Short-term shoreline change rates for the Georgia coastal region using the Digital Shoreline Analysis System version 5

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Metadata:

Identification_Information:
Citation:
Citation_Information:
Originator: U.S. Geological Survey
Publication_Date: 20210929
Title:
Short-term shoreline change rates for the Georgia coastal region using the Digital Shoreline Analysis System version 5
Edition: 1.0
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9J3CVN4
Publication_Information:
Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA
Publisher:
U.S. Geological Survey, Coastal and Marine Hazards and Resources Program
Online_Linkage: https://doi.org/10.5066/P9J3CVN4
Online_Linkage: Larger_Work_Citation:
Citation_Information:
Originator: Meredith G. Kratzmann
Originator: Amy S. Farris
Originator: Kathy M. Weber
Originator: Rachel E. Henderson
Originator: Emily A. Himmelstoss
Publication_Date: 2021
Title:
USGS National Shoreline Change: A GIS compilation of Updated Vector Shorelines (1800s - 2010s) and Associated Shoreline Change Data for the Georgia and Florida Coasts
Edition: 1.0
Geospatial_Data_Presentation_Form: vector digital data
Series_Information:
Series_Name: data release
Issue_Identification: DOI:10.5066/P9J3CVN4
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
suggested citation: Kratzmann, M.G., Farris, A.S., Weber, K.M., Henderson, R.E., and Himmelstoss, E.A., 2021, USGS National Shoreline Change: A GIS compilation of Updated Vector Shorelines (1800s - 2010s) and Associated Shoreline Change Data for the Georgia and Florida Coasts: U.S. Geological Survey data release, https://doi.org/10.5066/P9J3CVN4
Online_Linkage: https://doi.org/10.5066/P9J3CVN4
Online_Linkage:
Description:
Abstract:
During Hurricane Irma in September 2017, Florida and Georgia experienced significant impacts to beaches, dunes, barrier islands, and coral reefs. Extensive erosion and coral losses result in increased immediate and long-term hazards to shorelines that include densely populated regions. These hazards put critical infrastructure at risk to future flooding and erosion and may cause economic losses. The USGS Coastal and Marine Hazards Resources Program (CMHRP) is assessing hurricane-induced coastal erosion along the southeast US coastline and implications for vulnerability to future storms.
Purpose:
Shoreline positions were compiled prior to and following Hurricane Irma along the sandy shorelines of the Gulf of Mexico and Atlantic coasts of Florida and the coast of Georgia. Shoreline positions from the mid-1800s through 2018 were used to update the shoreline change rates for Florida and Georgia using the Digital Shoreline Analysis System (DSAS) software. The shoreline positions and updated shoreline change rates provide actionable information to homeowners, coastal communities, and managers of public and private properties to improve resiliency for long-term hazards.
Short-term (~30 years) shoreline change rates for the Georgia (GA) coastal region are included in this dataset. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 5, an ArcGIS extension developed by the U.S. Geological Survey. Short-term rates of shoreline change were calculated using a linear regression rate based on available shoreline data for Georgia. An end point rate was calculated also. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline, establishing measurement points which provide location and time information used to calculate rates of change. This dataset consists of shoreline change rates stored as a new transect layer.
