Paper Info
Title
Visual Analysis of Movement Behavior Using Web Data for Context Enrichment.
Abstract
With increasing use of GPS devices more and more location-based information is accessible. Thus not only more movements of people are tracked but also POI (point of interest) information becomes available in increasing geo-spatial density. To enable analysis of movement behavior, we present an approach to enrich trajectory data with semantic POI information and show how additional insights can be gained. Using a density-based clustering technique we extract 1.215 frequent destinations of ~ 150.000 user movements from a large e-mobility database. We query available context information from Foursquare, a popular location-based social network, to enrich the destinations with semantic background. As GPS measurements can be noisy, often more then one possible destination is found and movement patterns vary over time. Therefore we present highly interactive visualizations that enable an analyst to cope with the inherent geospatial and behavioral uncertainties.
Year
DOI
Venue
2014
10.1109/PacificVis.2014.57
Pacific Visualization Symposium
Keywords
Field
DocType
user movement,gps device,web data,location-based information,popular location-based social network,context enrichment,gps measurement,movement pattern,semantic background,movement behavior,visual analysis,available context information,semantic poi information,uncertainty,social media,visualization,graphical user interfaces,visual analytics,internet,data visualisation,data visualization,semantics,trajectory,global positioning system
Geospatial analysis,Data visualization,Information retrieval,Computer science,Visual analytics,Graphical user interface,Global Positioning System,Point of interest,Cluster analysis,The Internet
Conference
ISSN
Citations 
PageRank 
2165-8765
21
0.68
References 
Authors
21
3
Name
Order
Citations
PageRank
Robert Krueger1282.47
Dennis Thom217810.72
Thomas Ertl34417401.52