Journal of the Korean Data and Information Science Society

한국데이터정보과학회 (The Korean Data and Information Science Society)
권호 표지
DOI QR코드

DOI QR Code

구글 지도에 통계정보를 표현하기 위한 R 함수 개발

Development of a R function for visualizing statistical information on Google static maps

  • Han, Kyung-Soo (Department of Statistics, Chonbuk National University) ;
  • Park, Se-Jin (Department of Statistics, Chonbuk National University) ;
  • Ahn, Jeong-Yong (Department of Statistics, Chonbuk National University)
  • 투고 : 2012.08.07
  • 심사 : 2012.09.12
  • 발행 : 2012.09.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

구글 지도는 지리 정보를 갖는 데이터에 대한 통계정보를 제공하기 위한 보편화된 수단의 하나로 자리매김하고 있다. 본 연구에서는 R에서 구글 지도를 활용하는 방법에 대해 소개하고, 구글 지도상에 다양한 통계그래프를 표현하기 위한 R 함수를 개발한다. 개발된 함수를 통하여 막대그래프, 원형그래프, 사각형그래프 등과 같은 다양한 통계그래프를 지도상에 표현할 수 있다.

Google map has become one of the most recognized and comfortable means for providing statistical information of geographically referenced data. In this article, we introduce R functions to embed google map images on R interface and develop a function to represent statistical graphs such as bar graph, pie chart, and rectangle graph on a google map images.

키워드

참고문헌

  1. Armstrong, M. P., Xiao, N. and Bennett, D. A. (2004). Using genetic algorithms to create multicriteria class intervals for choropleth maps. Annals of the Association of American Geographers, 93, 595-623.
  2. Bornmann, L. and Leydesdorff, L. (2011). Which cities produce more excellent papers than can be expected? A new mapping approach, using Google maps, based on statistical significance testing. Journal of the American Society for Information Science and Technology, 62, 1954-1962. https://doi.org/10.1002/asi.21611
  3. Cromley, R. G. and Cromley, E. K. (2009). Choropleth map legend design for visualizing community health disparities. International Health Geographics, 8, 52. https://doi.org/10.1186/1476-072X-8-52
  4. Fu, J. and Zhang, Y. (2012). Visualizing spatial data using SAS and Google static maps. Proceedings of the SAS Global Forum, http://support.sas.com/resources/papers/proceedings12/266-2012.pdf.
  5. Hwang, J. T. (2008). An embedded google earth/maps application on real estate database inquiry and display. Proceedings of the International Conference for Photogrammetry and Remote Sensing, 37, 785-790.
  6. Jung, B. J. and Pak, R. J. (2011). Contingent valuation method implemented by R: Case study - measuring value of information. Journal of the Korean Data & Information Science Society, 22, 1041-1051.
  7. Kobayashi, S., Fujioka, T., Tanaka, Y., Inoue, M., Niho, Y. and Miyoshi, A. (2010). A geographical information system using the Google map API for guidance to referral hospitals. Journal of Medical Systems, 34, 1157-1160. https://doi.org/10.1007/s10916-009-9335-0
  8. Lee, B. H. and Marcovitz, M. S. (2011). When oil and water mix: Temperature and salinity changes in the gulf after the BP catastrophe. Proceedings of the Joint Statistical Meetings Section on Statistical Graphics, 4656-4664.
  9. Li, T., Gao, C. and Xu, M. (2011). Analysis on deep water horizon oil spoil by boosting tree and varying coefficient logistic regression. Proceedings of the Joint Statistical Meetings Section on Statistical Graphics, 4484-4493.
  10. Lin, S., Gao, Z. and Xu, K. (2009). Web 2.0 traffic measurement - Analysis on online map applications. Proceedings of the International Workshop on Network and Operating Systems Support for Digital Audio and Video, 7-12.
  11. Miller, C. (2006). A beast in the field: The google maps mashup as GIS/2. Cartographica, 41, 187-199. https://doi.org/10.3138/J0L0-5301-2262-N779
  12. Murray, A. T. and Shyy, T. K. (2000). Integrating attribute and space characteristics in choropleth display and spatial data mining. International Journal of Geographical Information Science, 14, 649-667. https://doi.org/10.1080/136588100424954
  13. Song, G. M., Moon, J. E. and Park, C. Y. (2011). Realization of an outlier detection algorithm using R. Journal of the Korean Data & Information Science Society, 22, 449-458.
  14. Tanimura, S., Kuroiwa, C. and Mizota, T. (2006). Proportional symbol mapping in R. Journal of Statistical Software, 15.
  15. Wainer, H. (2007). Improving data displays: Ours and the media's. Chance, 20, 8-15.
  16. Wright, J. K. (1938). Notes on statistical mapping, with special reference to the mapping of population phenomena, Population Association of America, Washington.
  17. Yazdanparast, A., Tran, T. and Suess, E. A. (2011). Effect of oil spill on birds: A graphical assay of the deepwater horizon oil spill's impact on birds. Proceedings of the Joint Statistical Meetings Section on Statistical Graphics, 5529-5539.

피인용 문헌

  1. Analysis of big data using Rhipe vol.24, pp.5, 2013, https://doi.org/10.7465/jkdi.2013.24.5.975
  2. Visualization and interpretation of cancer data using linked micromap plots vol.25, pp.6, 2014, https://doi.org/10.7465/jkdi.2014.25.6.1531