A collaborative analysis tool for visualisation and interaction with spatial data

Tina Manoharan, Hamish Taylor, Paul Gardiner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A collaborative virtual environment system is described that is designed to support location-independent shared analysis of spatial data and urban planning proposals. The system seeks to extend the physical workplace of participants into the virtual environment, while preserving traditional textual and verbal communication and cooperation mechanisms. The systems aim is to improve productivity, quality and achieve more transparency in the planning process. The architecture of the Collaborative Urban Planner or CUP system is described and some experimental results that demonstrate urban development control tasks performed within this environment are presented. An application scenario offers a vision of future urban planning practice using CUP. The scenario also diagrammatically demonstrates virtual settings and scenes that could become everyday meeting places for remote planners, architects or engineers assessing proposals and discussing possible alterations to designs.

Original languageEnglish
Title of host publicationProceedings The 8th International Conference on 3D Web Technology
Pages75-83
Number of pages9
DOIs
Publication statusPublished - 2003
Event8th International Conference on 3D Web Technology - Saint Malo, France
Duration: 9 Mar 200312 Mar 2003

Publication series

NameWeb3D Symposium Proceedings
ISSN (Print)1552-9886

Conference

Conference8th International Conference on 3D Web Technology
CountryFrance
CitySaint Malo
Period9/03/0312/03/03

Keywords

  • Collaborative virtual environment (CVE)
  • Communication
  • Computer-supported cooperative work (CSCW)
  • Data persistence
  • Direct interaction and manipulation
  • Spatial analysis
  • Urban planning
  • Visualization

Fingerprint Dive into the research topics of 'A collaborative analysis tool for visualisation and interaction with spatial data'. Together they form a unique fingerprint.

Cite this