U.S. Geological Survey
20210831
Long-term and short-term shoreline change rates for the Outer Cape Cod, Massachusetts, calculated with and without the proxy-datum bias using the Digital Shoreline Analysis System version 5.1
1
vector digital data
Data release
doi:10.5066/P9YGIYFX
Woods Hole Coastal and Marine Science Center, Woods Hole, MA
U.S. Geological Survey, Coastal and Marine Geology Program
https://doi.org/10.5066/P9YGIYFX
https://www.sciencebase.gov/catalog/item/6108434fd34ef8d70565bff3
Marie K. Bartlett
Rachel E. Henderson
Amy S. Farris
Emily A. Himmelstoss
2021
Massachusetts Shoreline Change Project, 2021 Update: A GIS Compilation of Shoreline Change Rates Calculated Using Digital Shoreline Analysis System Version 5.1, With Supplementary Intersects and Baselines for Massachusetts
1
vector digital data
Data release
doi:10.5066/P9YGIYFX
Reston, VA
U.S. Geological Survey
suggested citation: Bartlett, M.K., Henderson, R. E., Farris, A.S., and Himmelstoss, E.A., 2021, Massachusetts shoreline change project, 2021 update–A GIS compilation of shoreline change rates calculated using Digital Shoreline Analysis System version 5.1, with supplementary intersects and baselines for Massachusetts: U.S. Geological Survey data release. https://doi.org/10.5066/P9YGIYFX
https://www.sciencebase.gov/catalog/item/60ff22dad34e3ccd830d62aa
https://doi.org/10.5066/P9YGIYFX
The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast and support local land-use decisions. Trends of shoreline position over long and short-term timescales provide information to landowners, managers, and potential buyers about possible future impacts to coastal resources and infrastructure. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates along ocean-facing sections of the Massachusetts coast. In 2013 two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic lidar datasets obtained from NOAA's Ocean Service, Coastal Services Center. In 2018, two new mean high water (MHW) shorelines for the Massachusetts coast extracted from lidar data between 2010-2014 were added to the dataset. This 2021 data release includes rates that incorporate one new shoreline extracted from 2018 lidar data collected by the U.S. Army Corps of Engineers (USACE) Joint Airborne Lidar Bathymetry Technical Center of Expertise (JALBTCX), added to the existing database of all historical shorelines (1844-2014), for the North Shore, South Shore, Cape Cod Bay, Outer Cape, Buzzard’s Bay, South Cape, Nantucket, and Martha’s Vineyard. 2018 lidar data did not cover the Boston or Elizabeth Islands regions. Included in this data release is a proxy-datum bias reference line that accounts for the positional difference in a proxy shoreline (like a High Water Line shoreline) and a datum shoreline (like a Mean High Water shoreline. This issue is explained further in Ruggiero and List (2009) and in the process steps of the metadata associated with the rates. This release includes both long-term (~150+ years) and short term (~30 years) rates. Files associated with the long-term rates have "LT"; in their names, files associated with short-term rates have "ST"; in their names.
This dataset describes the long-term (~150+ years) and short-term (~30 years) shoreline change rates for the Outer Cape Cod, MA coastal region. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 5.1, an ArcGIS extension developed by the U.S. Geological Survey. Long-term and short-term rates of shoreline change were calculated using a linear regression rate based on available shoreline data. 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 are then used to calculate rates. This dataset consists of shoreline change rates calculated with DSAS v5.1 and stored as a new transect layer. Original measurement transects are cast by DSAS from the baseline to intersect shoreline vectors, and the intersect data provide location and time information used to calculate rates of change
2021
ground condition of the most recent shoreline these rates are based on
None planned
-70.246281
-69.925850
42.082528
41.5397
ISO 19115 Topic Category
geoscientificInformation
oceans
USGS Thesaurus
geospatial datasets
coastal processes
None
Esri polyline shapefile
Shoreline
Historical Shoreline
Long-term
Short-term
Shoreline Change Rate
Erosion
Accretion
Linear Regression Rate
LRR
Baseline
Transect
Digital Shoreline Analysis System
DSAS
U.S. Geological Survey
USGS
Coastal and Marine Geology Program
CMGP
Woods Hole Coastal and Marine Science Center
WHCMSC
Massachusetts Office of Coastal Zone Management
USGS Metadata Identifier
USGS:6108434fd34ef8d70565bff3
None
Massachusetts
Atlantic Coast
United States
New England
Cape Cod
Outer Cape
None
These data were automatically generated using the DSAS v5.1 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.
