An Ottawa city councillor wants take a page out of Los Angeles’s playbook and create a real-time interactive map of the city’s road conditions. L.A.’s street assessment map rates road conditions as good, fair or poor. Since Ottawa’s roads are on balance between fair and poor, it might be revealing, if uncomfortable, to have all that road data easily accessible; at the moment it can only be accessed by asking city officials about the state of a given street.
When I started contributing edits to OpenStreetMap in earnest, I couldn’t help notice certain idiosyncrasies in its tagging: for example, there was a tag for brothels, which I didn’t need to use, but there wasn’t one for daycares, which in Quebec there are rather a lot of. That seemed odd. And it was indicative of a project whose contributors were overwhelmingly male. On CityLab, Sarah Holder examines OSM’s abysmally low female participation rate (only two to five percent of contributors are women), makes the case for better representation, and looks at where women are making a difference to the map. Because a map built overwhelmingly by men can have some massive blind spots.
When it comes to increasing access to health services, safety, and education—things women in many developing countries disproportionately lack—equitable cartographic representation matters. It’s the people who make the map who shape what shows up. On OSM, buildings aren’t just identified as buildings; they’re “tagged” with specifics according to mappers’ and editors’ preferences. “If two to five percent of our mappers are women, that means only a subset of that get[s] to decide what tags are important, and what tags get our attention,” said Levine.
Sports arenas? Lots of those. Strip clubs? Cities contain multitudes. Bars? More than one could possibly comprehend.
Meanwhile, childcare centers, health clinics, abortion clinics, and specialty clinics that deal with women’s health are vastly underrepresented. In 2011, the OSM community rejected an appeal to add the “childcare” tag at all. It was finally approved in 2013, and in the time since, it’s been used more than 12,000 times.
Interestingly, when you look at crisis mappers, the female participation rate jumps: to 27 percent, based on a survey of the Humanitarian OpenStreetMap Team community.
Much chatter on Twitter about a blog post criticizing OpenStreetMap that made it to the front page of Hacker News; problem is, said chatter hasn’t been linking to said blog post. Here it is: “Why OpenStreetMap is in Serious Trouble,” in which Serge Wroclawski argues that OSM has lost its way on a technical and management level:
Before I criticize the project, I want to state emphatically that I still believe wholeheartedly in the core principles of OpenStreetMap. We need a Free as in Freedom geographic dataset just as much today as we did in the past. When I wrote my article about OSM in 2012, self-driving cars and other services were still a dream. Today the importance of having a highly accurate, libre geographic dataset is more important than ever, and I support those working to make it happen.
That said, while I still believe in the goals of OpenStreetMap, I feel the OpenStreetMap project is currently unable to fulfill that mission due to poor technical decisions, poor political decisions, and a general malaise in the project. I’m going to outline in this article what I think OpenStreetMap has gotten wrong. It’s entirely possible that OSM will reform and address the impediments to its success—and I hope it does. We need a Free as in Freedom geographic dataset.
I do love me a good rant; and as an OSM contributor myself, I do recognize some of the problems Serge highlights, particularly the difficulties in importing data, moderating edits, and vandalism.
Since getting linked there is what drew attention to it, Hacker News comments (I know, I know) are here.
Previously: OpenStreetMap at the Crossroads.
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 good news is that, in some ways, Mapzen’s founders built it to fail. “Part of the rules with Mapzen is that everything is open source and we only deal with open data,” says CEO Randy Meech. “Luckily, we’re staffed to help people stand things up on their own.” Users now have T minus 28 days to grab the info they need (or get Mapzen’s help to do it) and upload it to their own data portals, keeping it free and accessible.
The reason for the shutdown is still elusive:
At this point, the company’s coroner’s report is thin. Meech would not comment on the reason for the shuttering. The company is owned by a Samsung subsidiary focused on research and is funded by the South Korean company’s incubator. We do know that running a mapping company ain’t cheap. While Mapzen’s products are built on openly licensed data from OpenStreetMap, it adds valuable software tools to the mix for those who don’t know how to build their own or don’t have the time. Its tools help developers build aesthetically pleasing maps and equip them with search and routing services, while its staff curates, publishes, and creates data. It’s possible Samsung simply decided it didn’t have the money to compete or that it wasn’t worth the price tag.
