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GIScience 2018 Workshop on Analysis of Movement Data 2018

August 28, 2018

GIScience 2018 Workshop on

Analysis of Movement Data (AMD’18)

28 August 2018, Melbourne, Australia

download AMD 2018 Call for Paper

Workshop Overview

Scope. The past 10-15 years have seen a dramatic improvement of positioning technologies, leading to massive volumes of tracking data about virtually any object that moves, in a multitude of application domains. Thus, many new methods for these data have been developed, and computational movement analysis (CMA) has evolved as an important stream of research in GIScience. However, many challenges remain, such as integration of trajectories with environmental and context data, integration and analysis of data acquired using different sensing modalities and sensors, scale-adaptive analysis, visualization of movement, integration of analytical and visual methods, modeling and simulation of movement, passing from individual to collective movement, dealing with massive data in human mobility analytics, or linking patterns back to behavioral events and processes.

Objectives. This workshop pursues two aims. First, to provide a platform to discuss recent trends, and review the current state of the art in this domain. And second, to identify the key challenges for future research and (re-)define the research agenda.

Workshop Themes

The focus of the workshop is on the general theme of movement and mobility analytics, including, but not limited to, the following topics:

  • Big mobility data analytics and predictive modeling
  • Making movement analysis context-aware, considering the static and dynamic environment
  • From individuals to collectives: Modeling and analyzing interactions between individuals
  • Integrating different sensors (e.g. different positioning sensors and accelerometer) and sensing models (checkpoint sensing vs continuous GPS tracking)
  • From analysis to modeling: Simulation of movement and mobility
  • Visualization and visual analytics in support of movement analysis
  • From patterns to processes: Bridging the semantic gap
  • Inferring behaviors and motivations underpinning movement
  • Geoprivacy issues and geomasking methods for mobility data


August 28, 2018
Event Category:


Melbourne, Australia + Google Map