Title : 
Research on the Feature and Uncertainty Based Spatio-Temporal Data Model
         
        
            Author : 
Wu, Xiaochun ; Zhang, Zhi ; Hao, XiaoSong ; Su, Zixuan
         
        
            Author_Institution : 
Dept. of Database Applic., Shaanxi Geomatics Center of State Bur. of Surveying & Mapping, Xian, China
         
        
        
        
        
        
            Abstract : 
Now more and more demands to spatio-temporal data and the spatio-temporal data model is key issue of describing and managing the spatio-temporal data. The spatio-temporal data model integrates time and space so it can truly describe the reality. But the objective world still has another characteristic--uncertainty. Only including uncertainty the spatio-temporal data model can completely and truly reflect the world. Based on the feature based spatio-temporal data model and starting with the feature uncertainty, the article gives a logical model of the spatio-temporal data model including uncertainty and provides a logical method to implement the model. This article is an attempt to build a perfect spatio-temporal data model and provides a new idea to research the spatio-temporal data.
         
        
            Keywords : 
data models; geographic information systems; uncertainty handling; GIS; feature based spatio-temporal data model; logical model; uncertainty feature; Application software; Computer science; Data models; Educational institutions; Extraterrestrial phenomena; Geographic Information Systems; Object oriented modeling; Spatial databases; Spatiotemporal phenomena; Uncertainty;
         
        
        
        
            Conference_Titel : 
Intelligent Systems and Applications (ISA), 2010 2nd International Workshop on
         
        
            Conference_Location : 
Wuhan
         
        
            Print_ISBN : 
978-1-4244-5872-1
         
        
            Electronic_ISBN : 
978-1-4244-5874-5
         
        
        
            DOI : 
10.1109/IWISA.2010.5473515