TALISMAN is a node of the National Centre for Research Methods (NCRM) and is funded through the Economic and Social Research Council (ESRC) as part of a strategy to improve the standard of research methods across the UK social science community.  The key rationale for TALISMAN is to act as a catalyst for methodological innovation by forging strong links between research and capacity building in geospatial analysis and simulation. TALISMAN is based at the University of Leeds and the University College London.

The interactive system is designed to be non intrusive while enabling members of the pubic to simply type in their thoughts and interpretation of museum objects and click ‘send’. Their interpretation become part of the objects history and ultimately the display itself via the interactive label system to allow the display of comments and information directly next to the artefacts.

By downloading a free application to an iPhone or android phone, visitors are able to see rolling updates to the digital label after they leave the museum, or via twitter. Participants are also able to take part in the conversation online via the QRator site with comments appearing live within the museum.

Content currently covers two museums at UCL; The Grant Museum of Zoology and The Petrie Museum of Egyptology. he Grant Museum of Zoology is one of the oldest natural history collections in England, dating back to 1827. The collection comprises over 68,000 skeletal, taxidermy and wet specimens, covering the whole of the animal kingdom. Many of the species are now endangered or extinct including the Tasmanian tiger or thylacine, the quagga and the dodo. The Grant Museum is the only remaining university zoology museum in London.

So far progress has been slow due to limited data availability, computational demands, and a lack of methods to integrate built environment data with aggregate geographical analysis. Spatial data and computational improvements are overcoming some of these problems, but there remains a need for techniques to process and aggregate urban form data. Here we develop a Built Environment Model of urban function and dwelling type classifications for Greater London, based on detailed topographic and address-based data (sourced from Ordnance Survey MasterMap).

The multi-scale approach allows the Built Environment Model to be viewed at fine-scales for local planning contexts, and at city-wide scales for aggregate geographical analysis, allowing an improved understanding of urban processes. This flexibility is illustrated in the two examples, that of urban function and residential type analysis, where both local-scale urban clustering and city-wide trends in density and agglomeration are shown. While we demonstrate the multi-scale Built Environment Model to be a viable approach, a number of accuracy issues are identified, including the limitations of 2D data, inaccuracies in commercial function data and problems with temporal attribution. These limitations currently restrict the more advanced applications of the Built Environment Model.

Smith, D.A. and Crooks, A.T. (2010), From Buildings to Cities: Techniques for the Multi-Scale Analysis of Urban Form and Function, Centre for Advanced Spatial Analysis (University College London): Working Paper 155, London, UK.

You can download the paper direct (2.8Mb pdf) or view the complete 156 strong CASA Working Paper Series.