Spatial Data Models and Data Structures

Yee Leung
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Yee Leung: The Chinese University of Hong Kong

Chapter 7 in Intelligent Spatial Decision Support Systems, 1997, pp 269-331 from Springer

Abstract: Abstract Similar to knowledge representation, data handling is an important function in SDSS. It involves the ways spatial and aspatial information is conceptualized, structured, and implemented in computers. Literature on data models and data structures is voluminous (see for example Brackett, 1987; Decker, 1989; Modell, 1992). Geometric data models and data structures have also been studied in GIS research over the years (see for example Peuquet, 1984; Burrough, 1986; Vaughaneia et al., 1988; Maguire et al., 1991; Laurini and Thompson, 1992). The purpose of this chapter is not to provide an overview of research in data models and data structures in general and GIS in particular. I concentrate instead on the modeling and structuring of geometric and attribute data, especially under uncertainty, in SDSS.

Keywords: Relational Algebra; Spatial Object; Fuzzy Relation; Triangulate Irregular Network; Fuzzy Point (search for similar items in EconPapers)
Date: 1997
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DOI: 10.1007/978-3-642-60714-1_7

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