Design and evaluation of a geovisual analytics system for uncovering patterns in spatio-temporal event data

Anthony C. Robinson, Donna Jean Peuquet, Scott Pezanowski, Franklin A. Hardisty, Brian Swedberg

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

It remains difficult to develop a clear understanding of geo-located events and their relationships to one another, particularly when it comes to identifying patterns of events in less-structured textual sources, such as news feeds and social media streams. Here we present a geovisualization tool that can leverage computational methods, such as T-pattern analysis, for extracting patterns of interest from event data streams. Our system, STempo, includes coordinated-view geovisualization components designed to support visual exploration and analysis of event data, and patterns extracted from those data, in terms of time, geography, and content. Through a user evaluation, we explore the usability and utility of STempo for understanding patterns of recent political, social, economic, and military events in Syria.

Original languageEnglish (US)
Pages (from-to)216-228
Number of pages13
JournalCartography and Geographic Information Science
Volume44
Issue number3
DOIs
StatePublished - May 4 2017

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Computational methods
Economics
event
evaluation
Syria
social media
social economics
economics
news
Military
Evaluation
geography
analysis

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Management of Technology and Innovation

Cite this

Robinson, Anthony C. ; Peuquet, Donna Jean ; Pezanowski, Scott ; Hardisty, Franklin A. ; Swedberg, Brian. / Design and evaluation of a geovisual analytics system for uncovering patterns in spatio-temporal event data. In: Cartography and Geographic Information Science. 2017 ; Vol. 44, No. 3. pp. 216-228.
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Design and evaluation of a geovisual analytics system for uncovering patterns in spatio-temporal event data. / Robinson, Anthony C.; Peuquet, Donna Jean; Pezanowski, Scott; Hardisty, Franklin A.; Swedberg, Brian.

In: Cartography and Geographic Information Science, Vol. 44, No. 3, 04.05.2017, p. 216-228.

Research output: Contribution to journalArticle

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