Dynamic visualization of spatially referenced information

  • Authors:
  • Wu Quan;Mao Lin Huang

  • Affiliations:
  • Faculty of Information Technology, University of Technology, Sydney, Australia;Faculty of Information Technology, University of Technology, Sydney, Australia

  • Venue:
  • ISVC'05 Proceedings of the First international conference on Advances in Visual Computing
  • Year:
  • 2005

Quantified Score

Hi-index 0.01

Visualization

Abstract

This paper proposes a dynamic visualization approach that combines the graph metaphor and the spatial metaphor for visualizing and navigating spatially referenced data. It provides users with a “marching” scheme for viewing a series of graphs G1, G2, ... Gn that are related to a spatial map. Moreover, It provides three types of navigation mechanisms. This dynamic visualization can facilitate the processes of spatially referenced data mining.