President Trump’s proposed budget would end funding for Amtrak’s long-distance passenger routes, leaving only the Northeast Corridor and state-funded lines. Maps of the lines that would be closed share the problems of Amtrak network maps in general. Take USA Today’s map from its 12 April article on the subject:
Like electoral maps that make large, less-populated areas look more important than densely populated areas, this map is somewhat deceptive: it distorts the extent of the cutbacks because it shows lines rather than trains. There are, for example, a lot more trains in the Northeast Corridor than run between Chicago and the Pacific Northwest (the daily Empire Builder). State-run services tend to have lots of lines and trains over short distances that are too small to see clearly on this map. Adding connecting services (which are usually bus routes) adds even more detail, and clutter, to a small map.
President Trump’s budget proposes eliminating the EPA’s Great Lakes Restoration Initiative. That fact is no doubt what’s behind two publications posting maps earlier this month, only a couple of days apart, showing the environmental stresses on the Great Lakes basin.
Last month the New York Times mapped the U.S. cultural divide by looking at television viewing preferences. More precisely, the geographic distribution of viewership for the 50 most-liked TV shows. The correlation between Duck Dynasty fandom and voting for Trump was higher than for any other show. More surprisingly, the show most correlated with voting for Clinton? Family Guy.
Writing for the Portland Press-Herald, Colin Woodard compares the 2016 presidential election results to the eleven regional cultures he sets out in his 2011 book, American Nations. “The bottom line: the 2016 presidential election results exhibited the same regional patterning we’ve seen in virtually all competitive contests in our history, including those in 2008 and 2012. But by running on an unconventional platform, Donald Trump was able to erode his rival’s margins in certain nations.” He did better enough in rural Yankeedom and the Midlands to deny Clinton the victory in states she could not afford to lose. With plenty of maps to show the swing from the 2008 and 2012 votes. [Cartophilia]
Neil Freeman’s Random States of America creates election maps from an alternate reality. They apply real-world election results to randomly generated state boundaries, which can yield radically different results than what actually happened.
While the map shows the historical probability that a snow depth of at least one inch will be observed on December 25, the actual conditions in any year may vary widely from these because the weather patterns present will determine the snow on the ground or snowfall on Christmas day. These probabilities are useful as a guide only to show where snow on the ground is more likely.
While the subject may seem whimsical, it’s based on 1981-2010 Climate Normals data; this paper details into the methodology involved. (It also answers a question that climatologists and meterologists get a lot.)
Computed communities subject to interpretive analysis. From Nelson and Rae 2016.
Tract-to-tract commutes of 160 km or less. From Nelson and Rae 2016.
A commuter flow-based regionalization of the United States. From Nelson and Rae 2016.
In a paper published in PLOS One, Garrett Dash Nelson and Alasdair Rae explore whether megaregions—i.e., a region centred on a major metropolitan area—can be determined algorithmically, using commuter flow data. In the end they conclude that “any division of space into unit areas will have to take into account a ‘common sense’ interpretation of the validity and cohesion of the regions resulting from an algorithmic approach. For this reason, the visual heuristic method coupled with the algorithmic method offers a good combination of human interpretation and statistical precision.” In the process, they’ve generated a series of maps that are fascinating on several levels, including a final map of megaregions that combines algorithmic results with visual heuristics (i.e., human judgment). [Atlas Obscura]