Methods of Spatial Knowledge Discovery in the Scope of Planning and Development
GeoViz: Linking Geovisualization with Spatial Analysis and Modeling, 10-11 March 2011, Hamburg, Germany
Martin Behnisch and Alfred Ultsch
“Most of the large databases currently available have a strong spatio-temporal component and potentially contain information that might be of value. Cartographic visualizations usually provide information of low dimensional data sets (e.g. distribution, density, correlation, structure or the spatial/temporary change). Data mining in connection with knowledge discovery techniques play an important role for the empirical visualization and examination and of high dimensional spatial data. The increasing discussions about data interoperability require a transparent transfer of spatial semantics (metaphors, abstractions) and a comprehensible syntax (Shekhar 2003). However procedures on the basis of knowledge discovery are currently not exactly scrutinised for a meaningful integration into the regional/urban planning and development process (Demsar, 2006, Behnisch, 2009).”
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