Posts Tagged ‘mapping

First Crowdsourced Project.

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crowdsourced

The Image above is a static screenshot of dynamic, interactive and crowdsourced map I created to map people from School of Planning and Architecture, Delhi and see how they are distributed all over the world. I initially circulated within my batch and later in a broader group and the response has been really good so far with the counter crossing 100 as of yesterday.Though it is not some thing really advanced or jaw dropping, I am really excited to see how easy it is to collect and visualize data (especially geographic) if one knows the right tools. The tools used are MySQL server, Apache (PHP) server, JavaScript (with jQuery), Google Maps API v3, Chrome and Sublimetext.

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.

Accidents in United Kingdom over 2010 – Animation

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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.

Written by sbmkvp

March 26, 2013 at 5:51 pm

Accidents in UK – Initial Visualization

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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 [1] [2] [3] [4] [5] , 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.

resized

The source for the data is from UK Data service at here. [note: Click the image for a larger version of the map]

Written by sbmkvp

March 25, 2013 at 6:23 pm