Coming almost 450 years after the world’s first Atlas, this Atlas for the End of the World audits the status of land use and urbanization in the most critically endangered bioregions on Earth. It does so, firstly, by measuring the quantity of protected area across the world’s 36 biodiversity hotspots in comparison to United Nation’s 2020 targets; and secondly, by identifying where future urban growth in these territories is on a collision course with endangered species.
Standing at the edge of the moon’s shadow, or umbra, the difference between seeing a total eclipse and a partial eclipse comes down to elevation — mountains and valleys both on Earth and on the moon — which affect where the shadow lands. In this visualization, data from NASA’s Lunar Reconnaissance Orbiter account for the moon’s terrain that creates a jagged edge on its shadow. This data is then combined with elevation data on Earth as well as information on the sun angle to create the most accurate map of the eclipse path to date.
You can download maps of your area from NASA’s official eclipse website…I will be studying the Nebraska map closely.
After much research, Sasha Trubetskoy has completed a subway-style map of the road system of the Roman Empire. From about 300 BC, the Romans built or improved over 250,000 miles of roads (50,000 miles were stone paved) that extended into the farthest reaches of the Empire: from Spain to modern-day Iraq to Britain to northern Africa.
Creating this required far more research than I had expected — there is not a single consistent source that was particularly good for this. Huge shoutout to: Stanford’s ORBIS model, The Pelagios Project, and the Antonine Itinerary (found a full PDF online but lost the url).
The lines are a combination of actual, named roads (like the Via Appia or Via Militaris) as well as roads that do not have a known historic name (in which case I creatively invented some names). Skip to the “Creative liberties taken” section for specifics.
The Paleobiology Database Navigator is a world map that shows where hundreds of thousands of fossils have been found. The data is maintained by an international group of paleontologists and you can filter the map by type of fossil and when it was found. There’s even a toggle to flip back and forth between the current placement of the continents and much earlier Pangea-like configurations. (via @srikardr)
Today they are releasing a new global composite map of night lights as observed in 2016, as well as a revised version of the 2012 map. The NASA group has examined the different ways that light is radiated, scattered and reflected by land, atmospheric and ocean surfaces. The principal challenge in nighttime satellite imaging is accounting for the phases of the moon, which constantly varies the amount of light shining on Earth, though in predictable ways. Likewise, seasonal vegetation, clouds, aerosols, snow and ice cover, and even faint atmospheric emissions (such as airglow and auroras) change the way light is observed in different parts of the world. The new maps were produced with data from all months of each year. The team wrote code that picked the clearest night views each month, ultimately combining moonlight-free and moonlight-corrected data.
Scientists are planning on providing “daily, high-definition views of Earth at night” starting later this year. It’s worth clicking through to play with the interactive India map…it’s astounding to see how much light the country has added in the past 5 years. And see if you can spot North Korea at night:
Zak Ziebell asked 30 people to sketch a map of the world and then averaged the results into the map above. I especially love the bottom one with the satellite terrain.
Tasked with creating “a piece of art that would reveal something unseen” as part of a pre-college fine arts program, Ziebell approached 29 strangers on the University of Michigan’s campus, handed them a pen and half a sheet of paper, and asked them, on the spot, to draw a map of the world. Ziebell, who recently posted his findings to Reddit, then completed the task himself and digitally merged the 30 maps into one image, overlaying the composite drawing with satellite data.
From Aron Strandberg,1 this is a timeline visualization of the age of the world’s population from 1960-2060. The world’s human population has increased rapidly in the last couple centuries, most recently doubling since 1970:
A tremendous change occurred with the industrial revolution: whereas it had taken all of human history until around 1800 for world population to reach one billion, the second billion was achieved in only 130 years (1930), the third billion in less than 30 years (1959), the fourth billion in 15 years (1974), and the fifth billion in only 13 years (1987).
But watching that video, you’ll realize that the world’s population will not reach 20 or 30 billion in 2050 — human civilization is getting old.
This interactive map shows where the 79 million people who have immigrated to the US from 1820 to 2013 came from. In the past, incoming residents from Canada, Italy, Germany, and Ireland were prevalent, but more recently Mexico, China, and the Philippines have led the way.
