NASA Earth Observatory has had several stories on the western U.S. wildfires, gathered here. This story summarizes the situation; satellite images of the smoke generated by the fires can be seen here, here and here.
Zealandia (Te Riu-a-Māui) is the name given to a proposed, and largely submerged eighth continent, of which New Zealand (Aotearoa) is the largest above-water remnant. Explore Zealandia is geoscience company GNS Science’s web portal to their maps of this largely submerged continent, including bathymetry, tectonics, and other data; the data is also available for download. [WAML]
“Mapping a Better Tomorrow” is a 30-minute film produced in 1971 to explain the work of the U.S. Army Topographic Command (TOPOCOM). After explaining maps from first principles, it covers the state of the art in terms of cartography, computer mapping, photogrammetry and surveying circa 1971, including the production of topographic maps, maps of the Moon and maps of, erm, southeast Asia. Since U.S. government publications are public domain, it’s available in several locations, including the Internet Archive (above), DailyMotion and Vimeo.
TOPOCOM itself had a short history. Created in 1968 (PDF) as the successor to the U.S. Army Map Service, it lasted less than four years before being merged into the Defense Mapping Agency (DMA) in 1972. Which in turn was merged into the National Imagery and Mapping Agency (NIMA) in 1996. Which in turn was renamed the National Geospatial-Intelligence Agency (NGA) in 2003.
ArcGIS-based dashboards tracking the spread of the novel coronavirus are now reasonably common, but the first was produced by Johns Hopkins University’s Center for Systems Science and Engineering. As Nature Index reports in this behind-the-scenes look at the JHU coronavirus dashboard, the decision to launch was spur of the moment, but now the dashboard and its underlying data get more than a billion hits every single day, and it is now managed by a team that numbers nearly two dozen. [GIS Lounge]
Este Geraghty, Esri’s chief medical officer, suggests five ways that maps can help communities respond to COVID-19. Very much in a GIS context: putting data on a map and letting users—officials in this case—make decisions based on that data.
Belatedly noted, thanks to a story in Penn State News last month: Cynthia Brewerwas awarded the American Geographical Society’s O. M. Miller Cartographic Medal at the AGS’s symposium last fall. Brewer, a geography professor at Penn State since 1994, is the author of Designing Better Maps: A Guide for GIS Users (previously) and the creator of the ColorBrewer colour design tool for cartographers. The Miller medal is no minor award: this is only the eighth time it’s been awarded since it was created in 1968; past recipients have included Waldo Tobler, Arthur Robinson, Mark Monmonier and, in 2017, John Hanke and Brian McClendon (basically, the team behind Google Maps). Brewer is the first woman to receive the award.
John Nelson reports that the Spilhaus projection will be supported in the next version of ArcGIS—version 2.5, to be released in a few months. This odd projection, which centres Antarctica on a world map showing the oceans as a single, uninterrupted body of water; went viral last year. Requests for ArcGIS support soon followed. Thing is, ArcGIS support requires the math behind the projection: figuring out that math took some sleuthing. The Spilhaus is, it turns out, basically an oblique aspect of the Adams World in a Square II projection.
Even though there are different place associations that probably mean more to you as an individual, such as a neighborhood, street, or the block you live on, the zip code is, in many organizations, the geographic unit of choice. It is used to make major decisions for marketing, opening or closing stores, providing services, and making decisions that can have a massive financial impact.
The problem is that zip codes are not a good representation of real human behavior, and when used in data analysis, often mask real, underlying insights, and may ultimately lead to bad outcomes.
Zip codes, Matt says, are arbitrary: too many things going on at a local level can be missed if they don’t line up with zip code boundaries (such as the Flint water crisis). He does offer some alternatives: census tracts, spatial indices and good old fashioned addresses.
But computer mapping may be about to overtake hand-drawn illustration. John M. Nelson has created an ArcGIS style that does the very thing Dan Bell does by hand: emulate the maps of Middle-earth executed by Christopher Tolkien and Pauline Baynes. The style is called, naturally, My Precious: John explains it here and here, and demonstrates the style with this map of the Americas.
There are, of course, some flaws in this method: a mechanical representation of a hand-drawn style risks falling into the uncanny valley’s cartographic equivalent, especially when mountain and forest signs are clone-stamped over large areas. And to be honest I’m not a fan of the Aniron font: those letterforms were used in the Lord of the Rings movies, but never the books’ maps, and now they’re found on damn near every Tolkien-style map, and we hates it, precious, we hates it forever. But Nelson is basically emulating modern fantasy map practice: modern fantasy maps are invariably done in Illustrator, labels are computer generated rather than hand-drawn, and hill signs are clone stamped. Applying it to real-world maps, and GIS software, is new, but a difference in degree.
The Gall-Peters projection is a second-rate projection with first-rate public relations; cartographers’ responses to the projection that focused on its cartographic shortcomings ended up missing the point. Something different is happening with the Equal Earth projection, which was announced last month as a response to Gall-Peters: an equal-area projection with “eye appeal.” It’s getting media traction: the latest news outlet to take notice is Newsweek. So, finally, there’s an alternative that can be competitive on the PR front, without having to mumble something about all projections being compromises until the eyes glaze over.
John Nelson’s map of tornado migration in the United States, showing the seasonal variations in tornado occurrence, is a master class in data visualization and design—in deciding on the right way to present geographic information. The map combines three styles—impressionistic choropleth, weighted mean centre movement diagram, and small multiple—to present month-by-month information all at once; in the accompanying text (also here), Nelson discusses some of the alternatives he could have chosen instead. And in a separate post he talks about how he made the map. [Esri]
Belatedly noted, thanks to 
