@inproceedings{edd11c21558a4276b07ad380b3a794d5,
title = "Geovisualization and correlation analysis between geotagged Twitter and JMA rainfall data: Case of heavy rain disaster in Hiroshima",
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.",
keywords = "Big data, Correlation analysis, Geotagged Twitter, Heavy rain, JMA rainfall",
author = "Lwin, {Ko Ko} and Koji Zettsu and Komei Sugiura",
year = "2015",
month = oct,
day = "13",
doi = "10.1109/ICSDM.2015.7298028",
language = "English",
series = "ICSDM 2015 - Proceedings 2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "71--76",
editor = "Chongcheng Chen and Diansheng Guo and Yee Leung",
booktitle = "ICSDM 2015 - Proceedings 2015 2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services",
note = "2nd IEEE International Conference on Spatial Data Mining and Geographical Knowledge Services, ICSDM 2015 ; Conference date: 08-07-2015 Through 10-07-2015",
}