London Twitter Data as a Landscape

Readers will know that as part of the MRes in Advanced Spatial Analysis and Visualisation, here in CASA, we are exploring new methods and techniques for visualising data. As part of the course we are looking at collecting data from the Twitter API and using the resulting .csv file as an input into a variety of software, including Processing and ArcMap. Data so far has been focused on displaying the output from ArcGIS as a slightly more traditional map, albeit in 3D via Lumion:

Taking a step back it is possible to take a more abstract view of the data visualisation and use the Twitter data collected to create a digital elevation model for direct landscape visualisations.

As we have mentioned in previous posts there are of course many arguments on the pro’s and con’s of visualising data in such a way, indeed the visualisation is developed to open up the debate as part of the MRes course allowing various visualisation techniques to be compared from the same data set. 

Sometimes however an abstract route to visualising data can quite liberating in a world of visualisation dominated by more traditional and academic output, the screenshot above illustrates Kingston Peak with Soho Mountain dominating the background. The movie below details the landscape as a fly-through:

In future posts we will explore issues of scale as we take the landscape and move it into an online exhibition space.

Update  – see Data Space: Agent Based Models, SketchUp, Visualisation, ArcGIS and Lumion for the exhibition space developments…