What I think is particularly interesting about immigration to the U.S. is that each “wave” coming in from a particular country has a story behind it — usually escaping persecution (e.g. Jews escaping Russia after the May Laws were enacted, the Cuban Revolution) or major economic troubles (e.g. the Irish Potato Famine, the collapse of southern Italy after the Italian Unification).
There are plenty of dark spots on United States’ history, but the role it has played as a sanctuary for troubled people across the world is a history I feel very proud to be a part of.
The graph of incoming immigrants as a percentage of the total US population is especially instructive. Though higher than it was in the 60s and 70s, relative immigration rates are still far below what the country saw in the 1920s and before.
Last year, Eleanor Lutz made a medieval-style map of Mars. As a follow-up, she’s made a topographical map of Venus. The features on Venus are named for female mythological figures & notable women and Lutz provides a small biography for each one on the map. Among those featured on the map are:
Anne Frank
Selu (Cherokee Corn Goddess)
Kali (Hindu Goddess, Mother of Death)
Virginia Woolf
Sedna (Eskimo Whose Fingers Became Seals and Whales)
Ubastet (Egyptian Cat Goddess)
Beatrix Potter
Edith Piaf
A horde of dead men with live identities haunt New York City and almost every city in the Western world. Their names are on the streets, buildings, parks, squares, colleges, businesses, and banks, and their figures are on the monuments. For example, at Fifty-ninth and Grand Army Plaza, right by the Pulitzer Fountain (for the newspaper magnate Joseph Pulitzer), is a pair of golden figures: General William Tecumseh Sherman on horseback and a woman leading him, who appears to be Victory and also a nameless no one in par-ticular. She is someone else’s victory.
The biggest statue in the city is a woman, who welcomes everyone and is no one: the Statue of Liberty, with that poem by Emma Lazarus at her feet, the one that few remember calls her “Mother of Exiles.” Statues of women are not uncommon, but they’re allegories and nobodies, mothers and muses and props but not Presidents.
For her book Nonstop Metropolis: A New York City Atlas, Solnit and her co-author Joshua Jelly-Schapiro commissioned Molly Roy to make a subway map of NYC that uses only the names of the city’s prominent women for the station names.
It’s a map that reflects the remarkable history of charismatic women who have shaped New York City from the beginning, such as the seventeenth-century Quaker preacher Hannah Feake Bowne, who is routinely written out of history — even the home in Flushing where she held meetings is often called the John Bowne house. Three of the four female Supreme Court justices have come from the city, and quite a bit of the history of American feminism has unfolded here, from Victoria Woodhull to Shirley Chisholm to the Guerrilla Girls.
In March 1933, a unified Germany held its last relatively free election before WWII. Hitler had already become Chancellor but he held one last election, seeking a mandate under which to rule. This map shows which areas of Germany supported the Nazi Party most strongly.
However, it’s also important to note that while the Nazis won the most seats in 1933, they did not win a majority of them or the popular vote.
Support varied widely across the country. It was highest in the former Prussian territories in the north-east of Germany (with the exception of Berlin) and much weaker in the west and south of the country, which had, up until 1871, been independent German states.
Across Germany as a whole, the Nazis won 43.91% of the popular vote and got 44.51% of the seats. This made them by far the largest party in the German Reichstag, but still without a clear majority mandate.
I know history doesn’t repeat itself, but this sure is rhyming like Kanye.
Martin O’Leary is a research scientist who studies glaciers, but in his spare time, he built Uncharted Atlas, a program that auto-generates maps of fantasy lands (like from Game of Thrones or LOTR) and posts them to a Twitter account. The explanation of how the terrain is generated is quite interesting and includes embedded map generators that you can play around with (i.e. prepare to lose about 20 minutes to this).
There are loads of articles on the internet which describe terrain generation, and they almost all use some variation on a fractal noise approach, either directly (by adding layers of noise functions), or indirectly (e.g. through midpoint displacement). These methods produce lots of fine detail, but the large-scale structure always looks a bit off. Features are attached in random ways, with no thought to the processes which form landscapes. I wanted to try something a little bit different.
