In this paper we investigate the use of games technologies for the research and\nthe development of 3D representations of real environments captured from GIS\ninformation and open source map data. Challenges involved in this area concern the large\ndata-sets to be dealt with. Some existing map data include errors and are not complete,\nwhich makes the generation of realistic and accurate 3D environments problematic. The\ndomain of application of our work is crisis management which requires very accurate GIS\nor map information. We believe the use of creating a 3D virtual environment using real\nmap data whilst correcting and completing the missing data, improves the quality and\nperformance of crisis management decision support system to provide a more natural and\nintuitive interface for crisis managers. Consequently, we present a case study into issues\nrelated to combining multiple large datasets to create an accurate representation of a novel,\nmulti-layered, hybrid real-world maps. The hybrid map generation combines LiDAR,\nOrdnance Survey, and OpenStreetMap data to generate 3D cities spanning 1 km2.\nEvaluation of initial visualised scenes is presented. Initial tests consist of a 1 km2 landscape\nmap containing up to 16 million vertices� and run at an optimal 51.66 frames per-second
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