The COVID-19 Event Risk Assessment Planning Tool is a county-by-county map of the U.S. that shows the risk of coming into contact with a COVID-positive individual at an event. “This site provides interactive context to assess the risk that one or more individuals infected with COVID-19 are present in an event of various sizes. The model is simple, intentionally so, and provided some context for the rationale to halt large gatherings in early-mid March and newly relevant context for considering when and how to re-open.” A slider changes the size of the event; risk goes up dramatically with bigger events, of course. Which you’d think would be intuitively obvious. You’d really think so, wouldn’t you. [Cartophilia]
COVD-19 is hitting the United States very hard right now. This interactive map from the Harvard Global Health Institute measures COVID-19 risk at the county level. The four colour-coded risk levels are based on a seven-day rolling average of new COVID-19 cases per 100,000 people: less than one means green (“on track for containment”); more than 25 means red (“tipping point”). It’s explained here. [Matthew Edney]
Last month the New York Times covered a subject that you’d expect to be too technical for the general reader: NOAA’s efforts to recalibrate elevation data as part of its update to the National Spatial Reference System, expected in 2022 or 2023. The height modernization program corrects local elevation data—which was last updated in 1988—by using GPS and gravity mapping. The Times article looks at the real-world implications of this effort, which will have the greatest impact the further west and north you go (see map above), from bragging rights about mountain elevation to whether your community is in a floodplain. [MAPS-L]
Previously: NATRF2022 Datum Coming to North America in 2022.
Tom Patterson’s latest project is a map of the physical features of the contiguous United States.
This map showcases physical features—mountains, plains, rivers, lakes, etc.—of the 48 contiguous US states. Map colors reflect natural environments across the continent from the forested east to the snowcapped Rockies to the desert southwest. You will also find a smattering of cities and faint state lines for reference.
Emphasis on smattering: there are only enough human features—cities and borders—to orient the reader; the focus is on bodies of water and landforms.
It’s freely available and in the public domain: it can be downloaded, shared and modified.
CityLab maps the percentage of U.S. households with no internet access by school district—an increasingly important number as schools close to deal with the COVID-19 pandemic, and explore online classes as an alternative delivery system in the meantime. That’s a problem for kids who don’t have internet at home—and an even bigger problem where more kids are in that situation.1
Mount Vernon’s library is the recipient of a major donation of 18th-century maps, images and other documents pertaining to the American Revolution that is valued at around $12 million. The Richard H. Brown Revolutionary War Map Collection, named for the private collector who donated them, features more than 1,000 items dating from between 1740 and 1799. Of those items, 292 have been digitized so far. Mount Vernon’s Fred W. Smith National Library for the Study of George Washington took possession of most of the donation last month. [WMS]
This timelapse video showing 10 years of weather radar over the course of two hours is built from NEXRAD mosaic data at the Iowa Environmental Mesonet site. To be honest they could have gone even further back: the archived data for the U.S. goes back as far as 1995. But then you’d have a five-hour video, and who’d watch that? [Kottke]
The U.S. National Library of Medicine’s TOXNET, an interactive map that tracked pollution, chemical exposure, toxicology and other data, was shut down last month. The move has been criticized in the context of the Trump administration’s rollback of environmental protections, but the NLM insists that the decision was theirs. The data mapped by TOXNET is available from other sources, but, and this is the point, not as easily or centrally accessible. [The Hill, Newsweek]
Fall foliage maps, which show the best times and places to observe autumn leaves, have been a thing for a good long while. The Washington Post’s take on them is something earnestly next level, with a detailed explanation of the biology and satellite images showing the change in colour across the United States. (I don’t need fall foliage maps: I live on an acre of beech and maple forest and get all the fall colours right outside my window, though here in Canada the leaves are almost all on the ground by now.)
Matt Forrest of Carto says we should stop using Zip codes in geospatial analysis.
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.
Meanwhile, on Twitter, Bill Morris defends the use of Zip codes: yes, they’re overused; yes, they should only be used in the worst case; but they may be the only local unit a client or user will find easy to understand.
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]
The NASA Applied Sciences Program has partnered with the Centers for Disease Control and Prevention (CDC) to create the first publicly available map of ultraviolet (UV) radiation for all counties in the contiguous United States. The dataset, which spans 2005-2015, is available on the CDC’s National Environmental Public Health Tracking network, which delivers information and data about health issues related to environmental factors. Public health officials, city planners, or individuals concerned about Sun exposure can learn how much ultraviolet radiation is falling over each county each month, which is an important step in helping reduce skin cancer risks.
The animated map above shows the monthly average UV dose in 2015.
Last month the Washington Post gained access to ARCOS, the U.S. Drug Enforcement Agency’s database of controlled substance transactions, which tracks the path, from manufacturer to pharmacy, of every pain pill in the United States. The Post’s initial analysis found that some 76 billion oxycodone and hydrocodone pills were distributed in the U.S. between 2006 and 2012, that only a few companies manufactured and distributed the bulk of the pills, and some regions of the country were utterly saturated with the pills. That’s where the maps come in: the Post has county-level maps of all this data.
Comparing county-level maps of opioid overdose deaths and pill shipments reveal a virtual opioid belt of more than 90 counties stretching southwest from Webster County, W.Va., through southern Virginia and ending in Monroe County, Ky. This swath includes 18 of the top 20 counties ranked by per-capita prescription opioid deaths nationwide and 12 of the top 20 counties for opioid pills distributed per capita.
Revealing. Damning. Horrifying.
In a series of maps, the New York Times explores where the donors to the various Democratic candidates for U.S. president live. The maps are based on data to June 30, and include donations of $200 or more. Bernie Sanders has by far the most donors so far, and they’re distributed broadly, so the second map on the page excludes Sanders donors to tease out where other candidates’ donors are concentrated regionally.