The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Crowdsourcing geographic information for disaster response: a research frontier
Open accessAbstract
Geographic data and tools are essential in all aspects of emergency management: preparedness, response, recovery, and mitigation. Geographic information created by amateur citizens, often known as volunteered geographic information, has recently provided an interesting alternative to traditional authoritative information from mapping agencies and corporations, and several recent papers have provided the beginnings of a literature on the more fundamental issues raised by this new source. Data quality is a major concern, since volunteered information is asserted and carries none of the assurances that lead to trust in officially created data. During emergencies time is the essence, and the risks associated with volunteered information are often outweighed by the benefits of its use. An example is discussed using the four wildfires that impacted the Santa Barbara area in 2007–2009, and lessons are drawn.
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Cites
Citizens as sensors: the world of volunteered geography
Goodchild, M. F. (2007) · GeoJournal · doi:10.1007/s10708-007-9111-y · Cited by 4,522
Self-citationInternet encyclopaedias go head to head
Giles, J. (2005) · Nature · doi:10.1038/438900a · Cited by 1,978
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Crowdsourcing: Why the Power of the Crowd Is Driving the Future of Business
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The Accuracy Of Spatial Databases
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Uncertainty in Geographical Information
Zhang, J., & Goodchild, M. F. (2002) · Taylor & Francis eBooks · doi:10.4324/9780203471326 · Cited by 426
Self-citationModelling vague places with knowledge from the Web
Jones, C. B., Purves, R. S., Clough, P. D., & Joho, H. (2008) · International Journal of Geographical Information Science · doi:10.1080/13658810701850547 · Cited by 345
NeoGeography and the nature of geographic expertise
Goodchild, M. (2009) · Journal of Location Based Services · doi:10.1080/17489720902950374 · Cited by 312
Self-citationElements of Spatial Data Quality
(1995) · Elsevier eBooks · doi:10.1016/c2009-0-14900-0 · Cited by 306
Cited by
Assuring the quality of volunteered geographic information
Goodchild, M. F., & Li, L. (2012) · Spatial Statistics · doi:10.1016/j.spasta.2012.03.002 · Cited by 771
Self-citationGeospatial big data handling theory and methods: A review and research challenges
Li, S., Dragicevic, S., Castro, F. A., Sester, M., Winter, S., Coltekin, A., Pettit, C., Jiang, B., Haworth, J., Stein, A., et al. (2016) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2015.10.012 · Cited by 749
Social Media Mining: An Introduction
Zafarani, R., Abbasi, M. A., & Liu, H. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9781139088510 · Cited by 592
Whittaker, J., McLennan, B., & Handmer, J. (2015) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2015.07.010 · Cited by 542
Applications of artificial intelligence for disaster management
Sun, W., Bocchini, P., & Davison, B. D. (2020) · Natural Hazards · doi:10.1007/s11069-020-04124-3 · Cited by 491
Metadata
- Authors
- Goodchild, M. F., & Glennon, J. A.
- Venue
- International Journal of Digital Earth
- Publisher
- Informa UK Limited
- Published
- 2010-04-15
- Volume
- 3
- Issue
- 3
- Pages
- 231-241
- ISSN
- 1753-8947 (ISSN-L)
- 1753-8955
- OpenAlex
- W2042713681
- Cited by
- 909
- References
- 13
- FWCI
- 272.15
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.