Visualization and Ontology of Geospatial Intelligence

  • Yupo Chan
Part of the International Series in Operations Research & Management Science book series (ISOR, volume 132)


Recent events have deepened our conviction that many human endeavors are best described in a geospatial context. This is evidenced in the prevalence of location-based services, as afforded by the ubiquitous cell phone usage. It is also manifested by the popularity of such internet engines as Google Earth. As we commute to work, travel on business or pleasure, we make decisions based on the geospatial information provided by such location-based services. When corporations devise their business plans, they also rely heavily on such geospatial data. By definition, local, state and federal governments provide services according to geographic boundaries. One estimate suggests that 85 percent of data contain spatial attributes.


Geographic Information System Spatial Object Spatial Weight Geospatial Data Bayesian Belief Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The authors gratefully acknowledge the contributions of Jim M. Kang, Mariofanna Milanova, Srinivasan Ramaswamy, Shashi Shekhar, and other colleagues toward this research. The authors would also like to express their gratitude toward the referees who offered valuable suggestions for the improvement of this chapter. Obviously, the author alone is responsible for the content of this paper.


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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Yupo Chan
    • 1
  1. 1.Department of Systems EngineeringUniversity of Arkansas at Little RockLittle RockUSA

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