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Online Flood Information System: REST-Based Web Service

Author

Listed:
  • Xiannian Chen

    (West Virginia University, Morgantown, WV, USA)

  • Xinyue Ye

    (Bowling Green State University, Kent, OH, USA)

  • Michael C. Carroll

    (Bowling Green State University, Bowling Green, OH, USA)

  • Yingru Li

    (Auburn University, Auburn, AL, USA)

Abstract

This paper implements a cyber-platform which visualizes and analyzes spatial patterns of flooding with a user-oriented spatial intelligence. The paper is organized from three perspectives: first, why representation and modeling of flooding data set is vital; second, how the design of flooding analysis involves spatial intelligence; third, why flooding analysis should be integrated into Cyber-infrastructure. The flood is one of the most common and devastative disasters. Flood disasters bring huge damages to the affected communities and beyond. Hence, a fast and effective flood information inquiry system is critical to reduce the loss. REST-based Web Service illustrates its great advantages in web map re-rendering, attribute information retrieving, and advanced GIS functions. This research introduces how to use REST-based Web Service to build a user-friendly online flood information inquiry system.

Suggested Citation

  • Xiannian Chen & Xinyue Ye & Michael C. Carroll & Yingru Li, 2014. "Online Flood Information System: REST-Based Web Service," International Journal of Applied Geospatial Research (IJAGR), IGI Global, vol. 5(2), pages 1-10, April.
    • Handle: RePEc:igg:jagr00:v:5:y:2014:i:2:p:1-10
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