TY - GEN
T1 - Storygraph
T2 - 9th International Symposium on Advances in Visual Computing, ISVC 2013
AU - Shrestha, Ayush
AU - Zhu, Ying
AU - Miller, Ben
AU - Zhao, Yi
PY - 2013
Y1 - 2013
N2 - A major task of spatio-temporal data analysis is to discover relationships and patterns among spatially and temporally scattered events. A most common analytic method is to plot them on a 3D chart with latitude, longitude and time being the three dimensions. The first drawback of this technique is that it fails to scale well when there are thousands of concentrated events since they suffer from cluttering, occlusion and other limitations of 3D plots. Second, it is hard to track the time component if the events are clustered in a region. To overcome these, we present a novel 2D visualization technique called Storygraph that provides an integrated view of location and time. Based on Storygraph, we also present storylines which show the movement of the characters over time. Finally, we present two case studies to demonstrate the effectiveness of the Storygraph.
AB - A major task of spatio-temporal data analysis is to discover relationships and patterns among spatially and temporally scattered events. A most common analytic method is to plot them on a 3D chart with latitude, longitude and time being the three dimensions. The first drawback of this technique is that it fails to scale well when there are thousands of concentrated events since they suffer from cluttering, occlusion and other limitations of 3D plots. Second, it is hard to track the time component if the events are clustered in a region. To overcome these, we present a novel 2D visualization technique called Storygraph that provides an integrated view of location and time. Based on Storygraph, we also present storylines which show the movement of the characters over time. Finally, we present two case studies to demonstrate the effectiveness of the Storygraph.
UR - http://www.scopus.com/inward/record.url?scp=84888238542&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-41939-3_68
DO - 10.1007/978-3-642-41939-3_68
M3 - Conference contribution
AN - SCOPUS:84888238542
SN - 9783642419386
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 693
EP - 702
BT - Advances in Visual Computing - 9th International Symposium, ISVC 2013, Proceedings
Y2 - 29 July 2013 through 31 July 2013
ER -