GEO275   Geographical Data in the World   (10 credits)

Description

Understanding data collection, analysis and presentation is an integral part of being a well-rounded geographer. Indeed, many problems in physical and human geography, demand the interpretation and interrogation of large datasets, which often necessitates the use of statistical techniques. The module is designed to provide students with a solid grounding in handling large datasets and the proper application of statistical methods in geographical analysis, and an appreciation of their role in the study of contemporary social and environmental processes. This is achieved through a combination of lectures, practicals and seminars which cover the underlying ideas, provide hands-on experience and give examples of the methods' application in the literature. The module covers hypothesis testing, bivariate inferential methods, and multivariate inferential methods.

Reading List