Wednesday 22nd May, 2013
11:00am to 11:30am
The recent trend toward “open data” creates new opportunities for geographic data analysis and presentation, yet some of the most interesting data is still locked away inside imperfect formats and APIs lacking geometry. Open source scripting, storage, and front-end tools allow us to harness and explore massive amounts of traditionally inaccessible data using minimal bandwidth. By adding a layer of abstraction between the geometry of the enumeration unit and the corresponding data, developers can bind spatial strucutres and dynamic data on the client-side to drive lightweight web mapping applications.
This presentation puroposes a workflow that allows developers to scrape, manipulate, and present geographic data using open source tools such as Python, TopoJSON, and D3. Examples will focus on using these techniques in the context of freight infrastructure research, and will include addressing the truck driver shortage, finding ports of entry, and using the US Energy Information Association’s (EIA) API to build a database.
Mapper | developer. Lover of all things open source and geo. bio from Twitter
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