Time_Period_of_Content:
Time_Period_Information:
Single_Date/Time:
Calendar_Date: 2021
Currentness_Reference: publication date
Status:
Progress: Complete
Maintenance_and_Update_Frequency: None planned
Spatial_Domain:
Bounding_Coordinates:
West_Bounding_Coordinate: -81.461035
East_Bounding_Coordinate: -80.840820
North_Bounding_Coordinate: 32.024230
South_Bounding_Coordinate: 30.714825
Keywords:
Theme:
Theme_Keyword_Thesaurus: ISO 19115 Topic Category
Theme_Keyword: oceans
Theme_Keyword: geoscientificInformation
Theme_Keyword: environment
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: Shoreline
Theme_Keyword: Historical Shoreline
Theme_Keyword: Long-term shoreline change rate
Theme_Keyword: Short-term shoreline change rate
Theme_Keyword: Shoreline change rate
Theme_Keyword: Erosion
Theme_Keyword: Accretion
Theme_Keyword: Linear Regression Rate
Theme_Keyword: LRR
Theme_Keyword: End point rate
Theme_Keyword: EPR
Theme_Keyword: Proxy-Datum bias
Theme_Keyword: PDB
Theme_Keyword: Transect
Theme_Keyword: Digital Shoreline Analysis System
Theme_Keyword: DSAS
Theme_Keyword: U.S. Geological Survey
Theme_Keyword: USGS
Theme_Keyword: Coastal and Marine Geology Program
Theme_Keyword: CMGP
Theme_Keyword: Woods Hole Coastal and Marine Science Center
Theme_Keyword: WHCMSC
Theme:
Theme_Keyword_Thesaurus: USGS Thesaurus
Theme_Keyword: geospatial datasets
Theme_Keyword: coastal processes
Theme:
Theme_Keyword_Thesaurus: USGS Metadata Identifier
Theme_Keyword: USGS:614a7d82d34e0df5fb9756fe
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Atlantic Coast
Place_Keyword: Gulf Coast
Place_Keyword: United States
Place_Keyword: North America
Place_Keyword: Georgia
Place_Keyword: Florida
Access_Constraints: None
Use_Constraints:
These data were automatically generated using the DSAS v5 software applications. 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 data are not to be used for navigation.
Point_of_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Meredith G. Kratzmann
Contact_Address:
Address_Type: mailing and physical
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
Contact_Electronic_Mail_Address: mkratzmann@contractor.usgs.gov
Browse_Graphic:
Browse_Graphic_File_Name: Browse_Graphic_File_Description: Map view of data
Browse_Graphic_File_Type: jpg
Native_Data_Set_Environment: Microsoft Windows 10 Enterprise; Esri ArcGIS 10.7.1
Cross_Reference:
Citation_Information:
Originator: Meredith G. Kratzmann
Publication_Date: 2022
Title:
U.S. Geological Survey National Shoreline Change: Summary Statistics for Updated Vector Shorelines (1800s - 2010s) and Associated Shoreline Change Data for the Georgia and Florida Coasts
Series_Information:
Series_Name: Data Report
Issue_Identification: 1156
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details:
Data Report associated with this data release: Kratzmann, M.G., Farris, A.S., Weber, K.M., Henderson, R.E., and Himmelstoss, E.A., 2021, USGS national shoreline change-A GIS compilation of updated vector shorelines (1800s - 2010s) and associated shoreline change data for the Georgia and Florida Coasts: U.S. Geological Survey data release, https://doi.org/10.5066/P9J3CVN4.
Online_Linkage: https://doi.org/10.3133/dr1156
Cross_Reference:
Citation_Information:
Originator: Emily A. Himmelstoss
Originator: Amy S. Farris
Originator: Rachel E. Henderson
Originator: Meredith G. Kratzmann
Originator: Ayhan Ergul
Originator: Ouya Zhang
Originator: Jessica L. Zichichi
Publication_Date: 2018
Title:
Digital Shoreline Analysis System (version 5): U.S. Geological Survey Software
Series_Information:
Series_Name: software release
Issue_Identification: version 5
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Other_Citation_Details: Current version of software at time of use was 5.1
Online_Linkage: https://doi.org/10.5066/P9VW42I0
Online_Linkage: https://code.usgs.gov/cch/dsas/
Online_Linkage:
Cross_Reference:
Citation_Information:
Originator: Emily A. Himmelstoss
Originator: Rachel E. Henderson
Originator: Meredith G. Kratzmann
Originator: Amy S. Farris
Publication_Date: 2018
Title: Digital Shoreline Analysis System (DSAS) Version 5.0 User Guide
Geospatial_Data_Presentation_Form: publication
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2018-1179