Marie K. Bartlett
USGS
Geologist
mailing and physical
384 Woods Hole Rd
Woods Hole
MA
02543-1598
USA
508-548-8700 x2306
508-547-2310
mbartlett@usgs.gov
https://www.sciencebase.gov/catalog/file/get/6108434fd34ef8d70565bff3?name=OuterCape_rates_browse.PNG
Map view of data
PNG
Microsoft Windows 10 Version 6.2 (Build 1909) Esri ArcGIS 10.7.1.11595
E.A. Himmelstoss
A.S. Farris
R.E. Henderson
M.G. Kratzmann
A. Ergul
O. Zhang
J.L. Zichichi
E.R. Thieler
2018
Digital Shoreline Analysis System (version 5): U.S. Geological Survey software
Software release
software
version 5
Reston, VA
U.S. Geological Survey, Coastal and Marine Geology Program
Suggested citation: Himmelstoss, E.A., Farris, A.S., Henderson, R.E., Kratzmann, M.G., Ergul, A., Zhang, O., Zichichi, J.L., and Thieler, E.R., 2018, Digital Shoreline Analysis System (ver. 5.0): U.S. Geological Survey software, https://doi.org/10.5066/P9VW42I0 .
https://code.usgs.gov/cch/dsas/
https://doi.org/10.5066/P9VW42I0
E.A. Himmelstoss
R.E. Henderson
M.G. Kratzmann
A. Farris
2018
Digital Shoreline Analysis System (DSAS) Version 5 User Guide
Open-file report
Open File Report
2018-1179
Woods Hole, MA
U.S. Geological Survey, Coastal and Marine Geology Program
Suggested citation: Himmelstoss, E.A., Henderson, R.E., Kratzmann, M, Farris, A., 2018, DSAS version 5.0 user guide. U.S. Geological Survey report 2018-1179, https://doi.org/10.3133/ofr20181179
https://doi.org/10.3133/ofr20181179
https://www.usgs.gov/centers/whcmsc/science/digital-shoreline-analysis-system-dsas
E.R. Thieler
T.I. Smith
Julia Knisel
D.W. Sampson
2013
Massachusetts Shoreline Change Mapping and Analysis Project, 2012 Update
publication
Open-File Report
2012-1189
Reston, VA
U.S. Geological Survey
http://pubs.usgs.gov/of/2012/1189/
Emily A. Himmelstoss
Amy S. Farris
Kathryn M. Weber
2018
Massachusetts Shoreline Change Project: A GIS Compilation of Vector Shorelines for the 2018 update
publication
Data Release
DOI:10.5066/P9O7S72B
Reston, VA
U.S. Geological Survey
https://doi.org/10.5066/P9O7S72B
https://www.sciencebase.gov/catalog/item/5bcde5dce4b0f0758fc178d0
https://www.sciencebase.gov/catalog/file/get/5bcde5dce4b0f0758fc178d0
Peter Ruggiero
Jeffrey H. List
200909
Improving Accuracy and Statistical Reliability of Shoreline Position and Change Rate Estimates
publication
Journal of Coastal Research
vol. 255
n/a
Coastal Education and Research Foundation
https://doi.org/10.2112/08-1051.1
Emily A. Himmelstoss
Amy S. Farris
Kathryn M. Weber
2019
Massachusetts Shoreline Change Project, 2018 Update: A GIS Compilation of Shoreline Change Rates Calculated Using Digital Shoreline Analysis System Version 5.0, With Supplementary Intersects and Baselines for Massachusetts
1
publication
Data release
DOI:10.5066/P9RRBEYK
https://doi.org/10.5066/P9RRBEYK.
https://www.sciencebase.gov/catalog/item/5c657589e4b0fe48cb38fc74
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.
