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Posts Tagged ‘Interactive’


The Statistics behind the US Civil War in Interactive Infographics

civil_war_infographics.jpg
The Civil War [elibrosen.com] is the final student project of Eli Rosen for Golan Levin’s Interactive Art and Computational Design course of 2012.

The project provides a data-driven interface to explore the stories and facts behind the U.S. Civil War. Accordingly, people are able to navigate its history chronologically (via an interactive timeline) or geographically (via an interactive map).

The timeline acts as a bidirectional bar graph that pairs the casualties for the Union and the Confederacy for each battle, providing an intuitive impression for the scale of the battle and for how evenly casualties were distributed. A dual slider acts as a time range selector.

The map plots all battles geographically, in which color and size corresponds to who won and how many casualties occurred. Hovering over the battles provides summary information, while clicking on the battle opens a new window with a brief description of what happened.

The final information panel provides summary statistics about the selected range of battles, such as how many battles are fought, the total casualties on each side, and the victories on each side.

More background information about this project is available here.

Via Golan Levin’s Interactive Art and Computational Design Course.



Taxonomy for interactive visual analysis

Interactive visualization continues to grow more useful and prominent in every day analysis. Jeffrey Heer and Ben Shneiderman offer a taxonomy for the budding field.

Visualization provides a powerful means of making sense of data. By mapping data attributes to visual properties such as position, size, shape, and color, visualization designers leverage perceptual skills to help users discern and interpret patterns within data. A single image, however, typically provides answers to, at best, a handful of questions. Instead, visual analysis typically progresses in an iterative process of view creation, exploration, and refinement. Meaningful analysis consists of repeated explorations as users develop insights about significant relationships, domain-specific contextual influences, and causal patterns. Confusing widgets, complex dialog boxes, hidden operations, incomprehensible displays, or slow response times can limit the range and depth of topics considered and may curtail thorough deliberation and introduce errors. To be most effective, visual analytics tools must support the fluent and flexible use of visualizations at rates resonant with the pace of human thought.

[ACM Queue via @krees]

View the original article here



Kartograph aims to make interactive vector maps easier

La Bella Italia

Gregor Aisch wanted a better way to make maps online that allowed something other than the Mercator projection, so he developed his own. The result is Kartograph, a lightweight framework “for building interactive map applications without Google Maps or any other mapping service. It was created with the needs of designers and data journalists in mind.” No more tiles.

The framework is still in its infancy, with not much documentation, but the map-making process seems to be straightforward. It’s basically a two-step process. First you generate an SVG map with Kartograph’s Python component, and then you load the SVG with the JavaScript component, which is built on top of Raphael.

Check out the showcase for a sense of what it can do. You’ve got your choropleth, chart symbols, and 3-dimensional projections. The star however is clearly the map of Italy, complete with a cute little ferry that follows a geo path.

[Kartograph]

View the original article here




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