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.3133/ofr20181179
Online_Linkage:
Cross_Reference:
Citation_Information:
Originator: Emily Himmelstoss
Originator: Meredith Kratzmann
Originator: E. Robert Thieler
Publication_Date: 2017
Title:
National Assessment of Shoreline Change: A GIS compilation of Updated Vector Shorelines and Associated Shoreline Change Data for the Southeast Atlantic Coast
Series_Information:
Series_Name: Data release
Issue_Identification: doi:10.5066/F74X55X7
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/F74X55X7
Cross_Reference:
Citation_Information:
Originator: Emily Himmelstoss
Originator: Meredith Kratzmann
Originator: E. Robert Thieler
Publication_Date: 2017
Title:
National Assessment of Shoreline Change: A GIS compilation of Updated Vector Shorelines and Associated Shoreline Change Data for the Gulf of Mexico Coast
Series_Information:
Series_Name: Data release
Issue_Identification: doi:10.5066/F78P5XNK
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.5066/F78P5XNK
Cross_Reference:
Citation_Information:
Originator: Emily Himmelstoss
Originator: Meredith Kratzmann
Originator: E. Robert Thieler
Publication_Date: 2017
Title:
National assessment of shoreline change — Summary statistics for updated vector shorelines and associated shoreline change data for the Gulf of Mexico and Southeast Atlantic coasts
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2017-1015
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.3133/ofr20171015
Cross_Reference:
Citation_Information:
Originator: Robert A. Morton
Originator: Tara L. Miller
Publication_Date: 2005
Title:
National Assessment of Shoreline Change: Part 2 Historical Shoreline Changes and Associated Coastal Land Loss along the U.S. Southeast Atlantic Coast
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2005-1401
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.3133/ofr20051401
Cross_Reference:
Citation_Information:
Originator: Tara L. Miller
Originator: Robert A. Morton
Originator: Asbury H. Sallenger
Publication_Date: 2005
Title:
The National Assessment of Shoreline Change: A GIS Compilation of Vector Shorelines and Associated Shoreline Change Data for the U.S. Southeast Atlantic Coast
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2005-1326
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.3133/ofr20051326
Cross_Reference:
Citation_Information:
Originator: Robert A. Morton
Originator: Tara L. Miller
Originator: Laura J. Moore
Publication_Date: 2004
Title:
National Assessment of Shoreline Change: Part 1 Historical Shoreline Changes and Associated Coastal Land Loss along the U.S. Gulf of Mexico
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2004-1043
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.3133/ofr20041043
Cross_Reference:
Citation_Information:
Originator: Tara L. Miller
Originator: Robert A. Morton
Originator: Asbury H. Sallenger
Originator: Laura J. Moore
Publication_Date: 2004
Title:
The National Assessment of Shoreline Change: A GIS Compilation of Vector Shorelines and Associated Shoreline Change Data for the U.S. Gulf of Mexico
Series_Information:
Series_Name: Open-File Report
Issue_Identification: 2004-1089
Publication_Information:
Publication_Place: Reston, VA
Publisher: U.S. Geological Survey
Online_Linkage: https://doi.org/10.3133/ofr20041089
Cross_Reference:
Citation_Information:
Originator: Peter Ruggiero
Originator: Jeffrey H. List
Publication_Date: 200909
Title:
Improving Accuracy and Statistical Reliability of Shoreline Position and Change Rate Estimates
Geospatial_Data_Presentation_Form: publication
Series_Information:
Series_Name: Journal of Coastal Research
Issue_Identification: vol. 255
Publication_Information:
Publication_Place: n/a
Publisher: Coastal Education and Research Foundation
Other_Citation_Details: pp. 1069-1081
Online_Linkage: https://doi.org/10.2112/08-1051.1
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
The attributes of this dataset are based on the field requirements of the Digital Shoreline Analysis System and were automatically generated by the software during the generation of the transect layer or during the calculation of shoreline change rates performed by the software.
