Point shapefile of probability of shoreline change along the U.S. Atlantic Coast (ProbSLC_AtlanticData.shp)

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Frequently anticipated questions:

What does this data set describe?

Title:
Point shapefile of probability of shoreline change along the U.S. Atlantic Coast (ProbSLC_AtlanticData.shp)
Abstract:
During the 21st century, sea-level rise will have a wide range of effects on coastal environments, human development and infrastructure in coastal areas. Consequently there is a need to develop modeling or other analytical approaches that can be used to evaluate potential impacts to inform coastal management. This shapefile provides the data that were used to develop and evaluate the performance of a Bayesian network (BN) that was developed to predict long-term shoreline change associated with sea-level rise. The data consist of information compiled as part of the U.S. Geological Survey Coastal Vulnerability Index for the U.S. Atlantic coast. In this work, the Bayesian network is used to define relationships between driving forces, geologic constraints, and coastal response which are represented by observations of local rates of relative sea-level rise, wave height, tide range, geomorphic classification, coastal slope, and shoreline change rate. Using this information, the BN is used to make probabilistic predictions of shoreline retreat in response to different future sea-level rise rates.
  1. How might this data set be cited?
    U.S. Geological Survey, 2011, Point shapefile of probability of shoreline change along the U.S. Atlantic Coast (ProbSLC_AtlanticData.shp): Data Series 601, U.S. Geological Survey, Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center, Woods Hole, MA.

    Online Links:

    This is part of the following larger work.

    Gutierrez, Benjamin T., Plant, Nathaniel G., and Thieler, E. Robert, 2011, A Bayesian Network to predict coastal vulnerability to sea-level rise: data report: Data Series 601, U.S. Geological Survey, Reston, VA.

    Online Links:

