home

roomthily

photo 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?

1 year ago

March 11, 2012
photo 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 

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 

1 year ago

October 18, 2011
photo Geohash viewer

Geohash viewer

1 year ago

September 20, 2011
link [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

2 years ago

May 17, 2011
video

Where 2.0 2011, Kellen Elliot, “Solving the Brooklyn (or Springfield or San Jose) Problem” (by OreillyMedia)

link geocodedArt blog

2 years ago

July 30, 2010
photo Dayton, Ohio - streets containing 1-100 (based on TIGER/Line files) in purple.
via Cartogrammar

Dayton, Ohio - streets containing 1-100 (based on TIGER/Line files) in purple.

via Cartogrammar

text

What’s More Accurate Than GPS? Photographs

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