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Soils are spatial entities with fuzzy boundaries.
The number of built and natural spatial entities determines abundances.
Therefore, since geometrical points are not extended in space, they fail to be 'real' spatial entities.
The source of the error is the attribution to space of properties that characterize spatial entities.
The spatial entities defined by our procedures embrace both geomorphic and hydrological considerations.
We first present a framework of knowledge representation for categorizing spatial entities with fuzzy boundaries.
Therefore, the symbolisation of spatial entities is a crucial procedure in cartography (Comentz 2002; Tsoulos et al. 2003).
To improve query efficiency, three tables are established corresponding to the point, polyline and polygon spatial entities.
Ecological land classification is a widely practiced activity that partitions space into successively smaller and more homogeneous spatial entities.
Whereas geometry treats spatial entities, analysis continuous variation, number theory integer arithmetic, and combinatorics discrete structures, algebra is equally applicable to all these and other mathematical domains.
Coordinates form a system of fundamental lines in space that enable the determination of the position of points and other spatial entities.
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