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C. Yan, W. Guo, J. Bai, T. He:
"Neighborhood-Based Variable-Scale Model in Mobile Maps";
Talk: First International Conference on Cognitive Systems and Information Processing, Beijing, China; 2012-10-28 - 2012-10-30; in: "Proceedings of the First International Conference on Cognitive Systems and Information Processing", Springer Berlin Heidelberg, (2014), ISBN: 978-3-642-37834-8; 177 - 186.

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 userīs 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.

http://dx.doi.org/10.1007/978-3-642-37835-5_16