Corpus ID: 13427405

Identification of disaster-affected areas using exploratory visual analysis of georeferenced Tweets: application to a flood event

@inproceedings{Cerutti2016IdentificationOD,
  title={Identification of disaster-affected areas using exploratory visual analysis of georeferenced Tweets: application to a flood event},
  author={Valentina Cerutti and Georg Fuchs and Gennady L. Andrienko and Natalia V. Andrienko and Frank O. Ostermann},
  booktitle={GIScience 2016},
  year={2016}
}
To enable decision makers to conduct a rapid assessment of the situation during the disaster response phase and improve situational awareness, we propose an approach to identify affected areas using geo-spatial footprints. These geo-spatial footprintssummarize information and threats and are derived from georeferenced social media messages and authoritative data sources. The combination of data mining techniques for data pre-processing and exploratory visual analysis is a promising approach for… Expand

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