These data were generated using DSAS v5.1. 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.
This dataset contains the transects automatically generated by the DSAS software application that were used to calculate shoreline change rates for the region. Additional transects may have been generated but did not intersect the minimum requirement of three shorelines. Shoreline change rates data are provided where there are available shorelines to compute change metrics.
The uncertainty of the linear regression rate is estimated by the elements LR2, LSE and LCI90_0. See the attribute definition of each for more information.
Marie K. Bartlett
Amy S. Farris
Kathryn M. Weber
Emily A. Himmelstoss
2021
Massachusetts Shoreline Change Project: A GIS Compilation of Vector Shorelines (1844-2018)
1
vector digital data
data release
doi:10.5066/P9O8QA8N
Reston, VA
U.S. Geological Survey
Suggested citation: Bartlett, M.K., Farris, A.S., and Weber, K.M., Himmelstoss, E.A., 2021, Massachusetts shoreline change project—A GIS compilation of vector shorelines (1844-2018): U.S. Geological Survey data release
https://doi.org/10.5066/P9O8QA8N
https://www.sciencebase.gov/catalog/item/60ff09abd34e3ccd830d5dac
vector digital data
1844
2018
ground condition
MA 1844 - 2018 Shorelines
Shorelines published as part of the Massachusetts Shoreline Change Project, 2021 Update were compiled for shoreline change analysis with DSAS v5.1
Marie K. Bartlett
Rachel E. Henderson
Amy S. Farris
Emily A. Himmelstoss
2021
Baseline for the eastern facing Outer Cape Cod, Massachusetts, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1
1
vector digital data
data release product
doi:10.5066/P9YGIYFX
Reston, VA
U.S. Geological Survey
https://doi.org/10.5066/P9YGIYFX
https://www.sciencebase.gov/catalog/item/6108301fd34ef8d70565bd00
vector digital data
2021
ground condition
OuterCapeE_baseline
Baseline files for region published as part of the Massachusetts Shoreline Change Project, 2021 Update used for shoreline change analysis with DSAS v5.1
Marie K. Bartlett
Rachel E. Henderson
Amy S. Farris
Emily A. Himmelstoss
2021
Baseline for the western facing Outer Cape Cod, Massachusetts, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1
1
vector digital data
data release product
doi:10.5066/P9YGIYFX
Reston, VA
U.S. Geological Survey
https://doi.org/10.5066/P9YGIYFX
https://www.sciencebase.gov/catalog/item/610832dfd34ef8d70565bf42
vector digital data
2021
ground condition
OuterCapeW_baseline
Baseline files for region published as part of the Massachusetts Shoreline Change Project, 2021 Update used for shoreline change analysis with DSAS v5.1
Marie K. Bartlett
Rachel E. Henderson
Amy S. Farris
Emily A. Himmelstoss
2021
Baseline for the headland region of the Outer Cape Cod, Massachusetts, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1
1
vector digital data
data release product
doi:10.5066/P9YGIYFX
Reston, VA
U.S. Geological Survey
https://doi.org/10.5066/P9YGIYFX
https://www.sciencebase.gov/catalog/item/610832dfd34ef8d70565bf42
vector digital data
2021
ground condition
OuterCapeH_baseline
Baseline files for region published as part of the Massachusetts Shoreline Change Project, 2021 Update used for shoreline change analysis with DSAS v5.1
Explanation of the methods used to calculate shoreline change rates as part of the 2021 update for the Massachusetts Office of Coastal Zone Management Shoreline Change Project: This data release consists of rate transect files that hold long- and short-term rates of shoreline change. Depending on the available data, the shorelines used for analysis may include those referenced to mean high water (MHW) or a proxy-based high water line (HWL).Transects with both MHW and HWL shorelines will have the proxy-datum bias applied. Shoreline data from the 2021 data release (historical and 2018), were merged into a single feature class (MA_shorelines_LT) for the long-term shoreline change. Form this completed shoreline compilation - shoreline data were extracted for the last 30 years and merged into a feature class (MA_shorelines_ST) to calculate short-term shoreline change. All files were projected to UTM zone 19N coordinates and confirmed to have the same attribute names needed for use in DSAS. Note the range of shoreline dates will vary by location. Please check the corresponding intersect file for a record of the exact dates used.
