A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is
USER GEOLOCATED CONTENT ANALYSIS FOR URBAN STUDIES: INVESTIGATING MOBILITY PERCEPTION AND HUBS USING TWITTER
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
<p><strong>Abstract.</strong> The availability of content constantly generated within theWeb has resulted in an incredibly rich virtual social environment from which it is possible to retrieve almost any sort of information. Since the advent of the social media connection with location-based services, this information has attracted the interest of manifold disciplines connected to the spatial data science. In this context, we introduce the URBAN-GEO BIG DATA (URBAN GEOmatics for Bulkdoi:10.5194/isprs-archives-xlii-4-439-2018 fatcat:cxneoampxbap5d2k4z4sjlyi2m