Category Archives: Open Source

Art Open Source Time-lapse Travel Video

Google Street View Hyperlapse – [TIME-LAPSE]

13/04/2013 – 16:24

The folks over at Teehan+Lax Labs unveiled some pretty amazing software that takes images from Google’s Street View and stitches them together to create amazing hyperlapse videos like that below.

These hyperlapse videos combine time-lapse photography with sweeping camera movements to create stunning videography.

Google Street View Hyperlapse from Teehan+Lax Labs on Vimeo.

All the  Street View imagery above was captured using hyperlapse.tllabs.io. Source code at github.com/TeehanLax/Hyperlapse.js.

(via thenextweb)

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Art Open Source Video

The Art of Creative Coding – [VIDEO]

03/01/2013 – 17:57

From PBS:

Programming plays a huge role in the world that surrounds us, and though its uses are often purely functional, there is a growing community of artists who use the language of code as their medium. Their work includes everything from computer generated art to elaborate interactive installations, all with the goal of expanding our sense of what is possible with digital tools.

To simplify the coding process, several platforms and libraries have been assembled to allow coders to cut through the nitty-gritty of programming and focus on the creative aspects of the project. These platforms all share a strong open source philosophy that encourages growth and experimentation, creating a rich community of artists that share their strategies and work with unprecedented openness.

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Infographic Journalism Open Source Visualizations

Data Journalism Handbook – [BOOK]

21/05/2012 – 10:37

The Data Journalism Handbook is a “free, open source reference book for anyone interested in the emerging field of data journalism”.

It was born at a 48 hour workshop at MozFest 2011 in London and subsequently spilled over into an international, collaborative effort involving dozens of data journalism’s leading advocates and best practitioners – including from the Australian Broadcasting Corporation, the BBC, the Chicago Tribune, Deutsche Welle, the Guardian, the Financial Times, the New York Times, ProPublica, the Washington Post, and many others.

The result, so far, is a beta online book, the outline of which is described below. It offers a glimpse into the practice of data journalism, with guidance on how to get started and a  range of case studies, along with sections on getting data, understanding data and delivering data to the public.

Data Journalism Handbook

The handbook covers topics such as

  • open data,
  • data use rights,
  • scraping and crowd-sourcing data,
  • becoming data literate,
  • presenting data to the public
  • community engagement.

It also provides details of tools and mechanisms to understand and deliver data to the public through telling stories. As a means of bolstering the case for data-driven journalism, the book also provides many case studies demonstrating “how data sources have been used to augment and improve coverage of everything from elections to spending, riots to corruption, the performance of schools to the price of water.”

Link: Data Journalism Handbook

(via ReadWriteWeb)

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Infographic Innovation Open Source

The History of Open Source Software – [INFOGRAPHIC]

27/12/2011 – 15:09

The use of Open source software is ubiquitous in today’s software market. Most major companies use some open source software to run their business and this trend is continuing to grow. The Infographic below from Source Ninja provides a useful overview of the history of Open Source software and the outlook for the future.
History of Open Source

(via SourceNinja)

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Open Source Visualizations

American Migration Visualization

19/11/2011 – 10:06

Close to 40 million Americans move from one home to another every year. Jon Bruner’s updated “American Migration” visualization, demonstrates how “Americans are enormously mobile: 37.5 million people moved from one house to another last year, with 4.3 million of them moving between states.”

The interactive map lets you click on a specific county and see the immigration and emigration data for that location. Bruner explains on his blog some of the more technical specifics on the creation and workings of the visualization:

When you visit the page, JavaScript code renders a county map of the United States and prepares it for interaction. When you roll over a county, an event listener fires, displaying a callout with the name of the county and turning the county’s edges red. When you click on a county, your browser downloads a corresponding file that includes a list of other counties to which and from which people migrated, along with relevant stats (income per capita of migrants) and the figures that are shown above the map (year-by-year migration, population). Your browser fills out the stats at the top of the screen, draws a graph (or animates a change from the previous graph, if you’ve already clicked on a county), and loops over the counties in the file, filling them with some shade of red or blue to indicate net inward or outward migration.

My JavaScript code deals with two big datasets: one—the migration data—is downloaded and rendered on the fly every time you click on a county. The other consists of the contours of the map itself: the locations of the boundaries that define the 3,143 counties in the United States.

For details on how he used open source tools to create the visualization, check How To Build an Interactive Map with Open-Source Tools.

(Via O’Reilly Radar)

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