  2. What geographic area does the data set cover?
    West_Bounding_Coordinate: -81.462400
    East_Bounding_Coordinate: -66.967000
    North_Bounding_Coordinate: 45.096200
    South_Bounding_Coordinate: 25.686900
  3. What does it look like?
  4. Does the data set describe conditions during a particular time period?
    Calendar_Date: 2011
    Currentness_Reference:
    publication date
  5. What is the general form of this data set?
    Geospatial_Data_Presentation_Form: vector digital data
  6. How does the data set represent geographic features?
    1. How are geographic features stored in the data set?
      This is a Vector data set. It contains the following vector data types (SDTS terminology):
      • Entity point (2378)
    2. What coordinate system is used to represent geographic features?
      Horizontal positions are specified in geographic coordinates, that is, latitude and longitude. Latitudes are given to the nearest 0.000001. Longitudes are given to the nearest 0.000001. Latitude and longitude values are specified in Decimal degrees. The horizontal datum used is North American Datum of 1983.
      The ellipsoid used is Geodetic Reference System 80.
      The semi-major axis of the ellipsoid used is 6378137.000000.
      The flattening of the ellipsoid used is 1/298.257222.
  7. How does the data set describe geographic features?
    ProbSLC_AtlanticData
    Information unavailable from original metadata (Source: Information unavailable from original metadata)
    FID
    Internal feature number. (Source: ESRI) Sequential unique whole numbers that are automatically generated.
    SHAPE
    Feature geometry. (Source: ESRI) Coordinates defining the features.
    ID
    Internal identifier (Source: ESRI) Not available from original metadata
    DLongitude
    Longitude (decimal degrees) (Source: Information unavailable from original metadata)
    Range of values
    Minimum:-81.4624
    Maximum:-66.967
    DLatitude
    Latitude (decimal degrees) (Source: Information unavailable from original metadata)
    Range of values
    Minimum:25.6867
    Maximum:45.0962
    Slope
    Regional Coastal Slope (%) (Source: Thieler and Hammar-Klose (1999) Coastal Vulnerability Index, determined using ETOPO5 and NGDC elevation data)
    Range of values
    Minimum:0.0011
    Maximum:0.3923
    Geom
    Geomorphic Risk (Source: Hammar-Klose and Thieler (2001))
    ValueDefinition
    1Very low risk, rocky cliffed coasts, fjords.
    2Low risk, medium cliffs, indented coasts
    3Moderate risk, low cliffs, glacial drift, alluvial plains
    4High risk, cobble beaches, estuarine and lagoonal coasts
    5Very high risk, barrier beaches, sand beaches, salt marsh, mud flats, deltas, mangroves, coral reefs
    RSLR
    Rate of relative sea-level rise (millimeters per year) (Source: Hammar-Klose and Thieler (2001) per NOAA NOS)
    Range of values
    Minimum:0.9
    Maximum:4.1
    MWH
    Mean Wave Height (meters) (Source: Hammar-Klose and Thieler (2001) per US Army Corps of Enigneers Wave Information Studies)
    Range of values
    Minimum:0
    Maximum:1.6
    TR
    Mean Tidal Range (meters) (Source: Hammar-Klose and Thieler (2001) per. NOAA NOS)
    Range of values
    Minimum:0.09
    Maximum:5.6
    E_Rate
    Shoreline Change Rate (m/yr) (Source: Acquired from Dolan et al (1985; CEIS) and Dolan and Peatross (1992) as assembled by Thieler and Hammar-Klose (1999) and this study.)
    Range of values
    Minimum:-9.2
    Maximum:25.5
    PEros2
    Probability (%) of shoreline change < -2 m/yr (erosion). (Source: This study.)
    Range of values
    Minimum:0.000014
    Maximum:99.999833
    pEros1
    Probability (%) of shoreline change between - 2 and -1 m/yr (erosion). (Source: This study)
    Range of values
    Minimum:0.000014
    Maximum:99.999499
    pStable
    Probability (%) of shoreline change between - 1 and 1 m/yr (stable). (Source: This study.)
    Range of values
    Minimum:0.00001
    Maximum:99.99994
    pAcc1
    Probability (%) of shoreline change between 1 and 2 m/yr (accretion). (Source: This study.)
    Range of values
    Minimum:0.00001
    Maximum:49.999875
    pAcc2
    Probability (%) of shoreline change between > 2 m/yr (accretion). (Source: This Study)
    Range of values
    Minimum:0.00001
    Maximum:99.998999
    Entity_and_Attribute_Overview:
    All calculations for length are in meter units and were based on the UTM zone 19N NAD83 projection. The Excel 2007 spreadsheet included in the WinZip has the same attributes as the shapefile.
    Entity_and_Attribute_Detail_Citation: Information unavailable from original metadata

Who produced the data set?

  1. Who are the originators of the data set? (may include formal authors, digital compilers, and editors)
    • U.S. Geological Survey
  2. Who also contributed to the data set?
    These data were acquired from Hammar-Klose and Thieler (2001; Coastal vulnerability to sea-level rise: a preliminary database for the U.S. Atlantic, Pacific, and Gulf of Mexico coasts, U.S. Geological Survey, Digital Data Series 68). Data from Dolan and Peatross (1992; Data supplement to the U.S. Geological Survey 1:2,000,000-scale map of shoreline erosion and accretion of the mid-Atlantic coast, U.S. Geological Survey Open File Report 92-377, 116 p.) was also included for portions of Delaware and Chesapeake Bays.
  3. To whom should users address questions about the data?
    U.S. Geological Survey
    Attn: Benjamin T. Gutierrez
    384 Woods Hole Road
    Woods Hole, MA
    USA

    508-548-8700 (voice)
    508-457-2310 (FAX)

Why was the data set created?

This dataset consists of information extracted from the Coastal Vulnerability Index (Thieler and Hammar-Klose, 1999; Hammar-Klose and Thieler, 2001) that were used to inform a Bayesian network that was used to calculate the probability of long-term shoreline change associated with sea-level rise. The data included with this report contain both input data values from the Coastal Vulnerability Index and the discrete probability distributions of long-term shoreline change that were calculated using the Bayesian network.

How was the data set created?