Logical_Consistency_Report:
These data were generated using DSAS v5. The transects automatically generated by the software were visually inspected along with the shoreline data prior to rate calculations. Sometimes transect positions were manually edited within a standard ArcMap edit session to adjust the position at which an individual transect intersected the shorelines to better represent an orthogonal position to the general trend of the coast over time.
Completeness_Report:
This dataset contains the transects automatically generated by the DSAS software application that were used to calculate short-term shoreline change rates for the region. Additional transects may have been generated but did not meet the required number of shorelines or time period requirements.
Positional_Accuracy:
Horizontal_Positional_Accuracy:
Horizontal_Positional_Accuracy_Report:
The uncertainty of the linear regression rate is estimated by the elements LR2, LSE and LCI90. See the attribute definition of each for more information.
Lineage:
Process_Step:
Process_Description:
Transect features generated in a personal geodatabase using DSAS v5 for short-term rate calculations. Transects truncate at the landwardmost shoreline intersection.
Short-term rate calculation: Transect features generated in a personal geodatabase using DSAS v5 using selected shoreline data (Year >= 1970) for short-term rate calculations. Short-term transects were cast separately due to the truncation (clipping) process since the end location is likely different when using a selection of the shorelines. Parameters Used: baseline layer=GA_baseline, baseline group field=NULL, baseline=midshore, transect spacing=50 meters, search distance=2000 meters, smoothing distance=900 meters, land direction=left, shoreline intersection=seaward, clip to extent=checked, File produced=GA_transectsST.
For additional details on parameters, please see the DSAS help file distributed with the DSAS software, or visit the USGS website at: https://www.usgs.gov/centers/whcmsc/science/digital-shoreline-analysis-system-dsas
This process step and all other process steps were performed by the same person - Meredith Kratzmann.
Process_Date: 2020
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: Meredith Kratzmann
Contact_Address:
Address_Type: Mailing and Physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543
Contact_Voice_Telephone: 508-548-8700
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: mkratzmann@contractor.usgs.gov
Process_Step:
Process_Description:
Some transects were manually edited or deleted in an edit session using standard editing tools in ArcMap v10.7.
Process_Date: 2020
Process_Step:
Process_Description:
Shoreline intersects and rate calculations performed for short-term rates with and without bias. Parameters Used: shoreline layer=GA_shorelines, shoreline date field=DATE_, shoreline uncertainty field name=Uncy, the default accuracy=5.1 meters, shoreline intersection=seaward, stats calculations=LRR, EPR, shoreline threshold=2, confidence interval=90%. File produced (GA)= GA_transectsST_rates_20201130_160032.
Process_Date: 2020
Process_Step:
Process_Description:
The rate feature classes were exported to shapefiles in ArcMap v10.7 by right-clicking the transect layer > data > export data. File renamed GA_transects_rates_ST.
Process_Date: 2020
Process_Step:
Process_Description:
The exported rate shapefiles were projected in Esri's ArcToolbox (v10.7) > Data Management Tools > Projections and Transformations > Project. Parameters: input projection - UTM zone 17N (WGS84); output projection - geographic coordinates (WGS84); transformation = none.
Process_Date: 2020
Process_Step:
Process_Description:
Updated the cross-reference information with regards to the related Data Report (20220427). The metadata available from a harvester may supersede metadata bundled with the dataset. Compare the metadata dates to determine which metadata file is most recent.