This process step and all subsequent process steps were performed by the same person: Marie K. Bartlett
MA 1844 - 2018 Shorelines
2020
MA_shorelines_LT
MA_shorelines_ST
Marie K. Bartlett
U.S. Geological Survey
Geologist
mailing and physical
384 Woods Hole Road
Woods Hole
MA
02543
USA
508-548-8700 x2306
mbartlett@usgs.gov
Transect features generated in a personal geodatabase using DSAS v5.1.2020.0720.0030. Parameters Used: baseline layer= OuterCapeE_baseline, baseline group field=DSAS_group, transect spacing=50 meters, search distance=200 meters, land direction=right, shoreline intersection=seaward, File produced = OuterCapeE_transects_LT. For additional details on these 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. Some transects were manually edited for length, moved, or deleted in an edit session using standard editing tools in ArcMap v10.7.1
MA_shorelines_LT
OuterCapeE_baseline
2021
OuterCapeE_transects_LT
Shoreline intersects and rate calculations performed for long-term rates with and without bias. Parameters Used: shoreline layer= MA_shorelines_LT, shoreline date field=Date_, shoreline uncertainty field name=Uncy, the default accuracy=10 meters, shoreline intersection=seaward, stats calculations=[SCE, NSM, LRR], shoreline threshold=3, confidence interval=90%. Files produced = OuterCapeE_trans_LT_rates_20210615_142748, OuterCapeE_LT_rates_20210615_142748.
NOTE: All shorelines have an uncertainty value listed in the attribute table that provides the horizontal uncertainty associated with the shoreline, regardless of the method used. The shoreline database contains both MHW and HWL shorelines Therefore a proxy-datum bias (PDB), stored as a line feature class appended to the reference baseline, is applied during rate calculation. For more information about the origin of the proxy-datum bias, see Ruggiero and List (2009). Rate statistics are presented with both the PDB applied, and with the bias omitted, in which case the attribute field will show “NB_” or “No bias”. The bias uncertainty values are stored within the bias feature attribute table.
MA_shorelines_LT
OuterCapeE_transects_LT
2021
OuterCapeE_trans_rates_LT
OuterCapeE_intersects_LT
Transect features generated in a personal geodatabase using DSAS v5.1.2020.0720.0030. Parameters Used: baseline layer= OuterCapeE_baseline, baseline group field=DSAS_group, transect spacing=50 meters, search distance=200 meters, land direction=right, shoreline intersection=seaward, File produced = OuterCapeE_transects_ST. For additional details on these 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 Some transects were manually edited for length, moved, or deleted in an edit session using standard editing tools in ArcMap v10.7.1
MA_shorelines_ST
OuterCapeE_baseline
2021
OuterCapeE_transects_ST
Shoreline intersects and rate calculations performed for long-term rates with and without bias. Parameters Used: shoreline layer= MA_shorelines_ST, shoreline date field=Date_, shoreline uncertainty field name=Uncy, the default accuracy=5.1 meters, shoreline intersection=seaward, stats calculations=[SCE, NSM, EPR LRR], shoreline threshold=2, confidence interval=90%. Files produced = OuterCapeE_trans_ST_rates_20210615_145545, OuterCapeE_trans_ST_intersect_20210615_145545. NOTE: All shorelines have an uncertainty value listed in the attribute table that provides the horizontal uncertainty associated with the shoreline, regardless of the method used. The shoreline database contains both MHW and HWL shorelines thus a proxy-datum bias (PDB), stored as a line feature class appended to the reference baseline, is applied during rate calculation. For more information about the origin of the proxy-datum bias, see Ruggiero and List (2009). Rate statistics are presented with both the PDB applied, and with the bias omitted, in which case the attribute field will show “NB_” or “No bias”. The bias uncertainty values are stored within the bias feature attribute table.
