Storygraph: Telling stories from spatio-temporal data

Ayush Shrestha, Ying Zhu, Ben Miller, Yi Zhao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationAdvances in Visual Computing - 9th International Symposium, ISVC 2013, Proceedings
Pages693-702
Number of pages10
EditionPART 2
DOIs
StatePublished - 2013
Externally publishedYes
Event9th International Symposium on Advances in Visual Computing, ISVC 2013 - Rethymnon, Crete, Greece
Duration: 29 Jul 201331 Jul 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume8034 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Symposium on Advances in Visual Computing, ISVC 2013
Country/TerritoryGreece
CityRethymnon, Crete
Period29/07/1331/07/13

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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