Paper
16 May 2011 STAT: Spatio-Temporal Analytics Toolkit
Xuan Liu, Songhua Xing, Murali Uppala, Arun Hampapur
Author Affiliations +
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xuan Liu, Songhua Xing, Murali Uppala, and Arun Hampapur "STAT: Spatio-Temporal Analytics Toolkit", Proc. SPIE 8053, Geospatial InfoFusion Systems and Solutions for Defense and Security Applications, 805307 (16 May 2011); https://doi.org/10.1117/12.886677
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Cited by 1 scholarly publication.
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KEYWORDS
Analytics

Visualization

Data modeling

Visual analytics

Geographic information systems

Data integration

Analytical research

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