Concentrations of NO2 in the atmosphere are highly variable in space and time: they typically vary by one order of magnitude within each day and quite substantially from one day to another because of the variations in emissions (for example the impacts of commuter traffic, weekdays and weekend days) as well as changes in the weather conditions. This is why, even if observations are available on a daily (currently available from satellites) or even hourly (ground-based observations) basis, it is necessary to acquire data for a substantial period of time in order to check that a statistically robust departure from normal conditions has emerged.
Cloud cover is a factor that needs to be taken into account as well.
Three versions are available: a 42×52-inch (107×132.5-cm) poster, a 44×54-inch (111.7×138.3-cm) giclée print in a limited edition of 1,200, and a 48×59-inch (121×149.6-cm) giclée print in a limited edition of 400. Prices will be shown in your local currency: in Canadian dollars they’re $95, $490 and $765, respectively. These are discounted prices for pre-orders. Shipping outside Australia will be by UPS (I was quoted a shipping fee of US$35 at checkout), and will begin on April 16.
My main concerns are where I’m going to put it, and how I’m going to have it framed. But I’ll worry about that later.
Cartographer Hans van der Maarel, of Red Geographics, is interviewed about what it’s like to be a cartographer for a podcast called Discover Your Talent—Do What You Want. I’ve never heard of this podcast, but seems to focus on careers and career planning, which explains some of the questions. The episode is thirty minutes long. [via]
On a personal level, the coronavirus map I stare at the most is the one closest to home: a dashboard that shows the regional incidence of COVID-19 in Quebec. Maintained by two geographers at Laval University, it’s extremely helpful in that it shows the per capita rate as well as the raw numbers, which highlights (for example) just how many cases there are in the Eastern Townships, and how few there are here in the Outaouais, as a percentage of the population. [Le Droit]
Less helpful is New York City’s map showing the percentage of patients testing positive for COVID-19, because its neighbourhood detail is so difficult to interpret, as Patch’s Kathleen Culliton points out. “Neighborhoods are designated by numbers instead of name—408 is Jamaica, Queens, by the way—and the percentages are not connected to population data but to those tested. The number of people tested per zone? Not included. The population [per] zone? Not included.” [Kenneth Field]
It’s hard to maintain social distancing in a dense urban environment like New York, but that doesn’t mean that rural areas are inherently safer. Identifying areas that would be hit harder by the coronavirus can be a factor of age and various social vulnerability factors (such as poverty and vehicle access); John Nelson looks at the intersection of age and social vulnerability in this StoryMap and this blog post. The Washington Post’s maps of vulnerability are based on age and flu rates. A third example is Jvion’s COVID Community Vulnerability Map, which is based on anonymized health data from some 30 million Americans [ZDNet].
Want to see the true potential impact of ignoring social distancing? Through a partnership with @xmodesocial, we analyzed secondary locations of anonymized mobile devices that were active at a single Ft. Lauderdale beach during spring break. This is where they went across the US: pic.twitter.com/3A3ePn9Vin
Failing to observe social distancing makes the pandemic worse. You might have seeen Tectonix’s video on Twitter, drawn from the location data of mobile devices that were active at a single beach in Florida over spring break, and followed them home. As CTV News reports, the video has drawn fire from privacy advocates, though Tectonix asserts that the data was anonymized and collected with user consent. Meanwhile, the New York Times explores several scenarios of coronavirus spread, comparing what might happen with some control measures, more severe control measures, and no action taken at all.
Cheung and Lee plotted the orbits of navigation satellites from the United States’s Global Positioning System and two of its counterparts, Europe’s Galileo and Russia’s GLONASS system—81 satellites in all. Most of them have directional antennas transmitting toward Earth’s surface, but their signals also radiate into space. Those signals, say the researchers, are strong enough to be read by spacecraft with fairly compact receivers near the moon. Cheung, Lee and their team calculated that a spacecraft in lunar orbit would be able to “see” between five and 13 satellites’ signals at any given time—enough to accurately determine its position in space to within 200 to 300 meters. In computer simulations, they were able to implement various methods for improving the accuracy substantially from there.
A mini-network of relays—a couple of satellites in lunar orbit, say—could improve accuracy further. [Geography Realm]
Gizmodo takes a look at the Imaginary Maps group on Reddit, where members mostly post imagined maps from alternate timelines—countries that never existed, the aftermath of wars that went the other way, that sort of thing. The bulk of the piece is an interview with frequent contributor xpNc, who talks about their own motivations for creating such maps. Some, of course, are controversial—a good way to pick a fight, apparently, is to draw a map of the Balkans with alternate borders. And, as xpNc tells Gizmodo, “Some people are just a little bit too enthusiastic about scenarios where Germany takes over the world, and I really don’t want to attract that crowd”—fortunately the wave of “Germany wins the Second World War” maps that I saw on the group a while back (last year?) seems to have abated.
Gareth Fuller, whom we first heard about thanks to his masterpiece London Town, is in the news again. Now based in Beijing, he found himself forced to self-quarantine for 14 days after returning from a trip to Kuala Lumpur. Fuller has mapped every place he has lived, so he spent his two weeks of isolation creating quarantine maps—one for each day. The maps are claustrophobic—his apartment is 590 square feet—metaphorical, even fantastical. They’re very much on-point in this age of self-isolation and social distancing. They’re available as a set of postcards for £14, which is considerably cheaper than his other limited edition prints.
The digital globes will be available to view on the British Library website—www.bl.uk/collection-items—from 26 March, via a viewing platform which includes an augmented reality function (available on phone or tablet via the Sketchfab app). This online access will allow unprecedented up-close interaction with the globes from anywhere in the world and means that for the first time, a variety of previously illegible surface features on the globes can be read.
A total of 30 globes are being scanned this way. [The Guardian]
Hackers have created fake coronavirus map websites that install malware on users’ computers. According to Reason Security’s analysis, the websites resemble the coronavirus map dashboards produced by legitimate organizations, but prompt users to download an application: the application activates a known malicious piece of malware called AZORult, which collects browser information (cookies, browser histories, IDs and passwords). Not terribly surprising that bad actors are trying to exploit a crisis, but depressing all the same. More at Business Insider, The Hacker News and TechRadar.
A couple of years ago, Amanda Ripley discovered that Google Maps had two locations listed for her home, which made giving directions difficult. As the change propagated to services that used Google Maps, the problem worsened. Deliveries kept turning up at the other location. But it turned out that there was no way to notify Google of this specific problem. She had to use her media credentials as a workaround to get it fixed. (Check out Google’s statement at the end: it’s a textbook case of customer service gaslighting.)
