Title :
Research on Eco-environmental Data Visualization for Three Gorges Project
Author :
Zhu, Liang ; Wu, Bing-fang ; Zhou, Yue-min ; Ma, Xin-hui ; Yang, Lei-dong
Author_Institution :
Inst. of Remote Sensing Applic., Chinese Acad. of Sci., Beijing, China
Abstract :
Data visualization can represent clearly the data difference and data change trend. It can help scientific researchers find the rules and trends behind the data quickly. In the process of monitoring eco-environment in Three Gorges reservoir area, a large database (>TB) of data has been acquired. How to fully utilize these data to analyze the trend and evaluate the eco-environmental impact of Three Gorges Project (TGP) is the problem that governments and research scientists urge to solve. It is necessary to attach importance to data visualization and data mining. In order to manage and use these data, eco-environmental monitoring information system of Three Gorges Project is developed. The development platform of the information system is VC.net and ArcIMS (WebGIS development platform). The data in magnitude are stored in the large database of Oracle 10 g. The management and use of spatial data are through ArcSDE and Oracle 10 g. Due to that the monitoring network is cross-region, cross-department, multi-subject, multi-hierarchy, it results in the data visualization and analysis is very difficult. The paper introduces the method of data process and storage. It illustrates theme-oriented data visualization and its implementation in the information system. Multi-style innovative theme-objected data representation in eco-environmental data visualization is put forward. The techniques of WebGIS and office Web component (OWC) provide support to the fast development of data visualization modules. The data visualization in the information system has enhanced the efficiency of data analysis and data mining in great degree. Moreover, it provides great help to governments and scientific researchers.
Keywords :
Internet; data visualisation; geographic information systems; very large databases; ArcIMS; ArcSDE; Oracle 10 g; Three Gorges reservoir area; WebGIS development platform; data analysis; data mining; eco-environmental data visualization; geographic information systems; large database; Data analysis; Data mining; Data visualization; Government; Information systems; Management information systems; Monitoring; Project management; Reservoirs; Visual databases; Three Gorges; WebGIS; eco-environment; information system; theme; visualization;
Conference_Titel :
Information Engineering and Electronic Commerce, 2009. IEEC '09. International Symposium on
Conference_Location :
Ternopil
Print_ISBN :
978-0-7695-3686-6
DOI :
10.1109/IEEC.2009.130