There are a few different stages to the generator. First we build up a height-map of the terrain, and do things like routing water flow over the surface. Then we can render the ‘physical’ portion of the map. Finally we can place cities and ‘regions’ on the map, and place their labels.
I wanted to produce something which was a step above the usual alphabetic soup of generated placenames, and which was capable of producing recognisably distinct languages. The initial idea was that different regions of each map would have different languages, but I abandoned this because it was too hard to make it clear that this was what was going on, while still having the languages themselves be interesting.
The problem is to generate something like what the constructed languages (conlang) community call a ‘naming language’. This is a light sketch of a language, focusing purely on the parts which are necessary to produce names. So there’s little to no grammar, but a good sense of what the language sounds like, and how it’s written.
This is a map showing where all of the characters originated in Homer’s epic poem The Iliad. I know Greece is small by today’s standards, but it was surprising to me how geographically widespread the hometowns of the characters were. The Iliad is set sometime in the 11th or 12th century BC, about 400 years before Homer lived. I wonder if that level of mobility was accurate for the time or if Homer simply populated his poem with folks from all over Greece as a way of making listeners from many areas feel connected to the story — sort of the “hello, Cleveland!” of its time. (thx, adriana)
Update: I’ve gotten lots of feedback saying that not every character is represented in this map (particularly the women) and that some of the locations and hometowns are incorrect. Seems like Wikipedia might need to take a second look at it.
Update: The map was made using the Catalogue of Ships, a list of Achaean ships that sailed to Troy, and the Trojan Catalogue, a list of battle contingents that fought for Troy. That’s why it’s incomplete. An excerpt:
Now will I tell the captains of the ships and the ships in their order. Of the Boeotians Peneleos and Leïtus were captains, and Arcesilaus and Prothoënor and Clonius; these were they that dwelt in Hyria and rocky Aulis and Schoenus and Scolus and Eteonus with its many ridges, Thespeia, Graea, and spacious Mycalessus; and that dwelt about Harma and Eilesium and Erythrae; and that held Eleon and Hyle and Peteon, Ocalea and Medeon, the well-built citadel, Copae, Eutresis, and Thisbe, the haunt of doves; that dwelt in Coroneia and grassy Haliartus, and that held Plataea and dwelt in Glisas; that held lower Thebe, the well-built citadel, and holy Onchestus, the bright grove of Poseidon; and that held Arne, rich in vines, and Mideia and sacred Nisa and Anthedon on the seaboard.
W.E.B. Du Bois was an American author, sociologist, historian, and activist. Apparently Du Bois was also a designer and design director of some talent as these hand-drawn infographics show.
In addition to an extensive collection of photographs, four volumes containing 400 official patents by African Americans, more than 200 books penned by African-American authors, various maps, and a statuette of Frederick Douglass, the exhibition featured a total of fifty-eight stunning hand-drawn charts (a selection of which we present below). Created by Du Bois and his students at Atlanta, the charts, many of which focus on economic life in Georgia, managed to condense an enormous amount of data into a set of aesthetically daring and easily digestible visualisations. As Alison Meier notes in Hyperallergic, “they’re strikingly vibrant and modern, almost anticipating the crossing lines of Piet Mondrian or the intersecting shapes of Wassily Kandinsky”.
Wealth. If I had stayed close to the original chart, the updated version would have shown that in 2015, African American households in Georgia had a median income of about $36,655, which would fail to capture the story of inflation (net asset numbers aren’t published as cumulative for one race). Instead, I wanted to see how wealth varies by race in America today.
The story is bleak. I hesitated to use the word “worth”, but it’s the language used by the Census Bureau when they’re collecting this data and, since money determines so much of an individual’s life, the word seems relevant. For every dollar a black household in America has in net assets, a white household has 16.5 more.
The Infatuation has an interactive map of the best places to get soup dumplings, fried dumplings, wontons, and all that good stuff in NYC, plus ordering recommendations for each place.
