-Inform Sci 22(2):42–45Google Scholar
  8. 8.
    Chen J, Yan C, Zhao R, Zhao S (2009) Voronoi neighbor-based self-adaptive clipping model for mobile maps. Acta Geod Cartograph Sin 38(2):153–155Google Scholar
  9. 9.
    Golledge G (1978) Learning about urban environment. Timing space and spacing time. Edward Arnold, London, pp 76–98Google Scholar
  10. 10.
    Haggett P, Cliff AD, Frey A (1977) Locational analysis in human geography. Edward Arnold, London, 309 ppGoogle Scholar

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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