With the public sector facing unprecedented cutbacks, it’s increasingly important for local authorities to understand how satisfied their residents are with local services and engage them in the assessment of whether limited budgets are being spent in the right places. City University London’s giCentre has used the emerging field of data visualization to help Leicestershire [...]

We worked with climate scientists at NCAS-Climate (University of Reading, UK) who produce large datasets of simulated storm tracks from General Circulation Models that span many decade, and need to analyse them. We collaboratively designed and implemented interactive visualisation techniques that have opened up their database, enabling storm tracks to be browsed in their spatial and temporal context, and for specific examples to be captured as Quicktime video clips. The purpose of generating these storm tracks was to better understand the spatial and temporal distribution of storms, particularly for extreme events.