Advertisement

Distorted Cartogram Visualization for Travelers

  • Jong-Chul Yoon
  • Jong-Sung Hong
  • In Seob Yoon
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10507)

Abstract

Most maps are generated based on measures of distance. However, the time required to reach a points of interest can be more important than the distance for a tourist because it directly indicates availability. We propose a novel geographical visualization technique that represents cartography in terms of the time required to travel between the points of interest rather than the distance. Congestion makes areas of the map expand, whereas ideal traffic conditions make the map shrink in comparison to the actual distance scale of a traditional map. The proposed map visualization application enables a more intuitive scheduling for travelers.

Keywords

Cartogram Geographic visualization Web application 

Notes

Acknowledgements

This research was supported by 2014 Research Grant from Kangwon National University(No. 220140146) and Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education, Science and Technology (NRF-2017R1D1A3B03033656).

References

  1. 1.
    Lightfoot, C., Steinberg, T.: Travel-time Maps and their Uses (2006). http://www.mysociety.org/2006/travel-time-maps
  2. 2.
    Hong, S.R., Kim, Y.-S., Yoon, J.-C., Aragon, C.R.: Traffigram: distortion for clarification via isochronal cartography. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (2014)Google Scholar
  3. 3.
  4. 4.
    Jain, A.K., Dubes, R.C.: Algorithms for Clustering Data. Prentice Hall, Upper Saddle River (1988)Google Scholar
  5. 5.
    Barra, J.R., Brodeau, F., Romier, G., van Cutsem, B.: Recent Developments in Statistics. American Statistical Association (1978)Google Scholar
  6. 6.
    Wahba, G.: Spline Models for Observational Data. Society for Industrial and Applied Mathematics, Philadelphia (1990)Google Scholar

Copyright information

© IFIP International Federation for Information Processing 2017

Authors and Affiliations

  1. 1.Department of Broadcasting TechnologyKangwon National UniversityChuncheonSouth Korea

Personalised recommendations