David Bowie, ★
Claire Keane

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"I'm Dorothy Gale from Kansas"
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occasionally subtle
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h

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@lowderchris
David Bowie, ★

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A heart shaped coronal hole valentine, observed at 193Å with the AIA instrument on board SDO. Conveniently captured last year on Valentine's Day.
David McCandless turns complex data sets (like worldwide military spending, media buzz, Facebook status updates) into beautiful, simple diagrams that tease out unseen patterns and connections. Good design, he suggests, is the best way to navigate information glut -- and it may just change the way we see the world.
Long exposure astrophotography back in Georgia.
It was actually absolutely simple with a GoPro! The tripod attachment let me set it pointing up, and an iOS app let me trigger the exposure remotely (without any vibration). The wide-angle lens is an added bonus!
The Sun in different wavelengths. Surely made from the images taken by Extreme Ultraviolet Imaging Telescope on board SOHO.
(Via GIPHY)

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Wanderers
Watch this artist's visualization of humanity's expansion into the solar system, complete with Carl Sagan voiceover (AND SPACE ELEVATORS!) - https://vimeo.com/108650530
I'll just leave this here. I may have had a glass of wine to inspire this.
My reaction when trying to build a LaTeX conference poster from a terrible template.
Dunes... on a comet? Fantastic image via Rosetta!
Beautiful image of the active region currently de-stressing. The complexity is astounding.

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The great thing about science... I have no problem with having my preconceived notions shattered and replaced.
There's an old Turkish proverb... "Coffee should be black as Hell, strong as Death..."
This is his serious contemplation of life and the universe face.
My puppy, the philosopher.
Waffle House by Latitude
After the seriousness of the Nobody Lives Here map, we’re back to the silliness of Waffle House. I promised more visualizations of WaHo geography, and here I deliver.
This graphic shows a mash-up of two visualization types: a map and a bar chart. The concept is similar to Bill Rankin’s population histograms, which tabulate population counts by latitude or longitude. Here, Waffle House restaurant locations are counted by their latitude, grouped into segments of 0.25 degrees.
WaHo’s status as primarily a southern institution is well-established. And the results here match that expectation, with only a handful of restaurants to be found north of the Mason-Dixon line. But these results also emphasize how Waffle House distribution is more a phenomenon of the Deep South. Of the 1606 locations in my (2012) data set, 66% of them are located south of the Georgia-Tennessee border (35° 59’ N).
Looking at the longest bars, we see the Atlanta metro area dominating again, just as it did on the 3d Density Map. The first, third and fourth-longest bars pass straight through the ATL and its environs (Athens helps a bit too). There’s another, smaller concentration near 33° N that we can attribute to locations in Dallas-Fort Worth. Nashville is also responsible for a relatively long bar.
The takeaway from this graphic for me though, is the bar that passes along the Gulf Coast (as well as the two smaller bars on either side). It’s the second-longest bar on the page, yet no single city can account for it. Instead, it’s mostly a string of locations tied together by one common element: Interstate 10.
The Gulf Coast between Jacksonville and Houston has 78 Waffle House locations within one mile of I-10 (and an additional 9 along the I-12 bypass of New Orleans). Plus, many of the towns along that route have restaurants near the coast. US 90 between Mobile and LaFayette adds an additional 19 locations.
Given the linear spread of Waffle House locations along the Gulf Coast, I’m tempted to coin the term “Waffle Belt” to describe that region. Actually, that doesn’t sound too bad.
I hereby christen the Gulf Coast from Houston to Jacksonville as The Waffle Belt. May its syrup always be heated and its batter forever fluffy.
::
Map Notes
I chose the Miller Cylindrical projection for this map because I needed the parallels to be, well, parallel. Can’t have curved latitudes with straight bars. I also wanted to minimize the area distortion in the northern states, so that ruled Mercator right out.
As with the 3D map, the Waffle House location data is my own creation made by geocoding addresses with Google and MapQuest.
Made with QGIS, Photoshop, Apple Numbers and my own Python script
Highway data from National Highway Planning Network, U.S. Dept. of Transportation
Annotated version with call-outs
I knew there was something in particular I missed about Atlanta.
Carl telling us how (not) to science.
"conclusion: dinosaurs" is still my favorite rebuttal to just about anything tbh.
Second perhaps only to “Therefore: aliens”
seems legit
We all miss Carl Sagan.

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After endless plotting of arrays of data, dealing with color tables and scaling, aligning axes... it feels good to make a simple line plot.
Blood-maths
I had to reschedule a blood donation appointment the other day, and in doing so had to reset my Red Cross donation account. I must have created it years ago, and must have forgotten the password shortly thereafter. The account logged my past blood donations with the Red Cross, and that made me curious about volumes.
There's a record of 12 blood donations, one of those being a double unit donation. A standard blood donation is 470 mL, just around a pint. Doing some quick maths, that's 6110 mL, or roughly a gallon and a half.
I've gotten fairly serious about donating as often as I can for the past year, which is once every 56 days. If I kept up this trend until I was 76 years old, that would be another 313 donations. Of course this is assuming that we won't develop a method of artificially growing blood in large quantities within my lifetime. With each donation being roughly 470 mL, and factoring in my previous donations, that sums up to a grand total of 153,220 mL or about 40 gallons. That's roughly the volume of a bathtub.
That's a lot of blood. But people need it. Donate blood.