GY245      Half Unit
Quantitative Methods in Geography and GIS

This information is for the 2025/26 session.

Course Convenor

Availability

Requisites

Additional requisites:

GY140 Introduction to Geographical Research or a 1st year statistics course such as ST107 Quantitative Methods (Statistics) 

This course provides students with an introduction to quantitative methods applied in geography, specifically regression analysis and Geographical Information Systems (GIS). An understanding of quantitative methods of this type is essential not only for those who wish to conduct their own research but also for becoming critical consumers of research studies as the availability of geospatial data increases. The first part of the course is devoted to the principles of regression analysis as applied to quantitative social science. The second part of the course introduces students to the use of GIS in research. Theoretical discussion in the lectures is accompanied by practical computer classes in which students learn how to apply these methods on real data sets. The practical classes develop a range of skills which lead on to an assessed practical project.

Some of the topics covered in the first part of the course include an introduction to quantitative methods, linear and multiple regression analysis, hypothesis testing, and practical applications of regression in project work. The second part of the course delves into the fundamentals of GIS, exploring subjects like types of spatial data, coordinate systems, spatial operations, and examples of GIS applied in research.

15 hours of lectures and 8 hours of classes in the Autumn Term.

This course has a reading week in Week 6 of Autumn Term.

In the Department of Geography and Environment, teaching will be delivered through a combination of classes/seminars, pre-recorded lectures, live online lectures and other supplementary interactive live activities.

Formative work includes exercises and questions designed to enhance understanding of the course material through practical application.

• Studenmund, A.H., Using Econometrics: A Practical Guide. Longman: London.
• Bernhardsen, T (2002), Geographic Information Systems: An Introduction. New York: John Wiley and Sons.
• Gimond (2023). Intro to GIS and Spatial Analysis.

Project (100%, 3000 words)