Movement data (trajectories of moving agents) are hard to visualize: numerous intersections
and overlapping between trajectories make the display heavily cluttered and illegible. It is …

Continuing advances in modern data acquisition techniques result in rapidly growing
amounts of geo-referenced data about moving objects and in emergence of new data types …

In the past several years, social media (eg, Twitter and Facebook) has experienced a
spectacular rise in popularity and has become a ubiquitous location for discourse, content …

The study of movement is progressing rapidly as a subdiscipline in Geographic Information
Science (GIScience). At the fulcrum of this new research area in GIScience are movement …

Modern positioning and identification technologies enable tracking of almost any type of
moving object. A remarkable amount of new trajectory data is thus available for the analysis …

With widespread availability of low cost GPS devices, it is becoming possible to record data
about the movement of people and objects at a large scale. While these data hide important …

In this work, we present an interactive system for visual analysis of urban traffic congestion
based on GPS trajectories. For these trajectories we develop strategies to extract and derive …

The availability of large amounts of mobility data has stimulated the research in discovering
patterns and understanding regularities. Comparatively, less attention has been paid to the …

Place-oriented analysis of movement data, ie, recorded tracks of moving objects, includes
finding places of interest in which certain types of movement events occur repeatedly and …

Existing studies extensively utilized taxicab trips and individuals' movements captured by
mobile phone usages (referred as" mobile phone movements" hereafter) to understand …