Title
Storygraph: extracting patterns from spatio-temporal data
Abstract
Analysis of spatio-temporal data often involves correlating different events in time and location to uncover relationships between them. It is also desirable to identify different patterns in the data. Visualizing time and space in the same chart is not trivial. Common methods includes plotting the latitude, longitude and time as three dimensions of a 3D chart. Drawbacks of these 3D charts include not being able to scale well due to cluttering, occlusion and difficulty to track time in case of clustered events. In this paper we present a novel 2D visualization technique called Storygraph which provides an integrated view of time and location to address these issues. We also present storylines based on Storygraph which show movement of the actors over time. Lastly, we present case studies to show the applications of Storygraph.
Year
DOI
Venue
2013
10.1145/2501511.2501525
IDEA@KDD
Keywords
Field
DocType
integrated view,spatio-temporal data,present storylines,present case study,different pattern,visualization technique,visualizing time,different event,common method,information visualization
Longitude,Data mining,Information visualization,Visualization,Computer science,Spacetime,Temporal database,Chart,Latitude,Cluttering
Conference
Citations 
PageRank 
References 
7
0.47
26
Authors
4
Name
Order
Citations
PageRank
Ayush Shrestha1131.75
Ben Miller2151.82
Ying Zhu316719.84
Yi Zhao4406.92