MSc International Disaster Management / Course details
Year of entry: 2024
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Course unit details:
GIS and Disasters: A Critical Introduction
|Unit level||FHEQ level 7 – master's degree or fourth year of an integrated master's degree|
|Teaching period(s)||Semester 2|
|Available as a free choice unit?||No|
Geographic information systems (GIS) are computer systems for capturing, storing, analysing, displaying and sharing data related to positions on Earth's surface. GIS and the analysis of spatial data has application to many fields, such as environmental management, urban planning, business, government, as well as disaster management. Today more than ever we need innovative approaches to understanding and managing hazards, risk, and vulnerabilities to reduce negative disaster impacts.
In this course, students will be exposed to a range of transferrable GIS techniques and analysis tools and will learn how to apply these to various disaster management tasks, such as mapping vulnerability using census data, or modelling risk using meteorological and other physical geography data. Students will learn important cartographic principles and develop their own GIS maps. In addition to the practical components, the course will develop theoretical understandings and critically consider the appropriateness and implications of GIS approaches and map making.
The course aims to:
- Develop an understanding of spatial data and its analysis
- Develop spatial problem-solving abilities and practical skills in GIS analysis and cartography (focusing on QGIS and ArcGIS Online)
- Explore a broad set of applications of spatial data and GIS for crisis management and disaster risk reduction
- Critically reflect on the power, usefulness, and limitations of GIS and spatial data broadly and in disaster management
Knowledge and understanding
Demonstrate knowledge and understanding of:
- Different types of spatial data and how they are developed and analysed
- Current and potential applications of spatial data and GIS in disaster management
- Spatial analysis as a mechanism for assessing hazard risk and vulnerability
- The implications of GIS, including the power of maps to persuade, digital divides and unequal access to spatial information, contemporary trends and changing practices
- Identify and evaluate patterns and trends in spatial data
- Investigate dynamic phenomena through interrogation of spatial and temporal data
- Consider the influence of geography on different approaches to analysing and managing disasters
- Critically analyse the role of GIS and mapping in disaster management, and the underpinning theories
- Conduct a range of analyses on both vector and raster datasets
- Combine multiple data to address real world problems
- Cartography skills and the design and production of GIS maps
- Research skills, including planning, prioritisation of tasks, identification and location of sources, critical evaluation of findings
- Communicating analysis results in the form of map analysis
- Participation in online and in-class discussions
Transferable skills and personal qualities
- Spatial data analysis and interpretation skills
- Experience in preparing GIS maps of the same kind that may be used in academia, policy development, or the professional sector.
- Critical thinking, research and project management skills
- Skills to help them interpret current and future disaster risk and vulnerability
- Ethical awareness
- Professional knowledge and skills: GIS and spatial data analysis (ESRI ArcGIS in particular)
- Project management
- Time management
- Oral communication
- Communication skills
- Problem solving
- Problem solving skills
- Written communication
- Reporting of scientific data/analyses
- Ability to work independently
|Formative or Summative||Weighting within unit (%)|
Disaster mapping scenario exercise
Informal oral feedback during class/labs
Written feedback on on disaster map scenario returned to students according to SALC guidelines and time limits, using a bespoke rubric
Formative / summative
Additional one-to-one feedback (during the consultation hour or by making an appointment)
Blackboard discussion forum
Brewer, C.A. (2006). Basic mapping principles for visualizing cancer data using geographic information systems (GIS). American Journal of Preventative Medicine, 30(2S): S25-S36.
Canevari-Luzardo, L., Bastide, J., Choutet, I., and Liverman, D. (2017) Using partial participatory GIS in vulnerability and disaster risk reduction in Grenada, Climate and Development, 9:2, 95-109, DOI: 10.1080/17565529.2015.1067593
Cutter, S. (2003). GIScience, disasters, and emergency management. Transactions in GIS, 7(4): 439–445.
Dempsey, C. (2018) GIS Lounge at https://www.gislounge.com/free-gis-books/ (Accessed September 2022)
Esri (2022) Disaster Response Programme Webpage. Accessed September 2022 at https://www.esri.com/en-us/disaster-response/overview.
Esri (2022) Emergency and disaster management webpage. Accessed September 2022 at https://www.esri.com/en-us/industries/emergency-management/overview
Gaillard, J.C., and Pangilinan, M.L.C.J.D. (2010). Participatory mapping for raising disaster risk awareness among the youth. Journal of Contingencies and Crisis Management, 18(3): 175-179.
Goodchild, M.F., & Glennon, J.A. (2010). Crowdsourcing geographic information for disaster response: A research frontier. International Journal of Digital Earth, 3(3): 231-241.
Haworth, B.T. (2018). Implications of volunteered geographic information for disaster management and GIScience: A more complex world of volunteered geography. Annals of the American Association of Geographers, 108(1): 226-240.
Kelman, I. (2020). Disaster by Choice. Oxford and New York: Oxford University Press.
Kwan, M-P. (2002). Is GIS for women? Reflections on the critical discourse in the 1990s. Gender, Place and Culture: A Journal of Feminist Geography, 9(3): 271-279.
Meier, P. (2012). Crisis mapping in action: how open source software and global volunteer networks are changing the world, one map at a time. Journal of Map and Geography Libraries, 8: 89–100.
Monmonier, M. (2005). Lying with maps. Statistical Science, 20(3): 215-222.
Ntajal, J., Lamptey, B. L., Mahamadou, I. B., & Nyarko, B. K. (2017). Flood disaster risk mapping in the lower Mono river basin in Togo, West Africa. International journal of disaster risk reduction, 23: 93-103.
Teeuw, R. M., & Leidig, M. (2019). Uses of free geoinformatics for disaster risk reduction in small island developing states–a case study from Honiara, Solomon Islands. Strengthening disaster resilience in small states, 1-12
Tomaszewski, B. (2020). Geographic Information Systems (GIS) for Disaster Management (2nd Edition). Routledge. 482 pages. Tran, P., Shaw, R., Chantry, G. & Norton, J. (2009). GIS and local knowledge in disaster management: a case study of flood risk mapping in Viet Nam. Disasters, 33(1): 152-169.
Zerger A., Ingle-Smith D., (2003) Impediments to using GIS for real-time disaster decision support, Computers, Environment and Urban Systems, 27(2): 123-141 https://doi.org/10.1016/S0198-9715(01)00021-7
|Scheduled activity hours|
|Independent study hours|
|Martin Parham||Unit coordinator|