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Development of Web-based Interface Tool for Map Data Visualization

웹 환경에서의 지도 기반 데이터 시각화 인터페이스 툴 개발

  • Choi, Jin (Dept. of IT Eng., Sookmyung Women's University) ;
  • Kil, Sun-Young (Dept. of IT Eng., Sookmyung Women's University) ;
  • Lim, Soon-Bum (Dept. of IT Eng., Sookmyung Women's University)
  • Received : 2017.07.17
  • Accepted : 2017.07.27
  • Published : 2017.08.31

Abstract

Because of the open data in public domains, it is easy to collect the public data. However, people find difficulty in visualizing the data in material that they actually want. Especially, A map is a difficult material to do the visualization work, without using the specific tools and learning. Therefore, in this paper, we proposed an interface tool for map data visualization that user can easily visualize various national statistics data on the map. We designed the interface by classifying the properties of the map systematically, focusing on the completion and convenience for making the map. After that, we developed a web-based application using D3.js. After user evaluation, we found that our application can visualize the map more quickly and completely than any other web interfaces for map data visualization. Users also found a higher satisfaction in operating convenience.

Keywords

References

  1. C.M. Ahn, "A Study on the Current Status of Data Visualization," Proceeding of Symposium of the Korean Institute of Communications and Information Sciences, pp. 868-869, 2013.
  2. D3.js, https://d3js.org/ (accessed Dec., 20, 2016).
  3. R Project, https://www.r-project.org/ (accessed July, 10, 2016).
  4. Tableau Software, http://www.tableau.com/ (accessed Nov., 20, 2016).
  5. Google Spread Sheet, https://www.google.com/intl/ko/sheets/about/ (accessed July, 10, 2016).
  6. CartoDB, https://cartodb.com/ (accessed July, 10, 2016).
  7. D3 API Reference, https://github.com/d3/d3/blob/master/API.md (accessed July, 10, 2016).
  8. H.S. Lee and S.H. Lee, “An SVG Code Generator for Algorithm Visualization,” Journal of Korea Multimedia Society, Vol. 13, No. 3, pp. 359-368, 2010.
  9. H.J. Jeong, SNS Data Analysis and Visualization Using R and D3.js, Master's Thesis of Seoul National University of Science and Technology, 2015.
  10. B.J. Jang, S.H. Lim, S.H. Lee, K.S. Moon, V. Chandrasekar, and K.R. Kwon, “A Visualization Method of High Definition Weather Radar Information for Various GIS Platforms,” Journal of Korea Multimedia Society, Vol. 16, No. 11, pp. 1239-1249, 2013. https://doi.org/10.9717/kmms.2013.16.11.1239
  11. M. Scott, Interactive Data Visualization for the Web, O'Reilly Media, Sebastopol, California, 2013.
  12. T. Swizec, Data Visualization with D3.js, Packt Publishing Limited, Birmingham, United Kingdom, 2014.
  13. H. Kazuhiro, Introduction to D3.js, Freelec, Seoul, 2014.
  14. T.A. Slocum, R.B. McMaster, F.C. Kessler, and H.H. Howard, Thematic Cartography and Geovisualization, Pearson Education Limited, London, 2014.
  15. ColorBrewer, https://colorbrewer2.org/ (accessed July, 10, 2016).
  16. Node.js, https://nodejs.org/en/ (accessed July, 10, 2016).