  1. From what previous works were the data drawn?
  2. How were the data generated, processed, and modified?
    Date: May-2009 (process 1 of 7)
    Input data from the Coastal Vulnerability Index (CVI) were clipped using ArcMap 9.3 to include only the open ocean-facing shores of the U.S. Atlantic Coast. All ocean-facing segments of the source shapefile that corresponded with the spatial extent of Dolan and others (1985) were highlighted within ArcMap. These data were exported by right-clicking on the file in the table of contents and choosing Data > Export. The selected features were saved to a new polyline shapefile. This process step and all subsequent steps were performed by the same person: Benjamin T. Gutierrez Person who carried out this activity:
    Benjamin T. Gutierrez
    U.S. Geological Survey
    Geologist
    384 Woods Hole Road
    Woods Hole, MA
    USA

    508-548-8700 x2289 (voice)
    508-457-2310 (FAX)
    bgutierrez@usgs.gov
    Date: May-2009 (process 2 of 7)
    The original source data consisted of polyline segments of varying length (~0.5 - 5 km). These were converted to points that reflected the centroid of the original polyline segments using XTools Pro version 7.1 (Build 738), Feature Conversions > polylines to points. The center point was specified as centroid location. The shapefile was then exported as an Excel 2007 file.
    Date: Mar-2010 (process 3 of 7)
    Shoreline change data for the shores of the Chesapeake and Delaware Bays were acquired from Dolan and Peatross (1992) and replaced those included with the original CVI dataset for the same locations.
    Date: Nov-2010 (process 4 of 7)
    Shoreline change probabilities were calculated using a Bayesian network that was designed and implemented using the Netica software package (Norsys). Each input scenario in the data set was evaluated systematically using MATLAB version 7.11 to input each scenario into the Bayeisan Network to then calculate the probability of shoreline change for those specific conditions. The resulting discrete probability distribution was then output and included in an Excel 2007 file alongside the corresponding input data.
    Date: Nov-2010 (process 5 of 7)
    The Excel 2007 file was then imported into ArcMap version 9.3 and converted to a shapefile.
    Date: 02-Oct-2019 (process 6 of 7)
    Edits to the metadata were made to fix any errors that MP v 2.9.50 flagged. This is necessary to enable the metadata to be successfully harvested for various data catalogs. In some cases, this meant adding text "Information unavailable" or "Information unavailable from original metadata" for those required fields that were left blank. Other minor edits were probably performed (title, publisher, publication place, etc.). The metadata date (but not the metadata creator) was edited to reflect the date of these changes. USGS Thesaurus keywords were added, and thesauri with no keywords were deleted. The publication DOI link was added to the online linkage. Person who carried out this activity:
    U.S. Geological Survey
    Attn: VeeAnn A. Cross
    Marine Geologist
    384 Woods Hole Road
    Woods Hole, MA

    508-548-8700 x2251 (voice)
    508-457-2310 (FAX)
    vatnipp@usgs.gov
    Date: 08-Sep-2020 (process 7 of 7)
    Added keywords section with USGS persistent identifier as theme keyword. Person who carried out this activity:
    U.S. Geological Survey
    Attn: VeeAnn A. Cross
    Marine Geologist
    384 Woods Hole Road
    Woods Hole, MA

    508-548-8700 x2251 (voice)
    508-457-2310 (FAX)
    vatnipp@usgs.gov
  3. What similar or related data should the user be aware of?
    Hammar-Klose, Erika, and Thieler, E. Robert, 2001, Coastal Vulnerability to Sea-Level Rise: A preliminary database for the U.S. Atlantic, Pacific and Gulf of Mexico Coasts: Digital Data Series 68, U.S. Geological Survey, Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center, Woods Hole, MA.

    Online Links:

    Gutierrez, Benjamin T., Plant, Nathaniel G., and Thieler, E. Robert, 2011, A Bayesian Network to predict vulnerability to sea-level rise: Journal of Geophysical Research Earth Surface doi:10.1029/2010JF001891, American Geophysical Union, Washington, D.C..

