Large volumes of spatio-temporal data are increasingly collected and studied in diverse
domains, including climate science, social sciences, neuroscience, epidemiology …

Focus on movement data has increased as a consequence of the larger availability of such
data due to current GPS, GSM, RFID, and sensors techniques. In parallel, interest in …

In recent years, social media are said to have an impact on the public discourse and
communication in the society. In particular, social media are increasingly used in political …

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 Handbook of Discrete and Computational Geometry is intended as a reference book
fully accessible to nonspecialists as well as specialists, covering all major aspects of both …

Physical distancing, as a measure to contain the spreading of Covid-19, is defining a “new
normal”. Unless belonging to a family, pedestrians in shared spaces are asked to observe a …

The increasing pervasiveness of location-acquisition technologies (GPS, GSM networks,
etc.) is leading to the collection of large spatio-temporal datasets and to the opportunity of …

Many important planning decisions in society and business depend on proper knowledge
and a correct understanding of movement, be it in transportation, logistics, biology, or the life …

An increase in the size of data repositories of spatiotemporal data has opened up new
challenges in the fields of spatiotemporal data analysis and data mining. Foremost among …

Recent improvements in positioning technology make massive moving object data widely
available. One important analysis is to find the moving objects that travel together. Existing …