Integrating Spatial and Ethnographic Methods for Resilience Research: A Thick Mapping Approach for Hurricane Maria in Puerto Rico. Issue 8 (11th November 2022)

• Record Type: Journal Article
• Authors: Carvalhaes, Thomaz; Rinaldi, Vivaldi; Goh, Zhen; Azad, Shams; Uribe, Juanita; Ghandehari, Masoud
• Is Part Of: Annals of the American Association of Geographers. Volume 112:Issue 8(2022)
• Page Start: 2413
• Page End: 2435
• Publication Date: 2022-11-11
• Subjects: complexity, Hurricane Maria, mixed methods, resilience, thick mapping; 复杂性 -- 玛丽亚飓风 -- 恢复力 -- 厚制图。; complejidad -- Huracán María -- mapeo grueso -- resiliencia; Geography -- Periodicals; Environmental sciences -- Periodicals; Geography; Electronic journals; Periodicals; 550
• DOI: 10.1080/24694452.2022.2071200
• Languages: English
• ISSNs: 2469-4452

Abstract

Abstract : Hurricane Maria left unprecedented impacts on Puerto Rican communities, leaving some without infrastructure services and unable to communicate with family for several months. To understand the forms of community-level resilience that emerged while hard infrastructure systems took time recover, this article (1) abductively explores resilience as an emergent phenomenon of complex adaptive systems; (2) identifies subsequent forms of social capital, local adaptive capacities, and manifestations of quantifiable variables, such as infrastructure performance, in community experiences; and (3) demonstrates a framework to integrate disparate methodologies for resilience assessments via a multiplicity of mappings of space and place. We combine ethnographic and geospatial methods into an interactive GeoApp for analysis using participant-coded narratives and a series of geospatial indicators as a thick map. Thick mapping facilitates quantitative and qualitative data analysis at several scales, while enabling qualitative query of collected narratives. Results highlight local innovation, community bonding and bridging, and nuances in the role of public institutions as emergent elements of resilience. The thick map shows how top-down assessments can be augmented by thick data and how multiple framings can be anchored in the same system or place. These findings are important to inform and integrate community-oriented and technocentric solutions toward resilience-enhancing measures.