    Online Links:

    Dolan, R., and Peatross, J., 1992, Data supplement to the US Geological Survey 1:2,000,000-scale map of shoreline erosion and accretion of the mid-Atlantic coast.

    Online Links:

How reliable are the data; what problems remain in the data set?

  1. How well have the observations been checked?
    The attributes of this dataset are based on the Digital Data Series by Hammar-Klose and Thieler (2001, Coastal Vulnerability to sea-level rise: a preliminary database for the U.S. Atlantic, Pacific, and Gulf of Mexico coasts, U.S. Geological Survey Digital Data Series 68). Segements of these data have been updated using shoreline change data from Dolan and Peatross (1992, Data supplement to the U.S. Geological Survey 1:2,000,000-scale map of shoreline erosion and accretion of the mid-Atlantic coast, U.S. Geological Survey Open File Report 92-377, 116p.
  2. How accurate are the geographic locations?
  3. How accurate are the heights or depths?
  4. Where are the gaps in the data? What is missing?
    These data were derived from Hammar-Klose and Thieler (2001). The data were edited only to include open ocean-facing coasts of the Atlantic coast and portions of the Delaware and Chesapeake Bays of the United States that corresponded to the spatial extent of shoreline change data provided in Dolan and others (1985, Coastal erosion and accretion, in National Atlas of the United States of America, 1 sheet, U.S. Geological Survey, Reston, Va.) which were part of the source data for the Hammar-Klose and Thieler (2001) data series. Segments of these data have been updated using shoreline change data from Dolan and Peatross (1992).
  5. How consistent are the relationships among the observations, including topology?
    This shapefile consists of point data compiled from mulitple sources. The shoreline change data from Hammar-Klose and Thieler (2001) was replaced along the Chesapeake and Delaware Bays with data from Dolan and Peatross (1992). The source datasets were originally in varying-length polylines and were converted to points (using the centroid of each line) for display and publication purposes.

How can someone get a copy of the data set?

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.
  1. Who distributes the data set? (Distributor 1 of 1)
    U.S. Geological Survey
    384 Woods Hole Road
    Woods Hole, MA
    USA

    508-548-8700 (voice)
    508-457-2310 (FAX)
  2. What's the catalog number I need to order this data set? Downloadable Data
  3. What legal disclaimers am I supposed to read?
    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.
  4. How can I download or order the data?
    • Availability in digital form:
      Data format: This WinZip 9.0 file contains a shapefile of coastal vulnerability data and Bayesian network outputs that depict probabilities of long-term shoreline change due to sea-level rise. These data are also available in Excel 2007 format in the WinZip in format Shapefile (version ArcMap 9.3) Esri polyline shapefile Size: 0.064
      Network links: http://pubs.usgs.gov/ds/601/ProbSLC_AtlanticData.zip
    • Cost to order the data: None

  5. What hardware or software do I need in order to use the data set?
    This zip file contains data available in Environmental Systems Research Institute (ESRI) polyline shapefile format. The user must have ArcGIS or ArcView 3.0 or greater software to read and process the data file. In lieu of ArcView or ArcGIS, the user may utilize another GIS application package capable of importing the data. A free data viewer, ArcExplorer, capable of displaying the data is available from ESRI at www.esri.com.

Who wrote the metadata?

Dates:
Last modified: 08-Sep-2020
Metadata author:
U.S. Geological Survey, Woods Hole Coastal and Marine Science Center, Woods Hole, MA
Attn: Benjamin T. Gutierrez
Geologist
384 Woods Hole Road
Woods Hole, MA
USA

508-548-8700 x2289 (voice)
bgutierrez@usgs.gov
Metadata standard:
FGDC Content Standards for Digital Geospatial Metadata (FGDC-STD-001-1998)
Metadata extensions used:
This page is <https://cmgds.marine.usgs.gov/catalog/whcmsc/data_series/DS-601/ProbSLC_AtlanticData.faq.html>
Generated by mp version 2.9.50 on Tue Sep 21 18:20:13 2021