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2004

Qualitative Spatial Reasoning Extracting and Reasoning with Spatial Aggregates

9 years 9 months ago
Qualitative Spatial Reasoning Extracting and Reasoning with Spatial Aggregates
Reasoning about spatial data is a key task in many applications, including geographic information systems, meteorological and fluid flow analysis, computer-aided design, and protein structure databases. Such applications often require the identification and manipulation of qualitative spatial representations, for example, to detect whether one "object" will soon occlude another in a digital image, or to efficiently determine relationships between a proposed road and wetland regions in a geographic data set. Qualitative spatial reasoning (QSR) provides representational primitives (a spatial "vocabulary") and inference mechanisms for these tasks. This paper first reviews representative work on QSR for data-poor scenarios, where the goal is to design representations that can answer qualitative queries without much numerical information. It then turns to the data-rich case, where the goal is to derive and manipulate qualitative spatial representations that tly and corr...
Christopher Bailey-Kellogg, Feng Zhao
Added 16 Dec 2010
Updated 16 Dec 2010
Type Journal
Year 2004
Where AIM
Authors Christopher Bailey-Kellogg, Feng Zhao
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