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London Diary – Week Three

An update on the collected data from the Urban Diary project. It is already three weeks now and it is still going. The collected data is good, the main problems lie in the handling and processing. I tend to focus on the 24h time frame visualization, where the data is replayed all in one day, rather than visualizing it day by day over three week. It is much denser in this way and patterns show up more clear. On the other hand the danger is that one off activities have a very strong influence on the visualization. Each participant is represented by an individual colour.
For this weeks visualization I again used the Google Earth but without the satellite imagery. So it is visually simpler and there is more control regarding the colours. I am also using the 3D Virtual London model developed here at CASA to provide some context. Having this background moving into analyzing the connections between the activity pattern and the morphology is one step closer.
The 24h cycle I have also changed this week. I have noticed that altogether there are activities roughly between 06h00 and 02h00 in the morning. The default duration on Google Earth is obviously 00h00 to 24h00. The recorded animation now starts at 04h00 in the morning and continuous until 03h00 the next morning.

UDrecord_all_090227 from urbanTick on Vimeo.

A zoomed in version of the animation visualizes the area around UCL. It is again replayed within a 24h time frame and representing the different participants with different colours. The normal workday pattern starts showing up again, 09h00 to 17h00, outside this frame there is very little activity.

UDrecord_UCL_090227 from urbanTick on Vimeo.

The third zoom is looking at a neighborhood area where participants live. In this case the colours used in this visualization are not based on individuals but they represent weekdays and weekend days. The darker purple is the weekdays, where as the lighter pink is the weekend activities. The emerging pattern tends to be focused on the main transport axis for bus travel and tube stations as locations. On the other hand the weekend pattern shows activities within the neighborhood and local streets rather than the big streets. So weekday activity tends to be towards the south in two time frames, one in the morning and one in the evening. The weekend activity, in this case, then tends to be towards the north and through out the day.