{"id":6744,"date":"2017-06-19T12:00:04","date_gmt":"2017-06-19T16:00:04","guid":{"rendered":"http:\/\/research.prattsils.org\/?p=6744"},"modified":"2017-06-19T12:00:04","modified_gmt":"2017-06-19T16:00:04","slug":"gephi-lab","status":"publish","type":"post","link":"https:\/\/studentwork.prattsi.org\/infovis\/visualization\/gephi-lab\/","title":{"rendered":"Visualizing Good Flight Paths"},"content":{"rendered":"

Introduction <\/strong><\/p>\n

Networks help to explain our complex world by presenting insights into the relationships of elements (people, events, bacteria) revealing extent of connections between them. \u00a0For the network visualization lab I set out to create a graph of an airline transportation system in order to understand its underlying structure. \u00a0\u00a0I am curious to learn what attributes become evident in a graph and how easy is it to recognize new information.<\/span><\/p>\n

Inspiration <\/strong><\/p>\n

Transportation systems are already \u201cmapped\u201d and provide a familiar, real world application on which to embark on network visualization. The following visualizations illustrate varying viewpoints in the mapping of air travel.<\/span><\/p>\n

\"airports-world-network\"<\/a>

Fig 1<\/strong> Air transportation network visualization from Martin Grandjean<\/a><\/p><\/div>\n

Based on <\/span>Openflight.org<\/span><\/a> data, <\/span>Martin Grandjean\u2019s<\/span><\/a> map (Fig 1<\/strong>) focuses on the quantity and connections of world-wide air transport. \u00a0Continents are represented by colors, nodes represent airports and node size the number of routes. \u00a0The map reveals connectedness, ie: Latin American clusters are very connected to the U.S.; India is more connected to the Middle East than to Southeast Asia. \u00a0I appreciate the strong aesthetic quality used to convey voluminous and complex information.<\/span><\/p>\n

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\"Thanksgiving-Flight-Patterns-by-New-York-Times\"<\/a>

Fig 2<\/strong> Thanksgiving Flight Patterns from The New York Times<\/a><\/p><\/div>\n

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The New York Times included a visualization of Thanksgiving flight patterns (Fig 2<\/strong>) in a holiday <\/span>blog post<\/span><\/a>. Its creators mapped the difference in flight patterns for the holiday weekend versus the norm using Google Flights search data. The map clearly conveys discernible insights to a general audience. \u00a0Color provides direction from origin to destination and the thickness of the lines represents the change in volume.<\/span><\/p>\n

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\"US<\/a>

Fig 3<\/strong> US Transportation Analysis by Matine Shaker for HedgeClone<\/a><\/p><\/div>\n