Mini Metros shrinks and simplifies 220 subway and light rail systems; the end result fits on a single sheet. Its creator, Peter Dovak, explains the challenge of making small and simple representations of sometimes inordinately complex transit systems:
All of the cities in the project had the same requirements: they had to fit in a 120px circle (with 10px of padding), the lines had to be 3px wide with a minimum of another 3px between the next parallel line, and all diagonals had to be 45-degrees. The systems themselves needed to be full-fledged heavy rail metro systems or light rail networks that were distinct enough from trolleys or streetcars.
The makers of the Transit app (iPhone, Android) like to point out that whereas Apple’s transit maps are beautiful but basically hand-drawn and added manually and slowly, and Google’s maps are algorithmically generated but look terrible, their maps are algorithmically generated but look smooth and neat. A technical post by their backend developer explains in ridiculous detail how they managed to auto-generate their smooth, curved transit network maps.
This morning’s post about the AuthaGraph World Map reminded me of Buckminster Fuller’s Dymaxion map (which after all was explicitly referenced by its creator). Designer Brendan Ravenhill has produced a version of Fuller’s map in the form of a magnetic folding globe. Wired: “Like Fuller’s original map, Ravenhill’s globe can exist in two or three dimensions. Laid flat, it’s a series of 20 triangles that show Fuller’s projection as a single landmass. The back of each triangle features a magnet so you can fold the map into an angular globe. ‘Really it’s a toy, but a toy that has a lot of resonance and importance,’ Ravenhill says.” $15 each, in three colours. [Sociative GIS]
With all the new books coming to my attention in recent weeks, it’s taken me a while to update the Map Books of 2016 page, but I’ve finally done so.
I’m also beginning to hear about books coming out in 2017, so it’s not too early for me to start working on the Map Books of 2017 page.
Some of you may have noticed the bestseller list on the sidebar of The Map Room’s home page (if you’re browsing on a mobile device, it’s at the bottom of the page). It’s based on Amazon and iBooks affiliate sales via this website over the previous three full months: right now it covers August through October; on December 1st I’ll drop August and add November, and so on.
Japan’s Good Design Awards have been announced for 2016, and the Grand Award has gone to an unusual map. The AuthaGraph World Map “is made by equally dividing a spherical surface into 96 triangles, transferring it to a tetrahedron while maintaining areas proportions and unfolding it to be a rectangle.” Follow that? Sphere to tetrahedron to rectangle.
The brainchild of designer Hajime Narukawa, the AuthaGraph map was first released in 2010. What’s it for? In many ways it’s sort of a Japanese Peters projection: it aims to maintain the relative sizes of the continents. From the page selling the map outside Japan:
Every world map that has been invented since the Mercator Projection was first revealed in 1569 can be divided into two groups. One group fits the world into a rectangle by distorting the continents. The other group corrects the distortion, but at the cost of the rectangular shape. This is what drove Narukawa to create a map which is rectangular like the Mercator Projection map, and yet correctly projects the continents like the Dyxmaxion Map (revealed in 1946).
Today, print subscribers to the New York Times were treated to a fold-out map showing a choropleth map of the 2012 election results at the ZIP code level (above). “The map is part of a special election section that aims to help explain the political geography of the United States — identifying where people who are conservative and liberal live and pointing out how physical boundaries, like the Rio Grande and the Cascade Mountains, often align with political ones,” writes the Times’s Alicia Parlapiano.
Parlapiano’s piece is in fact a lengthy tutorial on how to read election maps, along the lines of the pages I linked to in last week’s post on election map cartography—it outlines the problems of state-level election maps and choropleth maps that privilege area over population, for example, and shows some other ways of depicting the results.
I can only conclude that both the Times and the Post are making efforts to educate their readers before the election results start coming in, one week from tonight. (Deep breath.)
Two dark, torn illustrations found in the garage of a Palm Springs home and listed for sale as “two 19th century hand colored prints of the world” turned out to be something quite possibly a bit more significant. First identified as two panels (of six) from a 1708 Korean map, Kim Jin-yeo’s Gonyeomangukjeondo (곤여만국전도), which is a derivative of Matteo Ricci’s famous Kunyu Wanguo Quantu (aka the “Impossible Black Tulip”), the panels ended up selling earlier this month for $24,000; the buyer, map dealer Barry Ruderman, is restoring the map for sale and suspects that it may in fact be a 17th-century Chinese copy rather than a Korean map. Daily Mail, Fine Books Magazine. [WMS]
Many of Evans’s humorous stories go a way to responding to some of the scientific inadequacies and toponymic foibles so common in place naming studies. And after I’ve spent almost a decade inundated with often sterile and uninspirational place name theory and how it may fit within more general research in onomastics, the study of proper names, Evans’s tongue-in-cheek take is more than welcome.
I get the distinct impression that this is a less-serious work of scholarship than Monmonier’s. [WMS]
Here’s an appropriately spooky map for Halloween: Grim London, a map that celebrates the creepy side of London’s history. “Bringing the scary truths to life, Grim London is a personalised interactive map of the most spine-chilling events that have occurred across the capital.” [TimeOut London]
Over all, the gains are substantial: a seven-percentage-point drop in the uninsured rate for adults. But there remain troublesome regional patterns. Many people in the South and the Southwest still don’t have a reliable way to pay for health care, according to the new, detailed numbers from a pair of groups closely tracking enrollment efforts. Those patterns aren’t an accident. As our maps show, many of the places with high uninsured rates had poor coverage before the Affordable Care Act passed. They tend to be states with widespread poverty and limited social safety nets. Look at Mississippi and Texas, for example.
Next year’s annual meeting of NACIS, the North American Cartographic Information Society, will take place from 10-13 October 2017 in Montreal. Hey, my home province — I might actually be able to attend.
With less than two weeks before the 2016 U.S. presidential election, it’s time for a refresher on election map cartography, particularly in the context of U.S. presidential elections.
Cartograms
2012 U.S. presidential results. At right, a cartogram scaled by electoral vote. Maps by Mark Newman.
Let’s start with the basics: at All Over the Map, Greg Miller explains the problem with U.S. presidential election maps—big states with few electoral votes look more important than smaller states with more votes—and introduces the idea of the cartogram: a map distorted to account for some variable other than land area.
The map may not look advanced today, but in 1883 it broke new ground by enabling Americans to visualize the spatial dynamics of political power. Readers responded enthusiastically. One reviewer pointed to the Republican counties in Arkansas—something left invisible on a map of the Electoral College returns—and wondered what other oddities of geography and history might be uncovered when election returns were more systematically measured. In other words, the map revealed spatial patterns and relationships that might otherwise remain hidden, or only known anecdotally. Perhaps its no coincidence that at the same time the two parties began to launch more coordinated, disciplined, nationwide campaigns, creating a system of two-party rule that we have lived with ever since.
(This map also inverts the modern colours for the two main U.S. political parties: here the Democrats are red and the Republicans are blue. Those colours were standardized only fairly recently.) [Geolounge]
For other ways of mapping election results, see this gallery of thematic maps, which includes things like 3D choropleth maps, dot density maps, and all kinds of variations on cartograms and choropleth maps. There’s more than one way to map an election. [Andy Woodruff]