Fuzzy Spatial Data Types for Spatial Uncertainty Management in Databases

Source: University of Florida

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Spatial database systems and geographical information systems are currently only able to support geographical applications that deal with crisp spatial objects, that is, objects whose extent, shape, and boundary are precisely determined. Examples are land parcels, school districts, and state territories. However, many new, emerging applications are interested in modeling and processing geographic data that are inherently characterized by spatial vagueness or spatial indeterminacy. This requires novel concepts due to the lack of adequate approaches and systems. In this chapter, the authors focus on an important kind of spatial vagueness called spatial fuzziness.
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Date:Jun 2007