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Volumn , Issue , 2014, Pages 747-751

Does the spatiotemporal distribution of tweets match the spatiotemporal distribution of flood phenomena? A study about the River Elbe Flood in June 2013

Author keywords

Crisis management; Flood; Situational awareness; Social media; Twitter; Water level

Indexed keywords

CATCHMENTS; DATA MINING; INFORMATION SYSTEMS; SOCIAL NETWORKING (ONLINE); SPATIAL DISTRIBUTION; WATER LEVELS;

EID: 84905833906     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (25)

References (8)
  • 1
    • 84905835204 scopus 로고    scopus 로고
    • Digital trails of the UK floods-how well do tweets matchobservations?
    • Accessed 20 June 2013
    • Graham M, Poorthuis A, Zook M (2012) Digital trails of the UK floods-how well do tweets matchobservations?, The Guardian Datablog; http://www.guardian. co.uk/news/datablog/2012/nov/28/data-shadows-twitter-uk-floods-mapped. Accessed 20 June 2013
    • (2012) The Guardian Datablog;
    • Graham, M.1    Poorthuis, A.2    Zook, M.3
  • 6
    • 0000565591 scopus 로고
    • A computer movie simulating urban growth in the Detroit region
    • Tobler, W. R. (1970). A computer movie simulating urban growth in the Detroit region. Economicgeography, 46, 234-240.
    • (1970) Economicgeography , vol.46 , pp. 234-240
    • Tobler, W.R.1
  • 7
    • 84905819287 scopus 로고    scopus 로고
    • Using volunteered geographical information to map theNovember 2012 floods in Slovenia
    • Triglav-Čekada, M., &Radovan, D. (2013). Using volunteered geographical information to map theNovember 2012 floods in Slovenia. Natural Hazards and Earth System Sciences, 1(3), 2859-2881.
    • (2013) Natural Hazards and Earth System Sciences , vol.1 , Issue.3 , pp. 2859-2881
    • Triglav-Čekada, M.1    Radovan, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.