Geodata, including 3 dimensional geometry, as such can graphically be presented but most of the times the data as such doesn`t meet the presentation criteria. Especially if the dataset has to be presented in combination with other datasets. First all the geodatum, georeference and map projection are crucial but also the role of the geometry. The processing of the geometry and the related attributes may become a crucial step for an adequate presentation. Nowadays the highest precision may be used to define different graphical attributes for different zoom levels. On the other hand geodata visualisation includes also graphical datasets. Such data ensembles, the combination of geodata and graphical data, are the data sources that offer opportunities to other ways of visualisation then the traditional cartographic mapping. Facets: a. Geospatial location (2D) and position (3D) that data refer to b. Degree of detail in data origin (acquisition resolution) and in representation ('map' scale) c. Types of data (e.g. imagery, field measurements, delineated objects)
GI-N2K