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

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

Research output: Contribution to journalArticle

8 Scopus citations

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

All Science Journal Classification (ASJC) codes

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

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