Spatio-temporal data dynamic visualization based on temporal tree structure

Huibing Wang; Yaolin Liu; Xinming Tang

doi:10.1117/12.838017

14 October 2009 Spatio-temporal data dynamic visualization based on temporal tree structure

Huibing Wang, Yaolin Liu, Xinming Tang

Proceedings Volume 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining; 74920P (2009) https://doi.org/10.1117/12.838017
Event: International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, 2009, Wuhan, China

Abstract

This paper reviews the characteristics of spatio-temporal data and existing techniques for visualizing them, and then proposes a temporal tree structure which used to record and manipulates spatio-temporal object's predecessors and successors for the data source of dynamic visualization by algorithms of multi-temporal vector data correlation. Then, dynamic visualization methods of geometry shape and thematic were proposed with the support of temporal tree structure and case study were used to verify the methods proposed. The results and conclusion show that our method of dynamic visualization is an effective and generic way to implement dynamic modeling and visualization processes of spatio-temporal objects with various states along time.

Citation Download Citation

Huibing Wang, Yaolin Liu, and Xinming Tang "Spatio-temporal data dynamic visualization based on temporal tree structure", Proc. SPIE 7492, International Symposium on Spatial Analysis, Spatial-Temporal Data Modeling, and Data Mining, 74920P (14 October 2009); https://doi.org/10.1117/12.838017

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available