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

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 2011
Title:
ProbSLC_AtlanticData.shp: Point shapefile of probability of shoreline change along the U.S. Atlantic Coast.
Series_Information:
Series_Name: Data Series
Issue_Identification: 601
Publication_Information:
Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA
Publisher: U.S. Geological Survey, Coastal and Marine Geology Program
Online_Linkage: <http://pubs.usgs.gov/ds/601/ProbSLC_AtlanticData.zip>
Geospatial_Data_Presentation_Form: vector digital data
Larger_Work_Citation:
Citation_Information:
Originator: Benjamin T. Gutierrez
Originator: Nathaniel G. Plant
Originator: E. Robert Thieler
Publication_Date: 2011
Title:
A Bayesian Network to predict coastal vulnerability to sea-level rise: data report
Series_Information:
Series_Name: Data Series
Issue_Identification: 601
Publication_Information:
Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA
Publisher: U.S. Geological Survey, Coastal and Marine Geology Program
Online_Linkage: <http://pubs.usgs.gov/ds/601/>
Description:
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.
Purpose:
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.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2011
Currentness_Reference: publication date
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -81.462400
East_Bounding_Coordinate: -66.967000
North_Bounding_Coordinate: 45.096200
South_Bounding_Coordinate: 25.686900
Keywords:
Theme:
Theme_Keyword_Thesaurus: General
Theme_Keyword: Bayesian Network
Theme_Keyword: Coastal Vulnerability
Theme_Keyword: Coastal Vulnerability Index
Theme_Keyword: USGS
Theme_Keyword: CMGP
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: Coastal and Marine Geology Program
Theme_Keyword: Probability
Theme_Keyword: Woods Hole Coastal and Marine Science Center
Theme_Keyword: Coastal Erosion
Theme_Keyword: Shoreline Change
Theme_Keyword: Sea Level Rise
Theme_Keyword: Coastal Hazards
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: oceans
Theme_Keyword: environment
Theme_Keyword: oceans and estuaries
Theme_Keyword: oceans and coastal
Theme_Keyword: geoscientificInformation
Theme:
Theme_Keyword_Thesaurus: National Park Service Theme Category Thesaurus
Place:
Place_Keyword_Thesaurus: General
Place_Keyword: North Carolina
Place_Keyword: Massachusetts
Place_Keyword: Florida
Place_Keyword: Delaware
Place_Keyword: Virginia
Place_Keyword: Maryland
Place_Keyword: Rhode Island
Place_Keyword: New York
Place_Keyword: New Hampshire
Place_Keyword: South Carolina
Place_Keyword: Maine
Place_Keyword: East Coast
Place_Keyword: Georgia
Place_Keyword: Atlantic Coast
Place_Keyword: New Jersey
Place_Keyword: Chesapeake Bay
Place_Keyword: Delaware Bay
Place_Keyword: Long Island
Place_Keyword: Cape Cod
Place:
Place_Keyword_Thesaurus: National Park System Unit Name Thesaurus
Place:
Place_Keyword_Thesaurus: National Park System Unit Code Thesaurus
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.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Benjamin T. Gutierrez
Contact_Address:
Address_Type: mailing and physical address
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Country: USA
Contact_Voice_Telephone: 508-548-8700
Contact_Facsimile_Telephone: 508-457-2310
Cross_Reference:
Citation_Information:
Originator: Erika Hammar-Klose
Originator: E. Robert Thieler
Publication_Date: 2001
Title:
Coastal Vulnerability to Sea-Level Rise: A preliminary database for the U.S. Atlantic, Pacific and Gulf of Mexico Coasts
Series_Information:
Series_Name: Digital Data Series
Issue_Identification: 68
Publication_Information:
Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA
Publisher: U.S. Geological Survey, Coastal and Marine Geology Program
Online_Linkage: <http://pubs.usgs.gov/dds/dds68/>
Geospatial_Data_Presentation_Form: vector digital data
Cross_Reference:
Citation_Information:
Originator: Benjamin T. Gutierrez
Originator: Nathaniel G. Plant
Originator: E. Robert Thieler
Publication_Date: 2011
Title: A Bayesian Network to predict vulnerability to sea-level rise
Series_Information:
Series_Name: Journal of Geophysical Research Earth Surface
Issue_Identification: doi:10.1029/2010JF001891
Publication_Information:
Publication_Place: Washington, D.C.
