Risk analysis and visualization for detecting signs of flood disaster in Twitter

Author:

Kwon Hoe Yun,Kang Young Ok

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computers in Earth Sciences,Computer Science Applications,Geography, Planning and Development

Reference23 articles.

1. National Disaster Management Institute. (2013). Social big data operation plan for disaster management and sensing algorithm of disaster issues. Seoul: National Disaster Management Institute.

2. Park, J. H., & Kang, Y. O. (2014). An analysis of spatial characteristics of residential satisfaction in Seoul using tweet data. Journal of the Korean Urban Geographical Society, 17(1), 43–56.

3. Kang, Y. O., Park, J. H., & Kang, A. T. (2014). An analysis on the spatial characteristics of satisfaction on the residential environment using tweets. International Journal of Geospatial and Environmental Research, 1(2), 1–16.

4. Committee for Korea Information Strategy. (2012). Current status and future plan for big data. Seoul: Committee for Korea Information Strategy.

5. Shim, J. S., Kim, J. S., & Lee, S. H. (2014). Local analysis of the spatial characteristics of urban flooding areas using GWR. Journal of Environmental Impact Assessment, 23(1), 39–50.

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