[vimeo 58991559 w=700& h=400]
note: The first 20 seconds of the video doesn’t have much activity since it is really early to cycle.
After an intensive term with R, it was time to move slightly away from the world of geographic data to a more abstract visualizations with processing. The above video is the first attempt in doing so. The work was done as a coursework for Digital Visualization course with Dr. Martin Z Austwick, Center for Advanced Spatial Analysis, UCL.
The base data is a CSV file, extracted from the Barclay’s cycle hire feed provided by Transport for London on 25th December. It has the information on each journey made with the bikes pertaining to the location and time of origin and destination and the total duration of the journey. The whole CSV is loaded in processing and parsed to make a array of instance objects with the information of location, time and weather it is a ‘hire’ or ‘return’. then the array is visualized according to a timer event which progress through every frame.
In the final visualization shown above, the dots represents the relative locations of bike docks at which the bikes are hired or returned and the color of the dots show if it is hire (green) or return (red). Since the animation is cumulative(builds upon as time progresses), brighter spots indicates more activity than the darker ones and the scale of the color from red to green shows if the location is more of a destination or an origin for the trips. The timer shows the number of minutes elapsed from 00.00 Hrs.
Though it is not much informative at present, the visualization shows the potential of Processing as a tool to visualize complex data sets in a more digestible form.