Abstract
Road networks, roads, and junctions are examples of natural language terms whose semantics can be described by affordances of their physical referents. In order to define affordances in such a way that they can be used for classifying and describing instances in a geographic database, one has to deal with the problems of informational incompleteness and limited definability. In this paper, we propose an affordance-based theory of channel networks, based on the work of Hayes [4], as a means to derive necessary conditions for database representations of road networks. By exploring this example, we show that affordance-based logical definitions are a convenient method to capture essential properties of physical objects usually not present in their database representation, but appropriate to explain and define its structure.
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Scheider, S., Kuhn, W. (2008). Road Networks and Their Incomplete Representation by Network Data Models. In: Cova, T.J., Miller, H.J., Beard, K., Frank, A.U., Goodchild, M.F. (eds) Geographic Information Science. GIScience 2008. Lecture Notes in Computer Science, vol 5266. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87473-7_19
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DOI: https://doi.org/10.1007/978-3-540-87473-7_19
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