Publisher: American Geophysical Union
Online_Linkage: <http://www.agu.org/pubs/crossref/2011/2010JF001891.shtml>
Cross_Reference:
Citation_Information:
Originator: Dolan, R.
Originator: Peatross, J.
Publication_Date: 1992
Title:
Data supplement to the US Geological Survey 1:2,000,000-scale map of shoreline erosion and accretion of the mid-Atlantic coast
Edition: 92-377
Online_Linkage: <http://ngmdb.usgs.gov/Prodesc/proddesc_40488.htm>
Geospatial_Data_Presentation_Form: tabular data, printed
Data_Set_Credit:
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.
Native_Data_Set_Environment:
Microsoft Windows XP Version 5.1 (Build 2600) Service Pack 3; ESRI ArcCatalog 9.3.1.1850
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
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.
Logical_Consistency_Report:
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.
Completeness_Report:
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).
Lineage:
Process_Step:
Process_Description:
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
Process_Date: 200905
Process_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Benjamin T. Gutierrez
Contact_Organization: U.S. Geological Survey
Contact_Position: Geologist
Contact_Address:
Address_Type: mailing and physical address
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Country: USA
Contact_Voice_Telephone: 508-548-8700 x2289
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: bgutierrez@usgs.gov
Process_Step:
Process_Description:
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.
Process_Date: 200905
Process_Step:
Process_Description:
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.
Process_Date: 201003
Process_Step:
Process_Description:
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.
Process_Date: 201011
Process_Step:
Process_Description:
The Excel 2007 file was then imported into ArcMap version 9.3 and converted to a shapefile.
Process_Date: 201011
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Vector
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: Entity point
Point_and_Vector_Object_Count: 2378
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Geographic:
Latitude_Resolution: 0.000001
Longitude_Resolution: 0.000001
Geographic_Coordinate_Units: Decimal degrees
Geodetic_Model:
Horizontal_Datum_Name: North American Datum of 1983
Ellipsoid_Name: Geodetic Reference System 80
Semi-major_Axis: 6378137.000000
Denominator_of_Flattening_Ratio: 298.257222
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: ProbSLC_AtlanticData
Attribute:
Attribute_Label: FID
Attribute_Definition: Internal feature number.
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential unique whole numbers that are automatically generated.
Attribute:
Attribute_Label: SHAPE
Attribute_Definition: Feature geometry.
Attribute_Definition_Source: ESRI
Attribute_Domain_Values:
Unrepresentable_Domain: Coordinates defining the features.
Attribute:
Attribute_Label: ID
Attribute_Definition: Internal identifier
Attribute_Definition_Source: ESRI
Attribute:
Attribute_Label: DLongitude
Attribute_Definition: Longitude (decimal degrees)
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -81.4624
Range_Domain_Maximum: -66.967
Attribute:
Attribute_Label: DLatitude
Attribute_Definition: Latitude (decimal degrees)
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 25.6867
Range_Domain_Maximum: 45.0962
Attribute:
Attribute_Label: Slope
Attribute_Definition: Regional Coastal Slope (%)
Attribute_Definition_Source:
Thieler and Hammar-Klose (1999) Coastal Vulnerability Index, determined using ETOPO5 and NGDC elevation data
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.0011
Range_Domain_Maximum: 0.3923
Attribute:
Attribute_Label: Geom
Attribute_Definition: Geomorphic Risk
Attribute_Definition_Source: Hammar-Klose and Thieler (2001)
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 1
Enumerated_Domain_Value_Definition: Very low risk, rocky cliffed coasts, fjords.
