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Proceedings Paper

STAT: Spatio-Temporal Analytics Toolkit
Author(s): Xuan Liu; Songhua Xing; Murali Uppala; Arun Hampapur
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Paper Abstract

Most of the defense and security applications involve various types of spatial temporal data coming from multiple data source layers. How to analyze the large amount of cross layer geospatial temporal data to get actionable insights is an increasingly important challenge to these applications. There are a lot of research work in the area of spatial data model and management, spatial query and spatial data mining. However, applying these technologies to create a cross cutting analytics solutions is very time consuming and challenging. There is lack of framework and mechanism to plug in reusable spatio-temporal analytics assets. In this paper, we discuss a spatio-temporal analytics toolkit that provides a common underlying information fusion infrastructure, and a plug-in mechanism to support reusable cross domain spatiotemporal analytics.

Paper Details

Date Published: 17 May 2011
PDF: 9 pages
Proc. SPIE 8053, Geospatial InfoFusion Systems and Solutions for Defense and Security Applications, 805307 (17 May 2011); doi: 10.1117/12.886677
Show Author Affiliations
Xuan Liu, IBM Thomas J. Watson Research Ctr. (United States)
Songhua Xing, IBM Thomas J. Watson Research Ctr. (United States)
Murali Uppala, IBM Thomas J. Watson Research Ctr. (United States)
Arun Hampapur, IBM Thomas J. Watson Research Ctr. (United States)


Published in SPIE Proceedings Vol. 8053:
Geospatial InfoFusion Systems and Solutions for Defense and Security Applications
Matthew F. Pellechia; Richard Sorensen; Shiloh L. Dockstader; Rudy G. Benz; Bernard V. Brower, Editor(s)

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