ABSTRACT
The geographical information on trends and events, especially in the volume, velocity, and variety of social media data is a form of big data on topics and places with spatial and time reference and certainly do attract the interest of research. The concept of ambient geospatial information (AGI) refers to geographical meta-information harvested from content that lay people contribute to online platforms including digital visual, textual, and audio data. Especially social media such as Facebook, Instagram, Twitter, YouTube, Flickr, and others function as AGI data sources. The scientific use of AGI from online platforms is a relatively recent opportunity originating from the advent of the Web 2.0 in the years of 2004 to 2006. The basic principle of mobility analysis on the basis of AGI data is to record or harvest a sequence of geotagged photographs that are taken along a particular timeline in order to reconstruct the path that was taken by the tourist.