Enumerated_Domain_Value_Definition_Source: Thieler and Hammar-Klose (1999)
Enumerated_Domain:
Enumerated_Domain_Value: 2
Enumerated_Domain_Value_Definition: Low risk, medium cliffs, indented coasts
Enumerated_Domain_Value_Definition_Source: Thieler and Hammar-Klose (1999)
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 3
Enumerated_Domain_Value_Definition: Moderate risk, low cliffs, glacial drift, alluvial plains
Enumerated_Domain_Value_Definition_Source: Thieler and Hammar-Klose (1999)
Attribute_Domain_Values:
Enumerated_Domain:
Enumerated_Domain_Value: 4
Enumerated_Domain_Value_Definition: High risk, cobble beaches, estuarine and lagoonal coasts
Enumerated_Domain_Value_Definition_Source: Thieler and Hammar-Klose (1999)
Enumerated_Domain:
Enumerated_Domain_Value: 5
Enumerated_Domain_Value_Definition:
Very high risk, barrier beaches, sand beaches, salt marsh, mud flats, deltas, mangroves, coral reefs
Enumerated_Domain_Value_Definition_Source: Thieler and Hammar-Klose (1999)
Attribute:
Attribute_Label: RSLR
Attribute_Definition: Rate of relative sea-level rise (millimeters per year)
Attribute_Definition_Source: Hammar-Klose and Thieler (2001) per NOAA NOS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.9
Range_Domain_Maximum: 4.1
Attribute:
Attribute_Label: MWH
Attribute_Definition: Mean Wave Height (meters)
Attribute_Definition_Source:
Hammar-Klose and Thieler (2001) per US Army Corps of Enigneers Wave Information Studies
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 1.6
Attribute:
Attribute_Label: TR
Attribute_Definition: Mean Tidal Range (meters)
Attribute_Definition_Source: Hammar-Klose and Thieler (2001) per. NOAA NOS
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.09
Range_Domain_Maximum: 5.6
Attribute:
Attribute_Label: E_Rate
Attribute_Definition: Shoreline Change Rate (m/yr)
Attribute_Definition_Source:
Acquired from Dolan et al (1985; CEIS) and Dolan and Peatross (1992) as assembled by Thieler and Hammar-Klose (1999) and this study.
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: -9.2
Range_Domain_Maximum: 25.5
Attribute:
Attribute_Label: PEros2
Attribute_Definition: Probability (%) of shoreline change < -2 m/yr (erosion).
Attribute_Definition_Source: This study.
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.000014
Range_Domain_Maximum: 99.999833
Attribute:
Attribute_Label: pEros1
Attribute_Definition:
Probability (%) of shoreline change between - 2 and -1 m/yr (erosion).
Attribute_Definition_Source: This study
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.000014
Range_Domain_Maximum: 99.999499
Attribute:
Attribute_Label: pStable
Attribute_Definition:
Probability (%) of shoreline change between - 1 and 1 m/yr (stable).
Attribute_Definition_Source: This study.
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.00001
Range_Domain_Maximum: 99.99994
Attribute:
Attribute_Label: pAcc1
Attribute_Definition:
Probability (%) of shoreline change between 1 and 2 m/yr (accretion).
Attribute_Definition_Source: This study.
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.00001
Range_Domain_Maximum: 49.999875
Attribute:
Attribute_Label: pAcc2
Attribute_Definition:
Probability (%) of shoreline change between > 2 m/yr (accretion).
Attribute_Definition_Source: This Study
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0.00001
Range_Domain_Maximum: 99.998999
Overview_Description:
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.
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Address:
Address_Type: mailing and physical address
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Country: USA
Contact_Voice_Telephone: 508-548-8700
Contact_Facsimile_Telephone: 508-457-2310
Distribution_Liability:
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.
Standard_Order_Process:
Digital_Form:
Digital_Transfer_Information:
Format_Name: WinZip
Transfer_Size: 0.064
Format_Version_Number: 9.0
Format_Specification: ESRI polyline shapefile
Format_Information_Content:
This WinZip 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
File_Decompression_Technique: Use WinZip or pkUnzip
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information:
Network_Address:
Network_Resource_Name: <http://pubs.usgs.gov/ds/601/ProbSLC_AtlanticData.zip>
Access_Instructions: Data may be downloaded via the World Wide Web (WWW).
Fees: None
Resource_Description: Downloadable Data
Technical_Prerequisites:
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.
Metadata_Reference_Information:
Metadata_Date: 20111114
Metadata_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization:
U.S. Geological Survey, Woods Hole Coastal and Marine Science Center, Woods Hole, MA
Contact_Person: Benjamin T. Gutierrez
Contact_Position: Geologist
Contact_Address:
Address_Type: mailing and physical address
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543
Country: USA
Contact_Voice_Telephone: 508-548-8700 x2289
Contact_Electronic_Mail_Address: bgutierrez@usgs.gov
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Extensions:
Online_Linkage: <http://www.esri.com/metadata/esriprof80.html>
Profile_Name: ESRI Metadata Profile
Metadata_Time_Convention: local time
Generated by mp version 2.8.25 on Mon Nov 14 14:08:19 2011