A geographic approach for combining social media and authoritative data towards identifying useful information for disaster management
- Submitting institution
-
The University of Warwick
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 5948
- Type
- D - Journal article
- DOI
-
10.1080/13658816.2014.996567
- Title of journal
- International Journal of Geographical Information Science
- Article number
- -
- First page
- 667
- Volume
- 29
- Issue
- 4
- ISSN
- 1365-8816
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
3
- Research group(s)
-
I - Artificial Intelligence and Human-Centred Computing
- Citation count
- 148
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This influential paper (1% most cited in CS according to Scopus), in a top journal in the field, pioneered spatial analysis of social media for disaster management, combining geostatistical methods, qualitative analysis and environmental data. Its methodological and empirical contributions enabled further research and applications to extract information from social media in several fields (e.g. cited in ACM WWW, IEEE Big Data, Physics Reports, Global Environmental Change). It has led to follow-on grants from GCRF/EPSRC (£50k) and Belmont Forum/ESRC (€1M) with the National Disaster Monitoring and Early-Warning Centre Brazil, who are incorporating results in operational flood early warning (contact: victor.marchezini@cemaden.gov.br).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
