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Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey as the originator of the dataset.
These GIS layers provide the probability of observing a static vs. dynamic coastal response (CR) with respect to predicted sea-level rise for the Northeastern U.S. for the 2020s, 2030s, 2050s and 2080s. These data are based on the following inputs: sea-level rise, vertical land movement rates due to glacial isostatic adjustment, elevation data, and land cover data. The output displays a probability based on binary end members for the forecast year as defined by a probabilistic framework (a Bayesian network). Because the static vs dynamic coastal response is a binary relationship, the dynamic (i.e. landform or landscape change) coastal response can be derived by subtracting the static response from 1 (and vice versa). These data layers primarily show the distribution of likely coastal response types over a large spatial scale and should therefore be used qualitatively (see Horizontal Positional Accuracy Report).
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Equations which previously appeared in this process step (describing Bayes theorem) have been modified to provide more explanatory content specific to our Bayesian network function. The updated equations appear in the Open-File Report cross-reference Lentz and others, 2015, version 2. The modifications to the equations do not change the results, but just provide a bit more detail and specifics on the probabilistic approach being used. Because of special characters and other considerations, please reference the Open-File Report for these equations.
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Are there legal restrictions on access or use of the data?Access_Constraints: None
Use_Constraints:Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey as the originator of the dataset.
Neither the U.S. Government, the Department of the Interior, nor the USGS, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the USGS in the use of these data or related materials. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Data format: | This zip file (.zip) contains the Esri 32-bit floating point binary GRID format raster and accessory info files for each time interval, associated metadata for adjusted land elevation probabilities across the northeast United States, layer files and browse graphic image. in format AIG (version ArcGIS 10.2.1) Size: 240 |
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https://cmgds.marine.usgs.gov/data/whcmsc/data-release/doi-F73J3B0B/data/NE_region_CR.zip https://doi.org/10.5066/F73J3B0B http://woodshole.er.usgs.gov/project-pages/coastal_response/data.html |
These data are available in Environmental Systems Research Institute (Esri) raster format. The user must have software capable of reading an Esri binary grid format. Each individual grid is over 3.1 GB and can be extracted individually from the zip file.