GeoDNA - lat/long encoded as string where precision is indicated by string length
geohashes with letters?
GeoDNA - lat/long encoded as string where precision is indicated by string length
geohashes with letters?
Android (green, 150M calls) vs. iPhone (red, 100M calls) reverse geocoding calls, January 2011
via GeoNames Blog
the standalone iphone and android heatmaps are also good
[building=yes]
a searchable and linkable index of every single “way” tagged building=yes in OpenStreetMap
or
a web page for every building in OSM
Where 2.0 2011, Kellen Elliot, “Solving the Brooklyn (or Springfield or San Jose) Problem” (by OreillyMedia)
So how do we get to millimeter accuracy? To find out, we followed up with Liebhold for a video interview. He said the most promising technique is to build model of the world using photographs, some of them geo-coded automatically, and the rest of them mapped using an understanding of where they are by comparing them to other images. So a photograph of vacationers in front of the Golden Gate bridge could be pinpointed in position using the precise angle of the orange arches in the background. Google Goggles is embarking on this very project, building a point cloud reference database using publicly available images like the ones from Flickr, said Liebhold, referencing remarks made by a member of the Goggles team at the recent Where 2.0 conference. (As is Microsoft, with its Photosynth product.) The Google project is scary, said Liebhold. Scary because of the privacy implications, I asked? No, he said, because if Google wants to do this, it will, and it will be hard to compete. Everyone wanting to use the most accurate location data will have to depend on Google.
via GigaOm