Process_Date: 20220427
Process_Contact:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey
Contact_Person: VeeAnn A. Cross
Contact_Address:
Address_Type: mailing and physical
Address: 384 Woods Hole Road
City: Woods Hole
State_or_Province: MA
Postal_Code: 02543-1598
Country: USA
Contact_Voice_Telephone: (508) 548-8700 x2251
Contact_Facsimile_Telephone: 508-457-2310
Contact_Electronic_Mail_Address: vatnipp@usgs.gov
Spatial_Data_Organization_Information:
Direct_Spatial_Reference_Method: Vector
Point_and_Vector_Object_Information:
SDTS_Terms_Description:
SDTS_Point_and_Vector_Object_Type: String
Point_and_Vector_Object_Count: 2628
Spatial_Reference_Information:
Horizontal_Coordinate_System_Definition:
Geographic:
Latitude_Resolution: 0.0000001
Longitude_Resolution: 0.0000001
Geographic_Coordinate_Units: Decimal degrees
Geodetic_Model:
Horizontal_Datum_Name: WGS_1984
Ellipsoid_Name: WGS_1984
Semi-major_Axis: 6378137.0
Denominator_of_Flattening_Ratio: 298.257223563
Entity_and_Attribute_Information:
Detailed_Description:
Entity_Type:
Entity_Type_Label: GA_transects_rates_ST.shp
Entity_Type_Definition:
Transects were automatically generated by DSAS at a 90 degree angle to the user-specified baseline using a smoothing algorithm to maintain roughly parallel transects that are orthogonal with respect to the baseline. These attributes are for short-term rates in Georgia (GA). Count = 2628.
Entity_Type_Definition_Source: U.S. Geological Survey
Attribute:
Attribute_Label: FID
Attribute_Definition:
Internal feature number used as a unique identifier of an object within a table primarily used in shapefiles.
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: TransectID
Attribute_Definition:
A unique identification number for each transect. Values may not increment sequentially alongshore.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Unrepresentable_Domain:
Sequential unique whole numbers that are automatically generated.
Attribute:
Attribute_Label: BaselineID
Attribute_Definition:
Unique identification number of the baseline segment. If BaselineID=0 no transects will be generated. Used by DSAS to determine transect ordering alongshore if multiple baseline segments exist.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 1
Range_Domain_Maximum: unlimited
Attribute:
Attribute_Label: TransOrder
Attribute_Definition:
Assigned by DSAS based on ordering of transects along the baseline. Used to allow user to sort transect data along the baseline from baseline start to baseline end.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: unlimited
Attribute:
Attribute_Label: Azimuth
Attribute_Definition:
Assigned by DSAS to record the azimuth of the transect measure in degrees clockwise from North. If a transect position has been adjusted during the editing process, the azimuth value in the attribute table is updated automatically.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 360
Attribute_Units_of_Measure: degrees
Attribute:
Attribute_Label: ShrCount
Attribute_Definition:
Number of shorelines used to compute shoreline change metrics. If ShrCount = 2 only an end point rate (EPR) is computed since there are not enough shorelines to compute a linear regression rate (LRR).
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 2
Range_Domain_Maximum: unlimited
Attribute:
Attribute_Label: SHAPE_Leng
Attribute_Definition: Length of feature in meter units (UTM zone 17N, WGS 84)
Attribute_Definition_Source: Esri
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: unlimited
Attribute:
Attribute_Label: EPR
Attribute_Definition:
The end point rate is calculated by dividing the distance of shoreline movement by the time elapsed between two shorelines, the oldest and most recent only. The rate is reported in meters per year with positive values indicating accretion and negative values indicating erosion.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Unrepresentable_Domain:
Decimal values may be positive or negative, which is used to indicate landward (negative) or seaward (positive) direction from baseline origin. Reported in meters per year.
Attribute:
Attribute_Label: NB_EPR
Attribute_Definition:
End point rate-of-change statistic as described in the attribute EPR but without the proxy-datum bias applied. NB=no bias.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Unrepresentable_Domain:
Decimal values may be positive or negative, which is used to indicate landward (negative) or seaward (positive) direction from baseline origin. Reported in meters per year.
Attribute:
Attribute_Label: EPRunc
Attribute_Definition:
Describes the uncertainty of the reported end point rate in meters. The shoreline uncertainties for the two positions used in the end point calculation are each squared, then added together (summation of squares). The square root of the summation of squares is divided by the number of years between the two shorelines. This result is reported as the confidence of the end point rate calculation (EPRunc).
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Unrepresentable_Domain: Positive decimal values in meters.
