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.”
Earlier this year, we shared the first results of this effort with pollution levels throughout the city of Oakland.
We’re just beginning to understand what’s possible with this hyper-local information and today, we’re starting to share some of our findings for the three California regions we’ve mapped: the San Francisco Bay Area, Los Angeles, and California’s Central Valley (the Street View cars drove 100,000 miles, over the course of 4,000 hours to collect this data!) Scientists and air quality specialists can use this information to assist local organizations, governments, and regulators in identifying opportunities to achieve greater air quality improvements and solutions.
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]