Visual Analytics ofmovement

Transcription

1 Gennady Andrienko. Natalia Andrienko Peter Bak Daniel Keim Stefan Wrobel Visual Analytics ofmovement ~ Springer

2 Contents 1 Introduction A Single Trajectory Multiple Trajectories of a Single Object Simultaneous Movements of Many Objects What Should Have Been Achieved by These Examples Visual Analytics Structure of The Book References Conceptual Framework Foundations Fundamental Sets: Space, Time, and Objects Space Time Objects Characteristics of Objects, Locations, and Times Basic Types of Spatio-temporal Data Event-Based View of Movement Multi-Perspective View of Movement Spatio-temporal Context Relations Relations of Objects Relations of Locations and Times Movement Data and Context Data Forms and Sources of Movement Data Properties of Movement Data Context Data Example Data Sets Used in the Book Personal Driving Cars in Milan Vessels in the North Sea Public Transport in Helsinki xv

3 XVI Contents A Group Walk of Workshop Participants Trajectories of Flickr and Twitter Users VAST Challenge Tracks ofwild Animals in a National Park Movements of Laboratory Mice Movements of Visitors of Car Races Types of Movement BehavioUfs Types of Movement Analysis Tasks Recap References Transformations of Movement Data Interpolation and Re-sampling Division of Movement Tracks and Trajectories Transformations of Temporal and Spatial References Derivation of New Thematic Attributes Extraction of Spatial Events Extraction of Movement Events from Trajectories Detection of Stop Events Extraction of Spatial Events from Other Data Types Spatial and Temporal Generalization Trajectory Abstraction (Simplification) Spatio-Temporal Aggregation Transformations Between Data Types Recap References Visual Analytics Infrastructure Interactive Visualizations Interactive Filtering Spatial, Temporal, and Attribute Filtering Filtering of Object Classes and Individual Objects Filtering of Trajectory Segments Filtering of Related Object Sets Dynamic Aggregation Recap References Visual Analytics Focusing on Movers Characteristics Spatial Summarization of Trajectories Clustering of Trajectories, Visualization of Positional Attributes Analysis of Multiple Positional Attributes

4 Contents xvii 5.2 Relations Encounters Between Moving Objects Relations in a Group of Movers Relations of Movers to the Environment Recap References Visual Analytics Focusing on Spatial Events Extraction ofcomposite Spatial Events by Clustering, A Distance Function far Spatial Events Selection ofthresholds Scalable Clustering of Events An Example of Scalable Clustering of Spatial Events Characteristics Growth Ring Maps, Flower Diagrams Textual Characteristics of Composite Events Relations Spatio-Temporal Relations Between Events Relations Between Events, Trajectories, and Context Recap References Visual Analytics Focusing on Space, Obtaining Places of Interest from Movement Data Space Tessellation Grouping of Close Locations Event-Based Place Extraction Extraction of Personal Places Characteristics Visualization of Time Series Transformations oftime Series Clustering oftime Series, Time Series Modelling Event Extraction from Time Series Interpretation of Personal PIaces Relations Analysis of Binary Links Between PIaces Relations Between Link Attributes Relations Between Several PIaces Discovery of Frequent Sequences Recap References

5 XVIII Contents 8 Visual Analytics Focusing on Time Characteristics Clustering of Times by Similarity of Spatial Situations Event Extraction from Spatial Situations Relations Recap References Discussion and Outlook Multi-Perspective View of Movement and Task Typology Properties of Movement Data Temporal Properties Spatial Properties Mover Set and Mover Identity Properties Data Collection Properties General Procedures of Movement Analysis Movement in Context Visual Tools for Observation of Relations Computational Enhancement to Observation of Relations Extraction of Relation Occurrences Support of Analytical Reasoning, Movement Behaviours Personal Privacy Future Perspectives Suggested Exercises Conclusion References Glossary Index