Attribute:
Attribute_Label: NB_EPRunc
Attribute_Definition:
The uncertainty of the reported end point rate in meters as described in the attribute EPRunc for rates without the proxy-datum bias applied (NB_EPR). NB=no bias.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Unrepresentable_Domain: Positive decimal values in meters.
Attribute:
Attribute_Label: LRR
Attribute_Definition:
A linear regression rate-of-change statistic was calculated by fitting a least-squares regression line to all shoreline points for a particular transect. Any shoreline points that are referenced to HWL were adjusted by the proxy-datum bias distance (meters) along the transect to correct for the offset between proxy-based HWL and datum-based MHW shorelines. The best-fit regression line is placed so that the sum of the squared residuals (determined by squaring the offset distance of each data point from the regression line and adding the squared residuals together) is minimized. The linear regression rate is the slope of the line. The rate is reported in meters per year with positive values indicating accretion and negative values indicating erosion.
For short-term (ST) rates, an LRR value of 9999 in the attribute table means that value is Null. ArcGIS automatically changes Null values to zero values when a feature class is exported from a geodatabase to a shapefile. Zero values were changed to 9999 to clearly identify Null values. This scenario occurs when ShrCount = 2 and only an EPR rate is calculated.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Unrepresentable_Domain:
Decimal values may be positive or negative, which is used to indicate landward (negative) or seaward (positive) direction from baseline origin. Reported in meters per year.
Attribute:
Attribute_Label: NB_LRR
Attribute_Definition:
A linear regression rate-of-change statistic as described in the attribute LRR but without the proxy-datum bias applied. NB=no bias.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Unrepresentable_Domain:
Decimal values may be positive or negative, which is used to indicate landward (negative) or seaward (positive) direction from baseline origin. Reported in meters per year.
Attribute:
Attribute_Label: LR2
Attribute_Definition:
The R-squared statistic, or coefficient of determination, is the proportion of variance in the data that is explained by a regression. It is a dimensionless index that ranges from 1.0 to 0.0 and measures how successfully the best-fit line accounts for variation in the data. The smaller the variability of the residual values around the regression line relative to the overall variability, the better the prediction (and closer the R-squared value is to 1.0).
For short-term (ST) rates, an LR2 value of 9999 in the attribute table means that LR2 is Null. ArcGIS automatically changes Null values to zero values when a feature class is exported from a geodatabase to a shapefile. Zero values were changed to 9999 to clearly identify Null values. This scenario occurs when ShrCount = 2 and only an EPR rate is calculated.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 1
Attribute:
Attribute_Label: NB_LR2
Attribute_Definition:
The R-squared statistic, or coefficient of determination, as described in the attribute LR2 but for NB (no bias) rates.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Range_Domain:
Range_Domain_Minimum: 0
Range_Domain_Maximum: 1
Attribute:
Attribute_Label: LSE
Attribute_Definition:
This quantity is the standard error of the regression, also known as the standard error of the estimate. To calculate it, the distance between each data point and the regression line is calculated. These distances are squared then summed. The sum is divided by the number of data point minus two. The square root is taken of the result.
For short-term (ST) rates, an LSE value of 9999 in the attribute table means that LSE is Null. ArcGIS automatically changes Null values to zero values when a feature class is exported from a geodatabase to a shapefile. Zero values were changed to 9999 to clearly identify Null values. This scenario occurs when ShrCount = 2 and only an EPR rate is calculated.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Unrepresentable_Domain: Positive decimal values in meters.
Attribute:
Attribute_Label: NB_LSE
Attribute_Definition:
The standard error as described in the attribute LSE but for NB (no bias) rates.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Unrepresentable_Domain: Positive decimal values in meters.
