Re-imagining London's Urban Landscape in Real Time

Re-imagining London’s in Real Time using Twitter

What if ’s grew according to the amount of data they generate? The below is the first step in an approach to visualising an urban landscape using the objects that already exist in it; instead of abstract swirling points, bars, and artefacts hovering in the sky, the buildings themselves become the medium by which the data generated in and around them are made visible.

The taller a is, the more tweets have been sent from within and immediately adjacent to it. Buildings grow upwards in real time, and gradually darken as more data accumulate.

We are not limited to using tweets to generate these landscapes; any source of real-time data can be used to affect the shape, height, and of the objects you see.

We gathered geotagged tweets for 15 hours and 40 minutes for this first video, beginning at 21:45 on the 1st of July, 2013. We gathered a total of 3568 data points, which were visualised using Esri‘s CityEngine and .

Via Github

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