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- Schumann, Ronald L.
- Applied geography 2018 v.99 pp. 63-76
- disaster recovery; disasters; geography; spatial data; Mississippi
- ... Quantitative approximations of community-level recovery are a mainstay in disaster science. These longitudinal spatial metrics, which chart the status of housing stock, economic indices, or demographic change post-disaster, aim to make the complex recovery process more understandable. The question remains, however, whether these technical approaches often imposed by outside researchers draw the sa ...
- Schumann, Ronald L., III, et al. Show all 3 Authors
- GeoJournal 2019 v.84 no.1 pp. 273-289
- disasters; focus groups; interviews; risk reduction; roots; social sciences; surveys
- ... While still a nascent field, disaster science is surprisingly methodologically stagnant, often relying solely on traditional surveys, interviews, and focus groups to gather qualitative data. Social science disciplines that have long contributed to disaster research and the practice of emergency management, however, have begun to explore the value of alternative, participatory methodologies and the ...