Geospatial Analytics and Computing (GSAC)

The Geospatial Analytics and Computing (GSAC) Group engages with the unique, complex and difficult issues that arise in answering the question ‘where?’

Academic Staff | Researchers | Management | PhD Students | Recent Alumni | Top

The Geospatial Analytics and Computing (GSAC) Group engages with the unique, complex and difficult issues that arise in answering the question ‘where?’ Research thus addresses emerging themes and issues that have a bearing on economic, social and policy questions.

GSAC researches and develops best practice through:

• Assembling, linking, visualising and analysing diverse new and existing data sources, cognisant of relevant underpinning technologies and social processes;
• Developing mathematical, probabilistic 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;
• Critical engagement with geographically enabled AI methods;
• Developing substantive research applications in social and spatial mobility, housing market analysis, demography, disaster risk reduction, urban design, retailing, epidemiology and public 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 cluster’s primary active affiliated grant project is the ESRC Geographic Data Service (GeoDS) (2025-2029), of which the group forms a core part. This is the successor major ESRC investment to the Consumer Data Research Centre. 

Back to Top

Academic Staff

• Professor Paul Longley (Cluster Lead)
• Professor James Cheshire
• Dr Rory Coulter
• Dr Stephen Law
• Dr Anwar Musah
• Dr Justin van Dijk
• Dr Henrikki Tenkanen

Back to Top

Researchers

• Dr Bin Chi
• Dr Maurizio Gibin

Back to Top

Management 

• Richard Arnold
• Oliver O'Brien
• Rebecca Trumble

Back to Top

PhD Students

• Rob Davidson
• Hamish Gibbs 
• Michal Iliev
• Shunya Kimura
• Mikaella Mavrogeni
• Nikki Tanu
• Michael Xiao

Back to Top

Recent Alumni

• Alfie Long
• Abigail Hill
• Byeongwha Jeong
• Jakub Wyszomierski
• James Todd
• Jason Tang
• Louise Sieg
• Jens Kandt

Back to Top