Visualization and Ontology of Geospatial Intelligence

Yupo Chan
Additional contact information
Yupo Chan: University of Arkansas at Little Rock

Chapter 18 in Data Engineering, 2009, pp 403-429 from Springer

Abstract: Abstract 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.

Keywords: Geographic Information System; Spatial Object; Spatial Weight; Geospatial Data; Bayesian Belief Network (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:isochp:978-1-4419-0176-7_18

Ordering information: This item can be ordered from
http://www.springer.com/9781441901767

DOI: 10.1007/978-1-4419-0176-7_18

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().