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Present an approach to adaptive streaming of complex three-dimensional GIS data over public networks. In the client-server based architecture, the CityServer3D, both geometrical and texture data describing highly detailed three-dimensional city models is streamed to the client. In order to achieve significant reduction of the huge amount of data, take advantage of LOD concepts and a predictive approach to anticipate user navigation: After estimation of future viewing parameters, the server chooses bandwidth-adequate representations of three-dimensional objects and delivers them to the client. By this means, could ensure that only user-relevant data is sent.