Article,
Assuring logical consistency and semantic accuracy in map generalization
Photogrammetrie - Fernerkundung - Geoinformation (PFG), 2008 (3): 165--173 (2008)
Abstract
In recent years national mapping agencies have increasingly integrated automatic map generalization methods in their production lines. This raises the question of how to assess and assure the quality of mapping products such as digital landscape models. Generalization must not only ensure specified standards for an output scale, but also needs to keep semantics as similar as possible under these given requirements. In order to allow for objective comparisons of different generalization results we introduce a semantic distance measure. We present results that optimize this measure subject to constraints reflecting database specifications and show how this measure can be used to compare the results of different methods, including exact and heuristic approaches.
