Maps Mania reported last month that the University of Virginia’s Racial Dot Map has been taken offline. The proximate causes: the 2020 census, which rendered the map obsolete (it was based on 2010) data; the increased complexity of the 2020 census’s racial data (more people IDing as multiracial or other); and insufficient resources to bring the map up to date given that complexity. But Maps Mania points to a number of new racial dot maps, such as CNN’s and Ben Schmidt’s All of US, which operate despite the caveats identified by UVa; plus see the following previous posts: Census Mapper: An Interactive Map of U.S. Population Changes; Mapping Racial Population Shifts in the United States.
Content warning: Some of these links contain disturbing images: I’ve marked them with a †.
More on the question of whether theatre maps accurately reflect the ground situation. Nathan Ruser’s maps have been used to argue that Russian forces are controlling roads rather than territory, but Ruser complains that his maps are being misinterpreted: they were never meant to show territorial control, just troop movements. See also this Twitter thread from Jennifer Cafarella, in which she explains the methodology and reasoning behind her team’s maps.
Where hot spots are literally hot spots. In a Twitter thread, Sotris Valkaniotis shows how military operations in Ukraine show up in Landsat spectral imagery: weapons fire turns up as hot spots showing “very high temperature in short-wave infrared band.”
A map of checkpoint traffic. More than two million Ukrainians have fled the Russian invasion. Overwhelmingly, they’re fleeing westward. This map shows how busy each border checkpoint is: Polish border crossings are extremely congested. [Kyiv Independent]
Meanwhile, Kenneth Field has been working on ways to map Ukraine’s refugees. Here’s his most recent iteration:
Update to my illustrative #Ukraine refugee map.
Adds more displaced grey dots to major populated areas.
— Kenneth Field (@kennethfield) March 8, 2022
Ukraine’s population density. More than 41 million people live in Ukraine. This map from Airwars shows the population density per square kilometre. Which shows how many people in an area are affected by a particular military strike.
Apple says Crimea is Ukrainian. Mashable: “Apple’s Maps and Weather apps now mark Crimea as part of Ukraine when accessed outside of Russia. It appears the company has quietly updated its stance on the territorial dispute.” Apple had marked Crimea as Russian in 2019, which pissed Ukraine off at the time. [TechCrunch]
Finally, this striking bit of art:
By Ukrainian tattoo artist Eugene Anatsky pic.twitter.com/qVybeGYAuE
— Olga Tokariuk (@olgatokariuk) March 5, 2022
Census Mapper maps the change in the U.S. population revealed by the 2020 census: the interactive map takes a county-by-county look at population growth (or decline) of the various ethnic/racial groups. [Maps Mania]
The HTC 2020 map is an interactive map of hard-to-count communities built for campaigns to increase participation in the United States’s 2020 census. Hard-to-count communities are populations that historically have a poor self-response rate: they return their census forms online or by mail at lower rates, requiring followup interviews by enumerators. The map shows response rates by census tract, and notes the demographics of each tract in terms of why the response rates might be low: lack of Internet access, or large numbers of people who are historically undercounted (poor, rural, people of colour). [NYPL]
NASA’s Socioeconomic Data and Applications Center (SEDAC) has produced a population estimation service “for estimating population totals and related statistics within a user-defined region.” Basically, it provides a population estimate for an area drawn on a map. Available as data via map and GIS clients, it’s also accessible via a web app. I’ve noodled about with it; its population estimates are generally not insane. [Kottke]
The number of same-sex marriages in the United States is not directly tracked. But a new Treasury Department research paper has been able to come up with a count of same-sex marriages by looking at jointly filed tax returns; the New York Times story is accompanied by a nice interactive map of such marriages by zip code. [MAPS-L]
Reddit user joostjakob posted the above map to MapPorn with the following caption: “Why population density maps are hard to read: exactly the same amount of people live in the black and in the blue areas.” [Maps on the Web]
Last month a Bloomberg story looked at the racial implications of Amazon’s same-day delivery service, which, the story demonstrated in a series of maps, tended to exclude predominantly black ZIP codes.
The exclusions were basically driven by the data: where their customers were, driving distance to the nearest fulfillment centre, that sort of thing. But the issue, it seems to me, is that the demographics behind the data are not racially neutral (something that Troy Lambert’s analysis for GIS Lounge, for example, fails to address): Amazon basically failed to ask its data the next question. Be very careful of why your data is the way it is. In the event, Amazon has since announced that excluded neighbourhoods and boroughs in Boston, New York and Chicago will get same-day service.
(Full disclosure: The Map Room is an Amazon associate.)
Le Grand Paris en Cartes is a collection of interactive maps and infographics about the Grand Paris Express, a multi-billion-euro project to extend Paris’s Metro and rapid transit network deep into the surrounding Île-de-France region (if you can read French, the official site and French Wikipedia page provide a lot more information). These maps not only illustrate Parisians’ commuting routes and Metro usage, but also (see above) the kind of sociological data that underpins transit planning: employment centres, population density and so forth. In French. [via]