Temporal patterns disclose the universally valid seasons of increased international mobility and the particular character of international travels of different nations. Mobility profiles of different nations were examined based on such characteristics as mobility rate, radius of gyration, diversity of destinations, and inflow-outflow balance. Based on a dataset of almost a billion tweets recorded in 2012, we estimate the volume of international travelers by country of residence. This article analyses geo-located Twitter messages in order to uncover global patterns of human mobility. Pervasive presence of location-sharing services made it possible for researchers to gain an unprecedented access to the direct records of human activity in space and time.

Hawelka, Bartosz Sitko, Izabela Beinat, Euro Sobolevsky, Stanislav Kazakopoulos, Pavlos Ratti, Carlo Geo-located Twitter as proxy for global mobility patterns.

Edward M Mikhail, James S Bethel, and J C McGlone, Introduction to Modern Photogrammetry

Photogrammetry and Remote Sensing Spatial Inf.

Orientation of large stereo satellite image blocks.,' Int. Automatic Geo-location Correction of Satellite Imagery

Free instals Sante PACS Server 3.3.7