TALISMAN: Geospatial Data Analysis and Simulation

Principal Investigator: Professor Mark Birkin

TALISMAN developed methods for geospatial data analysis and simulation in their programme of research, specifically models of spatial systems that emphasise interactions which reflect potential and flows at and between locations. The methods researchers at TALISMAN developed are based on spatial interaction, agent-based models (ABM), cellular automata (CA), and microsimulation methods that span the range from aggregate to individual populations, at different spatial scales and over different temporal periods. Cutting across these models are new developments in computer media that emphasise new ways of collecting data from the bottom up, popularly referred to as 'crowd-sourcing' and new methods of visualising model inputs, outputs and the process of model building using new methods of visual analytics.

TALISMAN developed models which are part of a long tradition in applied geography and urban and regional economics. TALISMAN progressed these models in various forms, developing more generic types of models and methods for their implementation through calibration and use in forecasting. Their emphasis was on developing substantive extensions to these models by embedding them in new media using Web 2.0 and 3.0 technologies as well as improving them through participatory involvement of model builders and stakeholders in both the academic community and the outside world.

TALISMAN ran a training and capacity building programme which included a series of modules reflecting the latest progress in spatial modelling as well as new developments in data sharing, sourcing and visualisation.


Impacts (March 2013)


TALISMAN was based at the Centre for Spatial Analysis & Policy (CSAP) at University of Leeds and Centre for Advanced Spatial Analysis (CASA) at UCL. For further information please go to the TALISMAN website.