Abstract
Data modeling is defined as the process of discretizing spatial variation, but may be confused with issues of data structure, and driven by available software rather than by a concern for accurate representation. We review the alternative data models available in spatial databases, and assess them from the perspective of accurate representation of geographical reality. Extensions are discussed, particularly for three dimensions and time dependence.
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