The Geospatial Analytics and Computing (GSAC) Group engages with the unique, complex and difficult issues that arise in answering the question ‘where?’
GSAC researches and develops best practice through:
- Assembling, linking, visualising and analysing diverse data sources, cognisant of relevant underpinning technologies and social processes;
- Developing mathematical and computational models of social systems and the social connectivity that creates and sustains them;
- Designing systems for sensing, modelling, understanding and predicting human activities in space and time using the "digital traces" that we humans generate on a daily basis;
- Developing substantive research applications in social and spatial mobility, housing market analysis, demography, disaster recovery, urban design, retailing and health;
- Cross-cutting multi-disciplinary research with computer science, civil and geomatic engineering, materials science and bioscience;
- Teaching initiatives, such as Q-Step, and best-selling books in the field, such as Geographic Information Science and Systems and London: the Information Capital.
Together or singly, members of the Group hold grants from a wide range of funding sources, and members of the Group supervise a large number of PhD students.
Past research students and postdoctoral research associates of GSAC staff have gone on to academic faculty positions at a range of prestigious universities worldwide, or senior research positions in business or government.
The centre’s primary active affiliated grant project is that the group forms a core part of the ESRC Consumer Data Research Centre (CDRC) (2014-2024).
- Academic Staff
- PhD Students
- Recent Alumni
- Alfie Long
- Abigail Hill
- Byeongwha Jeong
- Jakub Wyszomierski
- James Todd
- Jason Tang
- Louise Sieg
- Jens Kandt