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Computational Modeling of the Jamaica Bay System

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Prospects for Resilience

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Abstract

Computational models are essential tools to support resilience planning for Jamaica Bay, or indeed anywhere (Hawes and Reed, 2006; Pickett et al., 2004; Walker et al., 2002; Gallopin, 2002). Models are simplifications of reality, constructed to highlight the interactions among physical, ecological, and social components of a system. Models connect observations with hypotheses and theories about how physical and social systems work, allowing scientists to articulate and test system understanding against data. Although there are physical and conceptual models, in the early twenty-first century, most models are deployed on computers and are increasingly used in distributed computing environments accessible through the Internet.

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Authors
  1. Eric W. Sanderson
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  2. Philip Orton
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  3. Jordan R. Fischbach
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  4. Debra Knopman
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  5. Hugh Roberts
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  6. William D. Solecki
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  7. Robert Wilson
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Editors and Affiliations

  1. Schofield Street, 75, 10464, Bronx, NY, USA

    Eric W. Sanderson

  2. Department of Geography, Hunter College CUNY, Park Avenue, 695, 10065, New York, NY, USA

    William D. Solecki

  3. Department of Biology, Queens College, CUNY, Carpenter Avenue, 270, 11579, Sea Cliff, NY, USA

    John R. Waldman

  4. The Science and Resilience Institute, Brooklyn College, CUNY, Carroll Street, 335, 11231, Brooklyn, NY, USA

    Adam S. Parris

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© 2016 Eric W. Sanderson, William D. Solecki, John R. Waldman, and Adam S. Parris

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Sanderson, E.W. et al. (2016). Computational Modeling of the Jamaica Bay System. In: Sanderson, E.W., Solecki, W.D., Waldman, J.R., Parris, A.S. (eds) Prospects for Resilience. Island Press, Washington, DC. https://doi.org/10.5822/978-1-61091-734-6_8

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