Abstract
With the help of LBS provided by some social network service provider, people can obtain knowledge and perceive the world around them more conveniently. However, since the contradiction of a large number of POI nodes and the limited displaying space, finding a better layout algorithm to visualize the POI nodes is important for better user experience. This paper presents a new layout algorithm called Virtual Layout algorithm, which can solve the problem of the uneven POI nodes distribution and make a better presentation of the geospatial information. We also deployed a microblog LBS visualization system which consists of Virtual Layout algorithm, stylized map and location reference frame to verify the performance of the proposed algorithm.
Chapter PDF
Similar content being viewed by others
References
Chen, X., et al.: System architecture of LBS based on spatial information integration. In: Geoscience and Remote Sensing Symposium. IEEE (2004)
Contributors, W.: Point of interest, in Wikipedia, The Free Encyclopedia (2013)
Iliinsky, N.: On beauty. Beautiful Visualization: Looking at Data through the Eyes of Experts, 1–14 (2010)
Chen, X., Chen, Y., Rao, F.: An efficient spatial publish/subscribe system for intelligent location-based services. In: Proceedings of the 2nd International Workshop on Distributed Event-Based Systems 2003, pp. 1–6. ACM, San Diego (2003)
Jensen, C.S., et al.: Multidimensional data modeling for location-based services. In: Proceedings of the 10th ACM International Symposium on Advances in Geographic Information Systems 2002, pp. 55–61. ACM, McLean (2002)
Mourinho, J., Galvao, T., Falcão e Cunha, J.: Spider Maps for Location-Based Services Improvement. In: Snene, M., Ralyté, J., Morin, J.-H. (eds.) IESS 2011. LNBIP, vol. 82, pp. 16–29. Springer, Heidelberg (2011)
Chernobelskiy, R., Cunningham, K.I., Goodrich, M.T., Kobourov, S.G., Trott, L.: Force-Directed Lombardi-Style Graph Drawing. In: Speckmann, B., et al. (eds.) GD 2011. LNCS, vol. 7034, pp. 320–331. Springer, Heidelberg (2011)
Davison, M.L.: Multidimensional scaling. Wiley, New York (1983)
Fry, B.: Visualizing data: exploring and explaining data with the Processing environment. O’Reilly Media (2008)
Ester, M., et al.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: KDD (1996)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Wang, JM., Gan, L., Zhang, RP., You, F. (2014). An Intuitive Way to Describe Our World: A Microblog LBS Visualization System. In: Yamamoto, S. (eds) Human Interface and the Management of Information. Information and Knowledge Design and Evaluation. HIMI 2014. Lecture Notes in Computer Science, vol 8521. Springer, Cham. https://doi.org/10.1007/978-3-319-07731-4_11
Download citation
DOI: https://doi.org/10.1007/978-3-319-07731-4_11
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07730-7
Online ISBN: 978-3-319-07731-4
eBook Packages: Computer ScienceComputer Science (R0)