This paper is an experiment with the combined use of census tract and geo-tagged data harvested from some of the most popular social media (Twitter, Instagram, Flickr, Wikipedia), related to the city of Florence (Italy) for 1 year (2015). The first section illustrate location-based content distribution per census tract; the second section highlight a) the Hot- Spot of social media participation b) the importance of VGI data filtering. The result synthesizes the traditional ‘icons’ of public spaces such as momentary Hot-Spots of social media ‘world of place’ and the use of VGI in the evolution of geospatial data availability in urban environment.
Locating GeoSocial Town: Digital Places and Urban Spaces Across Census Tract and Volunteered Geographic Information in Florence
ANTONELLO ROMANO
2016-01-01
Abstract
This paper is an experiment with the combined use of census tract and geo-tagged data harvested from some of the most popular social media (Twitter, Instagram, Flickr, Wikipedia), related to the city of Florence (Italy) for 1 year (2015). The first section illustrate location-based content distribution per census tract; the second section highlight a) the Hot- Spot of social media participation b) the importance of VGI data filtering. The result synthesizes the traditional ‘icons’ of public spaces such as momentary Hot-Spots of social media ‘world of place’ and the use of VGI in the evolution of geospatial data availability in urban environment.| File | Dimensione | Formato | |
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Locating GeoSocial Town, Digital spaces and Urban places across census tract and VGI in Florence.pdf
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