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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 215))

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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.

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References

  1. Wang Q, Hu Y (1993) A kind of adjustable map projection with magnifying glass effect. Acta Geod Cartograph Sin 22(4):270–278

    Google Scholar 

  2. Zipf A, Richter KF (2002) Using focus maps to ease map reading. Kunstliche Intelligenz 4:35–37

    Google Scholar 

  3. Harrie L, Sarjakoski LT, Lehto L (2002) A mapping function for variable-scale maps in small-display cartography. J Geospatial Eng 4(2):111–123

    Google Scholar 

  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):237–242

    Google Scholar 

  5. Li Q (2009) Variable-scale representation of road network on small mobile devices. Comput Geosci 35:2185–2190

    Article  Google Scholar 

  6. Yan C, Zhao R, Chen J, Zhao X (2006) Neighborhood-based adaptive geovisualization on mobile map. J Wuhan Univ (information edition) 31(12):1112–1115

    Google Scholar 

  7. Yan C, Zhao R, Chen J (2006) Adaptive model of mobile map. Geogr Geo-Inform Sci 22(2):42–45

    Google Scholar 

  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):153–155

    Google Scholar 

  9. Golledge G (1978) Learning about urban environment. Timing space and spacing time. Edward Arnold, London, pp 76–98

    Google Scholar 

  10. Haggett P, Cliff AD, Frey A (1977) Locational analysis in human geography. Edward Arnold, London, 309 pp

    Google Scholar 

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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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Correspondence to Chaode Yan .

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© 2014 Springer-Verlag Berlin Heidelberg

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Yan, C., Guo, W., Bai, J., He, T. (2014). Neighborhood-Based Variable-Scale Model in Mobile Maps. In: Sun, F., Hu, D., Liu, H. (eds) Foundations and Practical Applications of Cognitive Systems and Information Processing. Advances in Intelligent Systems and Computing, vol 215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37835-5_16

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  • DOI: https://doi.org/10.1007/978-3-642-37835-5_16

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37834-8

  • Online ISBN: 978-3-642-37835-5

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