Proceedings Paper
Geoscience information integration and visualization research of Shandong province, China based on ArcGIS engine| Format | Member Price | Non-Member Price |
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Paper Abstract
To improve the access efficiency of geoscience data, efficient data model and storage solutions should be used. Geoscience data is usually classified by format or coordinate system in existing storage solutions. When data is large, it is not conducive to search the geographic features. In this study, a geographical information integration system of Shandong province, China was developed based on the technology of ArcGIS Engine, .NET, and SQL Server. It uses Geodatabase spatial data model and ArcSDE to organize and store spatial and attribute data and establishes geoscience database of Shangdong. Seven function modules were designed: map browse, database and subject management, layer control, map query, spatial analysis and map symbolization. The system’s characteristics of can be browsed and managed by geoscience subjects make the system convenient for geographic researchers and decision-making departments to use the data.
Paper Details
Date Published: 8 October 2014
PDF: 6 pages
Proc. SPIE 9221, Remote Sensing and Modeling of Ecosystems for Sustainability XI, 92210P (8 October 2014); doi: 10.1117/12.2058426
Published in SPIE Proceedings Vol. 9221:
Remote Sensing and Modeling of Ecosystems for Sustainability XI
Wei Gao; Ni-Bin Chang; Jinnian Wang, Editor(s)
PDF: 6 pages
Proc. SPIE 9221, Remote Sensing and Modeling of Ecosystems for Sustainability XI, 92210P (8 October 2014); doi: 10.1117/12.2058426
Show Author Affiliations
Mingzhu Xu, Institute of Geographical Sciences and Natural Resources Research (China)
Zhiqiang Gao, Yantai Institute of Coastal Zone Research (China)
Joint Lab. for Environmental Remote Sensing and Data Assimilation, ECNU and CEODE (China)
Colorado State Univ. (United States)
Zhiqiang Gao, Yantai Institute of Coastal Zone Research (China)
Joint Lab. for Environmental Remote Sensing and Data Assimilation, ECNU and CEODE (China)
Colorado State Univ. (United States)
Jicai Ning, Yantai Institute of Coastal Zone Research (China)
Published in SPIE Proceedings Vol. 9221:
Remote Sensing and Modeling of Ecosystems for Sustainability XI
Wei Gao; Ni-Bin Chang; Jinnian Wang, Editor(s)
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