Attribute:
Attribute_Label: LCI90
Attribute_Definition:
The standard error of the slope with confidence interval describes the uncertainty of the reported rate. The LRR rates are determined by a best-fit regression line for the shoreline data at each transect. The slope of this line is the reported rate of change (in meters/year). The confidence interval (LCI) is calculated by multiplying the standard error (also called the standard deviation) of the slope by the two-tailed test statistic at the user-specified 90 percent confidence. This value is often reported in conjunction with the slope to describe the confidence of the reported rate. For example: LRR = 1.2 LCI90 = 0.7 could be reported as a rate of 1.2 (+/-) 0.7 meters/year.
For short-term (ST) rates, an LCI90 value of 9999 in the attribute table means that LCI90 is Null. ArcGIS automatically changes Null values to zero values when a feature class is exported from a geodatabase to a shapefile. Zero values were changed to 9999 to clearly identify Null values. This scenario occurs when ShrCount = 2 and only an EPR rate is calculated.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Unrepresentable_Domain: Positive decimal values in meters.
Attribute:
Attribute_Label: NB_LCI90
Attribute_Definition:
The 90 percent confidence interval as described in the attribute LCI90 but for NB (no bias) rates.
Attribute_Definition_Source: U.S. Geological Survey
Attribute_Domain_Values:
Unrepresentable_Domain: Positive decimal values in meters.
Overview_Description:
Entity_and_Attribute_Overview:
The entity and attribute information provided here describes the tabular data associated with short-term (approximately 30 years) shoreline change rates, as well as rates that incorporate the known unidirectional offset between proxy-based high water line features and datum-based mean high water line features (the proxy-datum bias), and rates that did not have the necessary information to correct for this offset (no bias). Please review the individual attribute descriptions for detailed information. All calculations for length are in meter units and were based on the UTM zone 17N WGS 84 projection. This region, Georgia, has two shapefiles describing rates: long-term (LT) and short-term (ST).
Entity_and_Attribute_Detail_Citation: U.S. Geological Survey
Distribution_Information:
Distributor:
Contact_Information:
Contact_Organization_Primary:
Contact_Organization: U.S. Geological Survey - ScienceBase
Contact_Address:
Address_Type: mailing and physical address
Address: Federal Center, Building 810, MS 302
City: Denver
State_or_Province: CO
Postal_Code: 880225
Country: USA
Contact_Voice_Telephone: 1-888-275-8747
Contact_Electronic_Mail_Address: sciencebase@usgs.gov
Resource_Description:
The dataset contains the polyline rates of shoreline change data, (SHP and other shapefile components), browse graphic, and the FGDC CSDGM metadata.
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. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), and have been processed successfully on a computer system at the USGS, no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. The USGS or the U.S. Government shall not be held liable for improper or incorrect use of the data described and/or contained herein. 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: Shapefile
Format_Version_Number: ArcGIS 10.7
Format_Specification: Esri polyline shapefile
Format_Information_Content:
These files (.cpg, .dbf, .prj, .sbn, .sbx, .shp, .html, and .shx) are a collection of files with a common filename prefix and must be downloaded and stored in the same directory. Together they are the components of the shapefile and include FGDC CSDGM-compliant metadata in HTML format.
File_Decompression_Technique: no compression applied
Transfer_Size: 0.25
Digital_Transfer_Option:
Online_Option:
Computer_Contact_Information: Access_Instructions:
The first link is to the USGS publication page, the second link downloads all the data on the landing page, and the third link is to the dataset landing page.
Fees: None
Technical_Prerequisites:
These data are available in a polyline shapefile format. The user must have software to read and process the data components of a shapefile.
Metadata_Reference_Information:
Metadata_Date: 20240319
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Meredith G. Kratzmann
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
Contact_Electronic_Mail_Address: whsc_data_contact@usgs.gov
Contact_Instructions:
The metadata contact email address is a generic address in the event the person is no longer with USGS. (updated on 20240319)
Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata
Metadata_Standard_Version: FGDC-STD-001-1998
Metadata_Time_Convention: local time

This page is <https://cmgds.marine.usgs.gov/catalog/whcmsc/SB_data_release/DR_P9J3CVN4/GA_transects_rates_ST_metadata.html>
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