Arun Ganesh talks about making a multilingual map of India: “Hardly anyone in India even knows that OSM can handle regional languages, simply because its not visible anywhere on the map. After some recent interest from the community in making regional language maps for openstreetmap.in, I decided to give this a shot to make a multilingual place map for India using OSM and Mapbox Studio that I have been playing with recently.”
Category: Web Mapping
Fantasy Football and Election Maps
Development Seed’s Anna Scalamonga discusses the work they did on the Washington Post’s live interactive election maps. “Our challenge was to build a real-time data app that engages users and make it easy to track the most important information. Inspired by interactions and visual presentation from fantasy football apps, we designed tools for live election tracking that make it clear when the data is changing and provide contextual information to make these changes understandable.”
Kenneth Field’s Map of Mars
Another online map of Mars, this one titled (Is There) Life on Mars? and produced by Kenneth Field using ArcGIS. On the information pane he says, cryptically, “There’s a hidden element on the map that explains why I really made it. Happy hunting.” [via]
Crowdsourcing Street Photos of Dar es Salaam
Point Google Maps or OpenStreetMap at a city like Dar es Salaam, Tanzania and you’ll get a reasonably good map. What you won’t get is Street View or street-level imagery—or, necessarily, the data that comes from a street-level understanding of the territory. NPR’s Nadia Whitehead looks at a joint project of the World Bank and Mapillary, a company that crowdsources street-level photos, to produce those images. “Volunteers are mounting camera rigs to their tuk tuks—three-wheeled motor-powered vehicles—to snap pictures as they cruise Dar es Salaam’s dirt roads. Others download the Mapillary app on their smartphones and capture images as they walk or hitch rides on motorbikes. In all, more than 260 people have volunteered.” [via]
Every Person in Scotland
Every Person in Scotland Mapped, a dot density map by Heikki Vesanto with a bit of a methodological twist. Rather than randomize the location of population dots within a given postcode, the map “creates a random point within a building shell inside of a postcode area, which is repeated for every person in a postcode. This is in contrast to a simpler process, which does not take into account buildings at all, working simply with postcode areas.” Zoom in and see. [via]
The Facebook Primary
FiveThirtyEight maps the Facebook likes of the U.S. presidential candidates: “If Facebook likes were votes, Bernie Sanders would be on pace to beat Hillary Clinton nationwide by a nearly 3-to-1 margin and Donald Trump to garner more support than Ted Cruz and Marco Rubio combined. Anything seems possible this year, but, still, be careful how you interpret these numbers: Facebook likes are not votes.” They ain’t kidding—Ben Carson?! [via]
Mapping Where Syrian Refugees Have Settled in Canada
More than 25,000 Syrian refugees have now arrived in Canada. To mark that milestone, Canadian newsweekly Maclean’s has created an interactive map showing where those refugees have settled.
BatiParis: Mapping the Age of Paris’s Buildings
Project Ukko
Project Ukko visualizes seasonal wind predictions, i.e., the amount of wind that is forecasted for the upcoming season. It’s the sort of thing the wind generation industry would find useful. But such a prosaic purpose is belied by the breathtaking way in which the data is visualized. [via]
Mapping Refugee Rumours
CBC News: “A German website called Hoax Map is debunking false rumours about refugees throughout Germany and Austria, many of which range from the absurd to the disturbing.” Here’s the link; in German.
Esri’s Solar System Atlas
Esri’s Solar System Atlas collects maps of all the planets, dwarf planets, moons, asteroids and comets that have been visited by spacecraft in one location. (At least the ones with solid surfaces.) Now keep in mind that maps of other objects in the solar system are generally spacecraft imagery stitched together into a mosaic and displayed on a map projection, and this is mostly what is presented here (plus some colourized topographic maps and a few geologic maps). Not many of the maps are labelled, which is a shame: bare imagery isn’t terribly useful. Also, the map tiles load slowly, and zooming out doesn’t always refresh them. But as a concept, I’m all for this. More from Esri’s Matt Artz. [via]
Layers of London
Meanwhile, and speaking of georectified map viewers, a project to create a multi-layered online map of London, with maps from the 17th century onward georectified and available through a single interface, has received development funding from the Heritage Lottery. Work on Layers of London, as it will be called, will begin in May. Londonist, IHR, MOLA.
Georeferenced Historic Maps
The National Library of Scotland has an online map viewer that overlays georeferenced old maps atop a modern web map interface (Bing, I believe). Among my crowd, it’s the various 19th-century Ordnance Survey maps of London that generate the most excitement, though there are plenty of other locales (mostly but not exclusively in the U.K.) and time periods.
World Population Growth
The population of the world from 1 CE/AD through the end of the 21st century (projected) is mapped in this video and interactive map from Population Connection, a group concerned with the carrying capacity of the planet and the environmental impact of overpopulation (they used to be Zero Population Growth back in the day). In each, one dot represents one million people. [via]
Mapping Gentrification
Governing used interactive maps to measure the gentrification of the neighbourhoods of Boston (above) and 49 other cities as part of their report on gentrification in the United States last year. “While it has become much more prevalent, gentrification remains a phenomenon largely confined to select regions, not yet making its way into most urban areas. In the majority of cities reviewed, less than one-fifth of poorer, lower priced neighborhoods experienced gentrification. If all city neighborhoods are considered—including wealthier areas not eligible to gentrify—less than one of every ten tracts gentrified. Cities like Detroit, El Paso and Las Vegas experienced practically no gentrification at all.” [via]