GEOG 588
Planning GIS for Emergency Management

Reading Assignment

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The readings for this week focus on the final component of emergency management, recovery. You will read a short chapter in your text and two papers that address different approaches for using spatial analysis to understand patterns of recovery after major disasters.

  1. Read: Chapter 7 (pp. 213-230) from Geographic Information Systems (GIS) for Disaster Management
    This chapter deals with the challenge of using GIS to help communities and organizations cope with events having geographically distributed impacts. Such events can range from relatively localized chemical spills affecting a small drainage basin, through major events impacting hundreds of thousands of people and with substantial financial impacts (such as 9/11, the 2011 Japan Earthquake, or Hurricane Sandy).

    THINK ABOUT

    As you read, consider the following: How is use of GIS for recovery likely to differ for different kinds of events? What recovery-related GIS issues does your text not cover that ended up being important in the years subsequent to a disaster like Hurricane Katrina?

  2. Read: Stevenson, J.R, Emrich, C.T., Mitchell, J., and Cutter, S.L. 2010. Using Building Permits to Monitor Disaster Recovery: A Spatio-Temporal Case Study of Coastal Mississippi Following Hurricane Katrina. Cartography and Geographic Information Science 37(1): 57-68.

    RESPOND

    The two journal articles (this one and the one below) I'm having you read this week focus on very different ways of using GIS to explore longer term recovery from different types of disasters. What advantages or disadvantages do you see in both approaches?

  3. Read: Wagner, M.A., Myint, S.W., and Cerveny, R.S. 2012. Geospatial Assessment of Recovery Rates Following a Tornado Disaster. IEEE Transactions on Geoscience and Remote Sensing. 50(11): 4313-4322.

    THINK ABOUT

    This article presents an approach to spatial analysis of recovery efforts that focuses on the use of Remote Sensing technology and analytical methods. How could this approach be augmented by other data sources or methods to enhance its explanatory capability and utility?