Advanced Data Driven Visualisation for Geo-spatial Data

Anthony Jones1 and Dan Cornford1

1 School of Engineering and Applied Science, Aston University, Birmingham B4 7ET, UK
d.cornford@aston.ac.uk

Abstract. Most current 3D landscape visualisation systems either use bespoke hardware solutions, or offer a limited amount of interaction and detail when used in realtime mode. We are developing a modular, data driven 3D visualisati on system that can be readily customised to specific requirements. By utilising the latest software engineering methods and bringing a dynamic data driven approach to geo-spatial data visualisation we will deliver an unparalleled level of customisation in near-photo realistic, realtime 3D landscape visualisation. In this paper we show the system framework and describe how this employs data driven techniques. In particular we discuss how data driven approaches are applied to the spatiotemporal manage ment aspect of the application framework, and describe the advantages these convey.

LNCS 3993, pp. 586-592.

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