You could easily quibble with the list itself — the numbers 1-17 aren’t supposed to be rankings per se, but it starts with lower Manhattan, then gets to Flushing and Sunset Park, and that’s it. Still, the nice thing about a map interface is that you don’t need to worry about who’s number 1 and who’s number 10 quite so much when you’re just trying to find a place in a nearby neighborhood that can deliver the goods. (God, I miss New York.)
Update: I mistook the numbers in the map’s list view for rankings and was all grumpy about all the Chinatown places being ahead of the Queens ones. As it turns out, some of the places have number ratings, some don’t, and the list is more a geographic sequence than anything else.
At The Awl, Victoria Johnson fondly remembers the books of her youth that contained extra material. Like maps.
If I ruled the world, or at least a publishing company, all books would contain as much supplementary information as possible. Nonfiction, fiction — doesn’t matter. Every work would have an appendix filled with diagrams, background information, digressions and anecdata. And of course, maps. Lots and lots of maps.
The Hobbit, Winnie the Pooh, and The Wizard of Oz all included great maps that expanded the story in the mind of the reader. Near the end of the piece, Johnson notes that The Hunger Games didn’t include a map of Panem and links to this fan-drawn map (image here):
The Capitol is in Denver.
D12 is Appalachia.
D11 shares a border with D12, is one of the largest districts, is South of D12, and is primarily used for growing grain and produce.
D10 is primarily used for raising livestock. They do NOT process the livestock in D10. However, to feed an entire nation, D10 is likely another very large District.
D9 processes food for the Capitol and the tesserae; therefore, it likely shares borders with the food production Districts (D4, D10, D11).
D8 produces and treats textiles and is a factory District. It is POSSIBLE to reach D12 from D8 on foot over a course of weeks/months. Therefore, it does not cross a large body of water.
It’s that time of year again. No, not Christmas or Hanukkah. As the year winds down, it’s an opportunity for Americans to investigate how differently they use words in different parts of the country. In December 2013, for example, people lost their damn minds over the NY Times’ dialect quiz. This year, you can play around with The Great American Word Mapper which uses Twitter data from 2014 to plot geographic usage patterns.
Some other interesting searches: “moma” (alternate spelling of “momma” in the South with a small pocket of usage around NYC for MoMA), “city” doesn’t give the result you might expect, the distribution of “n***er” vs “n***a” suggests they are two different words with two different meanings, and in trying to find a search that would isolate just urban areas, the best I could come up with was “kanye” (or maybe “cocktails” or “traffic”). And harsh, map! Geez. (via @fromedome)
This is cool and a little mesmerizing: animated US maps showing the most popular baby name in each state from 1910 to 2014 for boys and girls. There are three separate visualizations. The first just shows the most popular baby name in each state. Watch as one dominant name takes over for another in just a couple of years…the Mary to Lisa to Jennifer transition in the 60s and 70s is like watching an epidemic spread. Celebrity names pop up and disappear, like Betty (after Betty Boop and Betty Grable?) and Shirley (after Shirley Temple) in the 30s. The boy’s names change a lot less until you start getting into the Brandons, Austins, and Tylers of the 90s.
The next visualization shows the most particularly popular name for each state, e.g. Brandy was the most Louisianan name for female newborns in 1975. And the third visualization shows each name plotted in the averaged geographical location of births — so you can see, for example, the northward migration of Amanda during the 80s.
P.S. Guess what the most popular boy’s name in the state of my birth was the year I was born? And the most particularly popular boy’s name in the state I moved to just a year later? Jason. I am basic af.
If you were a religious reader of the encyclopedia and peruser of atlases like I was as a kid, you’ll love this video of interesting facts about almost 100 countries. There’s another video coming next week that’ll highlight the rest of the world’s countries…I’ll feature it here when they post it.
Update: I’ve embedded part 2 below the first video.
In this video, physicist Dominic Walliman explains how all of the various disciplines of physics are related to each other by arranging them on a giant map. He starts with the three main areas — classical physics, quantum mechanics, and relativity — and then gets into the more specific subjects like optics, electromagnetism, and particle physics before venturing across The Chasm of Ignorance (dun dun DUN!) where things like string theory and dark matter dwell.
