In a tongue-in-cheek tribute to the Dancing Plague of 1518, Niege Borges illustrates dances from a number of shows and movies in his project of the same name. All of them available in print, including the Elaine dance from Seinfeld, Little Miss Sunshine, and Singin' in the Rain. [Niege Borges]

While we're on the topic of things moving on a map of changing camera angles, class project Taxi, by Tom McKeogh, Eliza Montgomery and Juan Saldarriaga, shows the movements of said vehicles in Manhattan, over 24 hours.

Geographic location data for the origin and destination of each ride is combined with waypoint data collected from the Google Maps API in order to generate a geographically accurate representation of the trip. We used data from taxi rides originating or ending in the neighborhoods of Lincoln center or Bryant Park. The visualization recreates a 'breathing' map of Manhattan based on the migration of vehicles across the city over a period of 24 hours, displaying periods of intensity, density and decreased activity.

I hope they do another iteration of this project. I bet they could do a lot more on the temporal side of things.

[Digital Urban via @kennethfield]

Even Westvang uses tax return data to visualize migration patterns of 300,000 Norwegians.

When running at full speed the visualization is clearly lacking in terms of salient features, yet I find it interesting. Then again, I like looking at Pachinko machines and waterfalls — processes comfortably stuck between the random and the ordered. When slowing the animation down and filtering for certain demographies it becomes more useful. At its best laymen, like myself, can visually perceive facets of the natioal Norwegian migratory process that before were only available through the statistical calculations of researchers in demography.

As you might expect, each particle represents a person moving from one ZIP code to another. The more people moving from point A to point B, the faster the particles move.

The most interesting bit, that I wish Westvan did more of, is closer to the end, when he shows a couple of demographic breakdowns. The older demographic tends to move shorter distances, and those with higher salaries shoot out from bigger cities. Hey Jon Bruner, something to keep in mind for your next iteration. Although I'm pretty sure the US doesn't make income data for every citizen publicly available like Norway does. What's that about?

[Even Westvan via @mariuswatz]

In a blend of data and storytelling, Jeremy Mendes and Leanne Allison dig into surveillance logs generated by a monitored grizzly bear between 2001 and 2009. The final work is a moving interactive documentary, Bear 71.

She lived her life under near-constant surveillance and was continually stressed by interactions with the human world. She was tracked and logged as data, reflecting the way we have come to see the world around us through Tron and Matrix-like filters, qualifying and quantifying everything, rather than experiencing and interacting.

Leanne Allison sifted through thousands of photos from motion-triggered trail cameras for this project. The grainy images gathered over the past 10 years by various scientists reveal the hidden life of the forest, played out by the animals and humans — including Bear 71 — captured covertly on film.

It begins with the capture of a grizzly, its tagging, and then release, as a first-person narrative tells a story through the eyes of the bear. You, the observer, are allowed to follow the bear and explore its environment on an abstract map, and somewhere along the way digital and the physical world melt together.

[Bear 71 via @wiederkehr]

Like something from of a video game, this graphic from The New York Times shows the most mentioned NFL players and coaches this season. Players are scaled approximately by the number of mentions between August 1, 2011 to February 1, 2012 on ESPN's SportCenter and Sunday NFL Countdown. The giant on the left is Tim Tebow, with 1,450 mentions. Bar graphs on the bottom highlight mentions over time for players of interest.

[New York Times]

Presidential candidates have raised $186 million up to now, according to the Federal Election Commission. The New York Times lets you compare the amounts raised by each candidate, over time and space. Simply select a candidate on the left, and another on the right to see how they match up. Fundraising by candidates from previous elections, at the same time of year, are also included for context.

While not the focus of the interactive, the distributions for donation size at the bottom seem to be especially telling.

[New York Times via infosthetics]

Birds move. eBird shows us how.

Understanding patterns of bird occurrence at continental scales has long been one of eBird's fundamental challenges. Only now, with 42 million records and ever more thorough coverage nationwide, is this becoming possible. Ongoing research at the Cornell Lab is currently producing cutting-edge graphics that we are pleased to share here. Day-by-day predictions of species occurrence allows these models to shine a spotlight on the most awe-inspiring of natural spectacles: the ebb and flow of bird migration.

Cutting edge? No. They are thorough though, with maps (in the form of animated gifs) for a large number of species.

[eBird | Thanks, Ed]

Diego Valle-Jones maps homicides and trafficking routes in Mexico.

To unclutter the map and following the lead of the paper Trafficking Networks and the Mexican Drug War by Melissa Dell, I decided to only show the optimal highways (according to my own data and Google Directions) to reach the US border ports from the municipalities with the highest drug plant eradication between 1994 and 2003 and the highest 2d density estimate of drug labs based on newspaper reports of seizures. The map is a work in progress and is still missing the cocaine routes, but hopefully I'll be able to add them shortly.

There's lots to look at and interact with here. To start, there are bubbles that cluster homicides by region and major highway routes in black.

Click on any bubble and you get a time series for the corresponding area, going back to 2004. Or if you like, draw your own polygon to see the time series for specific regions. Pointers on the time series highlight significant events. There's also a slider that lets you see numbers on the map for different years. A layer underneath the bubbles lets you see high density areas for marijuana, opium, and drug labs.

Take a look at the full map for yourself. This is nice work by Valle-Jones.

[Diego Valle-Jones | Thanks, Diego]

Yahoo is not what it used to be, but many parts of it are still alive and well. In a follow-up to their email interactive, Yahoo, along with visualization firm Periscopic, explores the popularity of articles that appear on the Yahoo homepage. It's a visualization that shows activity within the Content Optimization and Relevance Engine (C.O.R.E. for short).

The focus is on the center, which has the same layout as that of the stories on the Yahoo homepage. Story on top, and links to more stories on the bottom. Except in the interactive, you can see demographics of those who viewed the story. The slider on the bottom lets you go back up to 24 hours to see what was hot during each hour.

It gets more fun when you use the buttons on the left and right to view popular stories among age and gender cohorts and button on the right that let you see stories by categories. The rotating particles, each representing a clickable story, in the background provide a final flourish.

Oh, and extra nerd points for HTML5.

[Yahoo]

Jonathan Corum for The New York Times examines word usage by President Barack Obama in his State of the Union addresses and the words used by Republican candidates in their debates. Many of you will be happy to know that no word clouds were harmed in the making of this graphic.

[New York Times]