Design and evaluation of a geovisual analytics system for uncovering patterns in spatio-temporal event data |
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| Authors: | Anthony C Robinson Donna J Peuquet Scott Pezanowski Franklin A Hardisty Brian Swedberg |
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| Institution: | 1. Department of Geography, The Pennsylvania State University, University Park, PA, USAarobinson@psu.edu;3. Department of Geography, The Pennsylvania State University, University Park, PA, USA |
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| Abstract: | ABSTRACTIt 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. |
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| Keywords: | Event data geovisualization visual analytics T-pattern temporal analysis sequence analysis usability evaluation |
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