The article goes on to point out that, Mapzen’s death notwithstanding, the mapping biz continues to be a hot, albeit expensive, sector. [Tyler Bell]
Yesterday I told you about Mapzen’s announcement that it would be closing down at the end of the month. So it’s bittersweet that I find, in my to-do list of links to post here, a Mapzen project. Morphology is a tool that abstracts the map into an unlabelled set of lines, patterns and forms. The default view combines several different features, but you can isolate single features: airports, roads, parks, bodies of water, and more. The work of Mapzen cartographer Geraldine Sarmiento, it was first presented as a NACIS talk last October. [Atlas Obscura]
Mapzen announced today that they were shutting down at the end of January 2018.
Our hosted APIs and all related support and services will turn off on February 1, 2018. You will not be charged for API usage in December/January. We know this is an inconvenience and have provided a migration guide to similar services for our developer community. Our goal is to help as much as possible to ensure continuity in the services that you have built with us.
Fortunately, the core products of Mapzen are built entirely on open software and data. As a result, there are options to run Mapzen services yourself or to switch to other service providers.
No reason was given for the move.
Justin O’Beirne’s lengthy analyses of Google Maps and Apple Maps are always worth reading,1 and his latest is no exception. Looking at the rapid proliferation of buildings, areas of interest and other examples of Google’s Ground Truthing program, Justin discovers that Google’s buildings data are a product of its satellite imagery, its places of interest are a product of its Street View data, and its areas of interest (the orange-shaded areas that indicate business districts) are the result of combining those stores of data.
…so this makes AOIs a byproduct of byproducts[.]
This is bonkers, isn’t it?
Google is creating data out of data.
This is slightly more than Google’s competitors are able to match. As always, Justin’s analysis is worth reading in full, and comes complete with before/after animations that make his point visually clear.
What happens when a Google Street View car meets its Bing equivalent? The Verge explains: “As it turns out, when two Google Street View and Bing cars pass each other, only one (in this case Google) will admit to it publicly. Like an embarrassed or jilted lover, Microsoft masks the memory of the Google encounter with a giant white rectangle in Bing maps. […] Google however, proudly shows off the Bing car in all its glory.”
Bing Maps is still trucking along, even if Apple and Google take up most of the oxygen in the online mapping space these days. Two weeks ago the Bing Maps team marked the 450th location to receive oblique “Bird’s Eye” imagery. All the cities listed as receiving new oblique imagery are in the United States.
It began in the summer of 2016. Faroe Islander Durita Dahl Andreassen
At 82° north latitude, Quttinirpaaq National Park is on the northernmost tip of Canada’s northernmost island, Ellesmere Island. It takes days to fly there and requires you to hire a charter plane. Fewer than 50 people visit every year. And along with the remote northern communities of Grise Fiord and Resolute Bay, it’s just been added to Google Street View: Parks Canada staff backpacked across the park with the iconic Street View camera. More from CBC News and Google.
Today Esri is proud to announce that we are making our own global collection of satellite imagery available to the OSM community directly through our existing World Imagery Service. This regularly updated resource provides one meter or better satellite and aerial photography in many parts of the world, 15m TerraColor imagery at small and mid-scales (~1:591M down to ~1:72k), 2.5m SPOT Imagery (~1:288k to ~1:72k), 1 meter or better NAIP in the US and many other curated sources, so we know it will make a welcome addition to OSM’s growing catalog of reference layers.
OSM editors have been able to trace maps from satellite imagery for years; other sources of such imagery have included Bing and Yahoo (back when Yahoo Maps was a thing). Different sources have different strengths, so this can only help the project. (Esri’s imagery makes no difference where I am, but that’s not a surprise.)
CBC News reports that more than 3,000 indigenous communities in Canada—traditional First Nations reserves as well as treaty settlement lands and urban reserves—have finally been added to Google Maps. For some reason I thought they already were—U.S. Indian reservations have been on Google Maps for some time, after all (their visibility, or lack thereof, was commented on in 2011: here, here and here).