Extracting and classifying typhoon disaster information based on volunteered geographic information from Chinese Sina microblog

Author:

Zhao Qiansheng1ORCID,Chen Zi2,Liu Chang1,Luo Nianxue1

Affiliation:

1. School of Geodesy and GeomaticsWuhan University Wuhan China

2. School of Civil and Environmental EngineeringUniversity of New South Wales Kingsford NSW Australia

Funder

Ministry of Science and Technology of the People's Republic of China

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference23 articles.

1. Civil Affairs Ministry.http://cbzs.mca.gov.cn

2. Big data solution of event situation awareness and decision making;Zeng D;Emerg Response China,2013

3. Volunteered Geographic Information in Natural Hazard Analysis: A Systematic Literature Review of Current Approaches with a Focus on Preparedness and Mitigation

4. Highlighting Current Trends in Volunteered Geographic Information

5. Implications of volunteered geographic information for disaster management and GIScience: a more complex world of volunteered geography;Haworth BT;Ann Am Assoc Geogr

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