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Spatial Intelligence for Regional Analysis

Author

Listed:
  • Chenfeng Zhang

    (East China University of Science and Technology, Xuhui, Shanghai, China)

  • Shuming Bao

    (University of Michigan, Ann Arbor, MI, USA & East China University of Science and Technology, Xuhui, Shanghai, China)

  • Bing She

    (Wuhan University, Wuchang, Wuhan, China)

  • Xinyan Zhu

    (Wuhan University, Wuchang, Wuhan, China)

  • Xu Zhang

    (Wuhan University, Wuchang, Wuhan, China)

Abstract

With the announcement of open information policy by the Chinese government, there has been lots of development in government statistics, Census data, and GIS data. That information provides rich reference for regional analysis in China. The primary challenges under rapid data growth include how to efficiently integrate those space-time data, provide methodology for different research targets, and promote their applications in different fields. This report will present some recent developments of spatial intelligence technologies for spatial data integration, data analysis, as well as their applications. The report will introduce the newly developed spatial explorer (China Geo-Explorer) as a joint effort by the University of Michigan China Data Center and Wuhan University. It will demonstrate how space-time data of different formats and sources can be integrated, visualized, analyzed and reported in a web based system. Some applications in disaster assessment, environment and health, cultural and religious studies will be discussed for China and global studies.

Suggested Citation

  • Chenfeng Zhang & Shuming Bao & Bing She & Xinyan Zhu & Xu Zhang, 2014. "Spatial Intelligence for Regional Analysis," International Journal of Applied Geospatial Research (IJAGR), IGI Global, vol. 5(2), pages 59-73, April.
    • Handle: RePEc:igg:jagr00:v:5:y:2014:i:2:p:59-73
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