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The Everglades Vulnerability Analysis (EVA) is a series of connected, modular Bayesian networks that predict the response of several Everglades indicators of ecosystem health to changes in hydrology, salinity, and the landscape. This release provides the code to update the vegetation module of EVA, validate the updated module, and provides the process and outputs of a sensitivity analysis of the module. Key updates include expanding the number of vegetation classes predicted from 6 to 11 classes, simplifying the inputs to the module, and increasing the number of vegetation observations used to parameterize the network. The validation of the module includes the process to calculate receiver operating characteristic...
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Coastal Mean High Water (MHW) is contoured in intertidal zones open to oceans, behind barrier coasts in bays, lagoons, and estuaries, and sometimes where tidal currents reach upstream (landward) of the embayed foreshore water bodies. In the National Geospatial Program (NGP), surface water hydrography is maintained in the National Hydrography Dataset (NHD) Flowline Network projects Mean High Water level (MHW) as the linear-referenced 1:24,000-scale resolution NHD Coastline (http://nhd.usgs.gov/). NHDCoastline Geomorphology and associated Risk line-event feature classes that rank the relative risk of horizontal erosion on a scale of 1 to 5 (least to most risk, respectively) have been developed using the Hydrography...


    map background search result map search result map Linear-referenced Geomorphology and Relative Vulnerability to Erosion at the 2013 – 2014 conterminous U.S. Atlantic Ocean National Hydrography Dataset Coastline Updates to the Everglades Vulnerability Analysis (EVA) vegetation module Updates to the Everglades Vulnerability Analysis (EVA) vegetation module Linear-referenced Geomorphology and Relative Vulnerability to Erosion at the 2013 – 2014 conterminous U.S. Atlantic Ocean National Hydrography Dataset Coastline