Abstract
When evaluating environmental challenges such as vulnerability to natural hazards, it is important to consider both the physical exposure as well as the socio-demographic characteristics of a population. Human populations and their characteristics vary considerably over space and time. This paper introduces and evaluates an open-source resource that has been developed to introduce students in higher education to the quantitative skills required to evaluate pressing social and environmental challenges. It utilises census and hazard data within QGIS and R for a flood risk example in southwest England. A standalone online practical resource supports students to obtain, prepare, visualise and analyse geospatial data with reference to population characteristics. Within the exemplar provided, it is determined that there is a significant (p < 0.01) but small difference in the population exposed to flood risk based on socio-economic classification within SW England. The resource is reviewed following student feedback as well as a discussion for its use as a possible outreach tool.
Original language | English |
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Pages (from-to) | 1-7 |
Number of pages | 7 |
Journal | Journal of Geography in Higher Education |
DOIs | |
Publication status | Published - 31 May 2024 |
ASJC Scopus subject areas
- Geography, Planning and Development
- Education
Keywords
- Big data
- GIS
- flood risk
- open source
- quantitative geography