I’ve just come across the Newcastle Urban Observatory. It is a data portal that collects feeds from various sensors across the city, including things like traffic, weather and noise levels, temperature, and air quality (NO, CO, and NO2). You can also interrogate individual sensors and look at how the different levels have been changing over […]
I have recently presented some work at the GISRUK 2014 conference in Glasgow. The work is a collaboration with Martin Andresen (SFU, Canada) and looks at the differences in crime hotspot locations using two population-at-risk measures: the residential population (traditional) and the ‘ambient’ population (estimated using social media). The slides are available here and the […]
Cities are complex social systems. To truly understand a city we need to understand the behaviour of the people who inhabit and use it on a daily basis. For example, London’s Trafalgar Square is not simply a space to house Nelson’s Column. To truly understand the place, we need to know who visits the area, […]
Your browser does not support iframes. Try Firefox. I recently presented some ongoing work on trying to identify anchor points (areas that are regularly visited by people such as workplace, home, the pub, etc.) at the IGU 2013 conference in Leeds. The most interesting part of the work, so far, is using a GIS algorithm […]
I recently attended two excellent conferences: The European Conference on Complex Systems (ECCS) at the Université Libre de Bruxelles (3rd – 7th September). My talk was in the COSMIC satellite meeting which was full of interesting research (more info here). The 8th Conference of the European Social Simulation Association (ESSA) at the University of Salzburg, […]
When people use Twitter on their mobile phones, it is possible for them to attach their GPS coordinates to their tweets. This data is publicly available and we have been collecting it, with the aim of using it to build up a simulation of urban dynamics in Leeds (capturing the ‘ebb and flow’ of the […]
As part of their Reading the Riots project, The Guardian and London School of Economics have produced some really interesting analysis of how rumours spread through Twitter during the English riots in 2011. There’s a dynamic visualisation that shows rumours blossoming and fading as more people oppose them.