State Internet Statistics versus Twitter Geocodes
Source code: tutorial WorldMap
Built with Processing
About this demo: This Demo comes from the original desire of using a Google visualization like the state-to-state maps, but also plug in geo-coded data on top. Built in Processing, the simple interface allows for multiple axes of actual data to be seen. In the example above, we access Dataset 10032 with a SPARQL query that returns the percentage of internet access by state. Similar to Google visualization, we then color the states as per this data. Additionally, to get a sense of actual contemporary distribution of internet users, we accessed the Twitter API both via TwitterGrab and a Ruby Script to collect two different sets of geo-coded tweets; one set of Tweets collected 1/22/2010 => 1/29/2010 containing the word "Haiti" and another from a full day's stream collected 2/12/2010. These data points are then placed onto the map to provide a further dimension to the internet access percentages beyond a simple state-wide figure.
Data Sources: SPARQL Query: internet.sparql | Twitter Data: "Haiti" data set, Streaming data set
How to use this demo: Click
Download: Source Code | Application (Windows, Linux, Mac OS X)