Spatial quantification of community resilience in contexts where quantitative data are scarce: The case of Muzarabani district in Zimbabwe
There has been an upsurge in tools for measuring resilience of the past decade. Despite this progress, we argue, there are few studies focusing on the spatial quantification of resilience in the context of multiple hazards, particularly in developing countries. Placing a particular emphasis on the c...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-07-01
|
| Series: | Geo: Geography and Environment |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/geo2.65 |
| _version_ | 1828827559399260160 |
|---|---|
| author | Emmanuel Mavhura Bernard Manyena |
| author_facet | Emmanuel Mavhura Bernard Manyena |
| author_sort | Emmanuel Mavhura |
| collection | DOAJ |
| description | There has been an upsurge in tools for measuring resilience of the past decade. Despite this progress, we argue, there are few studies focusing on the spatial quantification of resilience in the context of multiple hazards, particularly in developing countries. Placing a particular emphasis on the contribution of geography to resilience studies, this paper examines the spatial variation of community resilience to disasters in Muzarabani, Zimbabwe. Place‐specific resilience variables are selected from the 2012 national census report to develop a disaster resilience index for Muzarabani district. A principal component analysis technique was used to analyse the overall and subcomponents of resilience to identify wards that needed policy intervention. Using the Geographical Information Systems tool to model the spatial variation of community resilience and its subcomponents, we found a geographic variation in community resilience across Muzarabani district, with the majority of the wards scoring low to below low levels of overall resilience. Although we view this study as being complementary to qualitative studies, it would appear quantifying and visualising resilience provide possible explanations and actions required for decision‐makers to address the resilience gaps and disaster risk reduction broadly. |
| first_indexed | 2024-12-12T15:03:04Z |
| format | Article |
| id | doaj.art-0a734637131e45dcb870078141c4d528 |
| institution | Directory Open Access Journal |
| issn | 2054-4049 |
| language | English |
| last_indexed | 2024-12-12T15:03:04Z |
| publishDate | 2018-07-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geo: Geography and Environment |
| spelling | doaj.art-0a734637131e45dcb870078141c4d5282022-12-22T00:20:46ZengWileyGeo: Geography and Environment2054-40492018-07-0152n/an/a10.1002/geo2.65Spatial quantification of community resilience in contexts where quantitative data are scarce: The case of Muzarabani district in ZimbabweEmmanuel Mavhura0Bernard Manyena1Department of Geography and Disaster Management Bindura University of Science Education Bindura ZimbabweFaculty of Engineering and Environment, Geography and Environmental Sciences Northumbria University Newcastle Upon Tyne UKThere has been an upsurge in tools for measuring resilience of the past decade. Despite this progress, we argue, there are few studies focusing on the spatial quantification of resilience in the context of multiple hazards, particularly in developing countries. Placing a particular emphasis on the contribution of geography to resilience studies, this paper examines the spatial variation of community resilience to disasters in Muzarabani, Zimbabwe. Place‐specific resilience variables are selected from the 2012 national census report to develop a disaster resilience index for Muzarabani district. A principal component analysis technique was used to analyse the overall and subcomponents of resilience to identify wards that needed policy intervention. Using the Geographical Information Systems tool to model the spatial variation of community resilience and its subcomponents, we found a geographic variation in community resilience across Muzarabani district, with the majority of the wards scoring low to below low levels of overall resilience. Although we view this study as being complementary to qualitative studies, it would appear quantifying and visualising resilience provide possible explanations and actions required for decision‐makers to address the resilience gaps and disaster risk reduction broadly.https://doi.org/10.1002/geo2.65disaster resiliencegeographical information systemsprincipal component analysisresilience geographiesresilience variablesZimbabwe |
| spellingShingle | Emmanuel Mavhura Bernard Manyena Spatial quantification of community resilience in contexts where quantitative data are scarce: The case of Muzarabani district in Zimbabwe Geo: Geography and Environment disaster resilience geographical information systems principal component analysis resilience geographies resilience variables Zimbabwe |
| title | Spatial quantification of community resilience in contexts where quantitative data are scarce: The case of Muzarabani district in Zimbabwe |
| title_full | Spatial quantification of community resilience in contexts where quantitative data are scarce: The case of Muzarabani district in Zimbabwe |
| title_fullStr | Spatial quantification of community resilience in contexts where quantitative data are scarce: The case of Muzarabani district in Zimbabwe |
| title_full_unstemmed | Spatial quantification of community resilience in contexts where quantitative data are scarce: The case of Muzarabani district in Zimbabwe |
| title_short | Spatial quantification of community resilience in contexts where quantitative data are scarce: The case of Muzarabani district in Zimbabwe |
| title_sort | spatial quantification of community resilience in contexts where quantitative data are scarce the case of muzarabani district in zimbabwe |
| topic | disaster resilience geographical information systems principal component analysis resilience geographies resilience variables Zimbabwe |
| url | https://doi.org/10.1002/geo2.65 |
| work_keys_str_mv | AT emmanuelmavhura spatialquantificationofcommunityresilienceincontextswherequantitativedataarescarcethecaseofmuzarabanidistrictinzimbabwe AT bernardmanyena spatialquantificationofcommunityresilienceincontextswherequantitativedataarescarcethecaseofmuzarabanidistrictinzimbabwe |