This interactive experience enabled people to explore these changes like never before — to watch the sprouting of Dubai’s artificial Palm Islands, the retreat of Alaska’s Columbia Glacier, and the impressive urban expansion of Las Vegas, Nevada. Today, we’re making our largest update to Timelapse yet, with four additional years of imagery, petabytes of new data, and a sharper view of the Earth from 1984 to 2016.
A site called FamilyBreakFinder produced a world map with every country’s tourism slogan on it. A few of my favorite slogans:
Netherlands: The original cool
Colombia: Colombia is magical realism
El Salvador: The 45 minute country
Slovenia: I feel sLOVEnia
Cape Verde: No stress
Spain: #spainindetail
Morocco: Much mor
Bhutan: Happiness is a place
India: Incredible !ndia
Some of these countries should ask their ad agencies for their money back. (via @ftrain)
The North American Cartographic Information Society has published the third volume of The Atlas of Design, a book consisting of “beautiful and inspiring maps from around the world”.
The striking panorama above of Denali and the Alaska Range was created by draping satellite imagery over a three-dimensional model of the terrain. Brooke Marston, a cartographer at the U.S. State Department’s Bureau of Intelligence and Research, was inspired by the Austrian artist Heinrich Berann, who is famed for his beautiful panoramas of mountain ranges.
While Berann took some artistic license with the precise location and positioning of mountains in his panoramas, Marston’s map is true to the geography. The oblique, bird’s-eye view emphasizes the sheer size of the mountains while maintaining a closeness with the viewer. “Good oblique mapping can transport the viewer straight into the landscape,” Elmer says. “This map makes me feel lost among the jagged, cold, majestic mountains just looking at it.”
The New York Times took a map of the US and split it in two based on areas that voted for Clinton and Trump in the 2016 election. (Clinton’s map is pictured above.)
Mrs. Clinton’s island nation has large atolls and small island chains with liberal cores, like college towns, Native American reservations and areas with black and Hispanic majorities. While the land area is small, the residents here voted for Mrs. Clinton in large enough numbers to make her the winner of the overall popular vote.
That’s fun, but it’s another reminder of how strictly geographical maps distort election results.
P.S. They missed a real opportunity to call the chain of islands in the southern states The Cretaceous Atoll.
From the American Museum of Natural History, an animated timeline map of human population growth from 100,000 BCE to the present.
It took 200,000 years for our population to reach 1 billion. And only 200 years to reach 7 billion.
Interesting to see that the only sustained decline in the world’s overall population over the past 2000 years was during the bubonic plague outbreak during the Middle Ages.
That’s a portion of the 2012 US Presidential election map of the southern states broken down by county: blue ones went Barack Obama’s way and counties in red voted for Mitt Romney.
But let’s go back to the Cretaceous Period, which lasted from 145 million years ago to 65 million years ago. Back then, the coastline of what is now North America looked like this:
Along that ancient coastline of a shallow sea, plankton with carbonate skeletons lived and died in massive numbers, accumulating into large chalk formations on the bottom of the sea. When the sea level dropped and the sea drained through the porous chalk, rich bands of soil were left right along the former coastline. When that area was settled and farmed in the 19th century, that rich soil was perfect for growing cotton. And cotton production was particularly profitable, so enslaved people were heavily used in those areas.
McClain, quoting from Booker T. Washington’s autobiography, Up From Slavery, points out: “The part of the country possessing this thick, dark and naturally rich soil was, of course, the part of the South where the slaves were most profitable, and consequently they were taken there in the largest numbers.” After the Civil War, a lot of former slaves stayed on this land, and while many migrated North, their families are still there.
The counties in which slave populations were highest before the Civil War are still home to large African American populations, which tend to vote for Democratic presidential candidates, even as the whiter counties around them vote for Republicans. The voting pattern of those counties on the map follows the Cretaceous coastline of 100 million years ago — the plankton fell, the cotton grew, the enslaved people bled into that rich soil, and their descendants later helped a black man reach the White House.
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