ProPublica is tracking—and mapping—bomb threats against Jewish organizations and community centers in the United States. As of this moment, there have been 133 threats against 99 locations since January 1st.
In response to measures like North Carolina’s House Bill 2, which restricts access to public washrooms by transgender people, crowdsourced online maps of safe washrooms—places with unisex or gender-neutral washrooms, or that let transgender people use the washroom that matches their gender identity—have been created: Refuge Restrooms has both a list and a map view; Safe Bathrooms uses Google My Maps. These maps seem like the modern-day equivalent of The Negro Motorist Green Book for trans people. [WMS]
The Washington Post maps the parts of the United States most dependent on trade—and thus most at risk if the Trump administration starts a trade war with the U.S.’s trading partners.
50 Fantasy States is Chris Engelsma’s ongoing project to create fantasy-style maps of all 50 U.S. states. Six have been completed so far, including the above fantasy map of Alaska.
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]
Previously: Electoral Map What-Ifs.
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.
Taking things one step further, Josh Wallaert of Places asked Freeman “to calculate who would win the 2016 election if the states were redrawn under plausible scenarios.” The result is a collection of electoral might-have-beens based on familiar scenarios: Pearcy’s 38 states, Freeman’s 50 states with equal population, even the megaregions based on commuter data we saw earlier this month. Each map demonstrates that, under the U.S. system, who wins depends on where you draw the borders.
Like The United Swears of America, The Great American Word Mapper explores regional variation in English language use in the United States based on geocoded Twitter data, this time through a search interface that allows side-by-side comparisons. As before, forensic linguist Jack Grieve is involved, along with fellow linguist Andrea Nini. [Kottke]
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.)
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]
Mapping U.S. election results by county and state is a bit different than mapping results by electoral or congressional district, because counties and states don’t have (roughly) equal populations. Choropleth maps are often used to show the margin of victory, but to show the raw vote total, some election cartographers are going 3D.
Max Galka of Metrocosm has created an interactive 3D map of county-level results (above) using his Blueshift tool. The resulting map, called a prism map, uses height to show the number of votes cast in each county.
Maps need data. Election maps need election results. Data journalist Simon Rogers looks at the challenges of laying hands on open, publicly available county-level election results for use in election maps.