Location Granularity of Images in Flickr

I am using Flickr to investigate the granularity of the position the users attach to their images in relation to where they have been taken. Here an example based on 5543 retrieved images with the tag “barcelona” and granularity 16 (i.e. street level. World level is 1, country is ~3, region ~6, city ~11, and street ~16).

Related to Granularities of User Experience in Ubicomp.

Relation to my thesis: Pet project in the 1-2am shift. Actually, exploring the different levels of location granularity used in the Flickr community could become an example that show where location accuracy is used in a urban space. Next steps, using the descriptions/tags of the images and exploiting GeoIQ.