Teaching
Geodemographics Analysis and Methods
Geodemographic classifications organize areas into categories sharing similarities across multiple socioeconomic attributes. These classifications have either a national extent or localized focus (e.g., a region) and are built to describe the generalities of places or to examine the geography of specific domains of interest (e.g., health). Within a geodemographic typology, each cluster is identified from a distinctive collection of attributes; for example, wealthy neighborhoods, where most households comprise older individuals living within apartments. Clusters are typically named by the classification builder (e.g., Elderly Suburbs) and are accompanied by rich media descriptions.
Urban Analyitics
Urban Analytics is a broad interdisciplinary field that focuses on the use of data to study cities. The economic and political situation of cities has shifted in recent years, as have the data economies within which they operate. These new economic and political challenges include: rapid growth amidst infrastructure decline, the suburbanization of poverty and inner city revitalization (and displacement), and how to utilize data from “smart” infrastructure. While these changes have been underway for decades, the availability of real time urban data potentially transforms both the study and management of cities. Over the past 5 years the way that data are used to understand urban systems has changed dramatically.
Modules for 2023-24
Data Science for Social Sciences
Module code: ENVS803
Role: Module Co-ordinator
Programming for Social Sciences
Module code: ENVS802
Role: Module Co-ordinator
Understanding Data and its Environment
Module code: ENVS801
Role: Module Co-ordinator
Supervised Theses
- Characterising urban processes using new forms of data and analysis
- Exploring Place from the Perspective of Informal Social Media Text
- Retail Centre Geographies: Who, What, Where and How
- Sensing Dynamic Retail Environments