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  • Estuarine Back-barrier Shoreline and Sandline Change Model Skill and Predicted Probabilities: Long-term back-barrier shoreline change

    Metadata Updated: August 16, 2020

    The Barrier Island and Estuarine Wetland Physical Change Assessment was created to calibrate and test probability models of barrier island estuarine shoreline (backshore) and beach sandline change for study areas in Virginia, Maryland, and New Jersey. The models examined the influence of hydrologic and physical variables related to long-term and storm-derived overwash and back-barrier shoreline change. Input variables were constructed into a Bayesian Network (BN) using Netica, a computer program created by NORSYS Software Corporation that allows users to work with belief networks and influence diagrams. Each model is tested on its ability to predict changes in long-term and event-driven (i.e., Hurricane Sandy-induced) backshore and sandline change based on learned correlations from the input variables across the domain. Using the input hydrodynamic and geomorphic data, the BN is constrained to produce a prediction of an updated conditional probability of backshore or sandline change at each location. To evaluate the ability of the BN to reproduce the observations used to train the model, the skill, log likelihood ratio and probability predictions were utilized. These data are the probability and skill metrics for the long-term estuarine back-barrier shoreline change model.

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    Dates

    Metadata Date April 21, 2017
    Metadata Created Date August 16, 2020
    Metadata Updated Date August 16, 2020
    Reference Date(s) April 21, 2017 (publication)
    Frequency Of Update notPlanned

    Metadata Source

    Harvested from USGS-Harvest

    Additional Metadata

    Resource Type Dataset
    Metadata Date April 21, 2017
    Metadata Created Date August 16, 2020
    Metadata Updated Date August 16, 2020
    Reference Date(s) April 21, 2017 (publication)
    Responsible Party U.S. Geological Survey Coastal and Marine Science Center (Point of Contact)
    Contact Email
    Access Constraints Use Constraints: The U.S. Geological Survey requests to be acknowledged as originator of the data in future products or derivative research., Access Constraints: None
    Bbox East Long -73.974687
    Bbox North Lat 40.479022
    Bbox South Lat 37.862809
    Bbox West Long -75.382739
    Coupled Resource
    Frequency Of Update notPlanned
    Guid
    Harvest Object Id dc56d2fb-99e8-4c0d-88e4-4883838fb934
    Harvest Source Id 00f54869-3a43-480d-a67c-0ba115f5d739
    Harvest Source Title USGS-Harvest
    Licence This digital publication was prepared by an agency of the United States Government. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, nor shall the act of distribution imply any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof.
    Metadata Language
    Metadata Type geospatial
    Progress completed
    Spatial Data Service Type
    Spatial Reference System
    Spatial Harvester True

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