Birding and data visualization

Jer Thorp has combined birding and data visualization into a unique course called Binoculars to Binomials:

I dreamt up Binoculars to Binomials as a hybrid site of learning. It’s for coders who are interested in cultivating an observational practice, and for birders who want to dive into the rich pool of data that comes out of their hobby.

More broadly, it’s for anyone who’s interested in the overlap between nature, data and creativity.

Sounds good to me.

One of the best ways to learn how to visualize data is to apply it to a specific field. You figure out the mechanics and the context behind the data, which makes visualization meaningful and useful. In this case, you get your hands in all parts of the process.

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Shifting bird populations

Using data from the crowdsourced database eBird, Harry Stevens mapped the shifts in bird populations for the Washington Post. Increased building and climate change have led to population declines for many species over the past decade, but some species, such as the blue jay, have seen growth.

Be sure to check out the interactive at the end that lets you search the full species list.

Diligent birders log data on eBird, which they can use to keep track of their own observations. Collectively, researchers can then generate reliable models with the data. The scale of this project continues to amaze.

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Crows might understand probabilities

Researchers at the University of Tübingen are studying crows’ abilities to understand statistical inference. For Ars Technica, Kenna Hughes-Castleberry reports:

To do this, Johnston and her team began by training two crows to peck at various images on touchscreens to earn food treats. From this simple routine of peck-then-treat, the researchers significantly raised the stakes. “We introduce the concept of probabilities, such as that not every peck to an image will result in a reward,” Johnston elaborated. “This is where the crows learn the unique pairings between the image on the screen and the likelihood of obtaining a reward.” The crows quickly learned to associate each of the images with a different reward probability.

In the experiment, the two crows had to choose between two of these images, each corresponding to a different reward probability. “Crows were tasked with learning rather abstract quantities (i.e., not whole numbers), associating them with abstract symbols, and then applying that combination of information in a reward maximizing way,” Johnston said. Over 10 days of training and 5,000 trials, the researchers found that the two crows continued to pick the higher probability of reward, showing their ability to use statistical inference.

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Database of feathers

There’s a database of feathers called Featherbase, because of course there is:

Featherbase is a working group of German feather scientists and other collectors worldwide who came together with their personal collections and created the biggest and most comprehensive online feather library in the world. Using our website, it is possible to identify feathers from hundreds of different species, compare similarities between them, work out gender or age-specific characteristics and look at the statistics of countless feather measurements.

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Bird power rankings

Using data from Project FeederWatch, which is a community tracking project to count birds around feeders, Miller et al. estimated the pecking order among 200 species. This was in 2017. For The Washington Post, Andrew Van Dam and Alyssa Fowers worked with the researchers for an updated ranking using a more comprehensive dataset. The result is bird power rankings 2021 edition.

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Bird migration forecast maps

BirdCast, from Colorado State University and the Cornell Lab of Ornithology, shows current forecasts for where birds are headed over the United States:

Bird migration forecasts show predicted nocturnal migration 3 hours after local sunset and are updated every 6 hours. These forecasts come from models trained on the last 23 years of bird movements in the atmosphere as detected by the US NEXRAD weather surveillance radar network. In these models we use the Global Forecasting System (GFS) to predict suitable conditions for migration occurring three hours after local sunset.

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Bird flight patterns captured through long-exposure photography

For several years, Xavi Bou has been using long-exposure photography to capture stills of bird flight patterns. The project, Ornitographies, produced gloriously abstract images. There’s also a video (above) piece under the same premise.

Jessica McKenzie, reporting for Audubon:

More recently, Bou has expanded the project to video, including one called Murmurations that shows a flock of starlings evading a hawk. “What happens is, if in this moment a hawk appears to attack them, it’s when they do this dance,” he says. “The hawk is like carving this ephemeral sculpture that’s in the air.” As with the still images, Bou knit multiple series of photographs together to create an animation. He estimates that every day of filming requires two weeks of post-production work; for Murmurations, he also enlisted the help of a film editor. The final product, which was filmed in southern Catalonia, was then set to ethereal music.

The video deserves the full-screen treatment.

See also the swallows of essex by Dennis Hlynsky.

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Traveling birds on a thousand-mile journey

Birds migrate to areas more hospitable, but where do they go? It depends on the bird. It depends on the time of year. It depends on other various factors. Drawing from several data sources, National Geographic maps how birds migrate thousands of miles. View it on your desktop of maximum animated pleasure.

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Visual collection of bird sounds

Different species of birds make different sounds. However, the sounds are so quick and compressed that it can be tough to pick out what is what. So Kyle McDonald, Manny Tan, and Yotam Mann created a “fingerprint” for each bird song and used machine learning to classify. Through the visual browser, you can play sounds and search for bird types. Similar sounds are closer to each other.

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