Geovisualization and correlation analysis between geotagged Twitter and JMA rainfall data: Case of heavy rain disaster in Hiroshima

Ko Ko Lwin, Koji Zettsu, Komei Sugiura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

With the development of wireless communication technology along with emergence of location-enabled mobile devices and cyber-physical social sensor networks, nowadays we can collect and store a large amount of geospatial data such as weather phenomena, human mobility, and social networking activities along with time of occurrence. Information or knowledge extraction from this so-called Big Data is a challenge to many geospatial information users due to the nature of data complexity and large data volume. In this article, we discuss handling of Big Data with GIS by utilizing 10-minute intervals of Japan Metrological Agency (JMA) rainfall data synchronized with Twitter messages by specific keywords like 'rain' or/and 'landslide' to analyse the relationship between environmental phenomena and social responses in heavy rain conditions in the Hiroshima region. The results were analysed and visualized through a geovisualization technique to evaluate the possible use of inputs from social media websites to the government decision-making process, especially for disaster and emergency preparedness in the near future.

Original languageEnglish
Title of host publicationICSDM 2015 - Proceedings 2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services
EditorsChongcheng Chen, Diansheng Guo, Yee Leung
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages71-76
Number of pages6
ISBN (Electronic)9781479977482
DOIs
Publication statusPublished - 2015 Oct 13
Externally publishedYes
Event2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, ICSDM 2015 - Fuzhou, China
Duration: 2015 Jul 82015 Jul 10

Publication series

NameICSDM 2015 - Proceedings 2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services

Conference

Conference2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, ICSDM 2015
CountryChina
CityFuzhou
Period15/7/815/7/10

Keywords

  • Big data
  • Correlation analysis
  • Geotagged Twitter
  • Heavy rain
  • JMA rainfall

ASJC Scopus subject areas

  • Software
  • Computer Science Applications

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    Lwin, K. K., Zettsu, K., & Sugiura, K. (2015). Geovisualization and correlation analysis between geotagged Twitter and JMA rainfall data: Case of heavy rain disaster in Hiroshima. In C. Chen, D. Guo, & Y. Leung (Eds.), ICSDM 2015 - Proceedings 2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services (pp. 71-76). [7298028] (ICSDM 2015 - Proceedings 2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICSDM.2015.7298028