The visualisation is similar to what I did for the IRIS competition earlier but the difference is in the backend. Instead of reading a preset datafile and displaying it, this map here has a MySQL database in backend and queries it through PHP and visualises the result. It also has PHP based POST mechanism to send data to the database from the user. The best part is that none of the data in the image above is collected or entered by me (except for my two data points). It is rather generated by the people who individually entered their own locations.
Continuing from the last post, this is a visualization of essentially the same data but with a temporal element as well. The video below shows the occurrence of road accidents in UK during 2010 as it happened in time. Each frame in the video adds an hour of accidents to the canvas as bright blue dots and a second in the video is equivalent to 2 days in real time. The light blue shadow is left behind by previously occurred accidents building a cumulative map. As before, the animation is built with processing + blender and the data is cleaned with R and excel. To be honest there nothing much to observe and infer from the visualization at this level except for the small breathing effect which may be due to the peak hours and nights in traffic and how the accident locations correlates with heavily populated areas with dense roads. The video is embedded below and I would recommend increasing the HD setting to 720p for a good quality, comprehensible video.
The source for the data is from UK Data service at here.
As a part of the data collection for the dissertation, I just got my hands on a huge set of records detailing every accident happened in 2010 within UK and as the first step towards interpreting the data I tried to map of all the accidents recorded as points in their relative locations. After 2-3 hours of struggle with R [for data cleaning] and processing [for visualization , the final result is as below. The map below shows every accident recorded in UK in 2010 as a cyan dot mapped in the canvas relative to each other (approx. not to scale). Though there is already lot of work done in visualizing this data set      , I think this is a solid first step for me explore and build confidence in this area. This being a start I think i’ll be posting a lot of similar stuff here as the dissertation progresses.
The source for the data is from UK Data service at here. [note: Click the image for a larger version of the map]