Advanced data driven visualisation for geo-spatial data

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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 visualisation 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 management aspect of the application framework, and describe the advantages these convey. © Springer-Verlag Berlin Heidelberg 2006.

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Publication date7 Aug 2006
Publication titleComputational science – ICCS 2006 : 6th International Conference, Reading, UK, May 28-31, 2006. Proceedings, Part III
EditorsVassil N. Alexandrov, Geert Dick van Albada, et al
Place of PublicationBerlin (DE)
PublisherSpringer
Pages586-592
Number of pages7
ISBN (Print)3-540-343830, 978-3-540-34383-7
Original languageEnglish
Event6th International Conference on Computational Science - Reading, United Kingdom

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume3993
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on Computational Science
Abbreviated titleICCS 2006
CountryUnited Kingdom
CityReading
Period28/05/0631/05/06

    Keywords

  • 3D landscape visualisation systems, dynamic data, geo-spatial data visualisation, customisation, spatiotemporal management

DOI

Employable Graduates; Exploitable Research

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