MA_shorelines_ST
OuterCapeE_transects_ST
2021
OuterCapeE_trans_rates_ST
OuterCapeE_intersects_ST
Transect features generated in a personal geodatabase using DSAS v5.1.2020.0720.0030. Parameters Used: baseline layer= OuterCapeW_baseline, baseline group field=DSAS_group, transect spacing=50 meters, search distance=200 meters, land direction=right, shoreline intersection=seaward, File produced = OuterCapeW_trans_LT. For additional details on these 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. Some transects were manually edited for length, moved, or deleted in an edit session using standard editing tools in ArcMap v10.7.1
MA_shorelines_LT
OuterCapeW_baseline
2021
OuterCapeW_transects_LT
Shoreline intersects and rate calculations performed for long-term rates with and without bias. Parameters Used: shoreline layer= MA_shorelines_LT, shoreline date field=Date_, shoreline uncertainty field name=Uncy, the default accuracy=10 meters, shoreline intersection=seaward, stats calculations=[SCE, NSM, LRR], shoreline threshold=3, confidence interval=90%. Files produced = OuterCapeW_trans_LT_rates_20210405_154826, OuterCapeW_trans_LT_intersect_20210405_154826.
NOTE: All shorelines have an uncertainty value listed in the attribute table that provides the horizontal uncertainty associated with the shoreline, regardless of the method used. The shoreline database contains both MHW and HWL shorelines Therefore a proxy-datum bias (PDB), stored as a line feature class appended to the reference baseline, is applied during rate calculation. For more information about the origin of the proxy-datum bias, see Ruggiero and List (2009). Rate statistics are presented with both the PDB applied, and with the bias omitted, in which case the attribute field will show “NB_” or “No bias”. The bias uncertainty values are stored within the bias feature attribute table.
MA_shorelines_LT
OuterCapeW_transects_LT
2021
OuterCapeW_trans_rates_LT
OuterCapeW_intersects_LT
Transect features generated in a personal geodatabase using DSAS v5.1.2020.0720.0030. Parameters Used: baseline layer= OuterCapeW_baseline, baseline group field=DSAS_group, transect spacing=50 meters, search distance=200 meters, land direction=right, shoreline intersection=seaward, File produced = OuterCapeW_trans_ST. For additional details on these 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 Some transects were manually edited for length, moved, or deleted in an edit session using standard editing tools in ArcMap v10.7.1
MA_shorelines_ST
OuterCapeW_baseline
2021
OuterCapeW_transects_ST
Shoreline intersects and rate calculations performed for long-term rates with and without bias. Parameters Used: shoreline layer= MA_shorelines_ST, shoreline date field=Date_, shoreline uncertainty field name=Uncy, the default accuracy=5.1 meters, shoreline intersection=seaward, stats calculations=[SCE, NSM, EPR LRR], shoreline threshold=2, confidence interval=90%. Files produced = OuterCapeW_trans_ST_rates_20210406_085740, OuterCapeW_trans_ST_intersect_20210406_085740.
NOTE: All shorelines have an uncertainty value listed in the attribute table that provides the horizontal uncertainty associated with the shoreline, regardless of the method used. The shoreline database contains both MHW and HWL shorelines Therefore a proxy-datum bias (PDB), stored as a line feature class appended to the reference baseline, is applied during rate calculation. For more information about the origin of the proxy-datum bias, see Ruggiero and List (2009). Rate statistics are presented with both the PDB applied, and with the bias omitted, in which case the attribute field will show “NB_” or “No bias”. The bias uncertainty values are stored within the bias feature attribute table.
MA_shorelines_LT
OuterCapeW_transects_ST
2021
OuterCapeW_trans_rates_ST
OuterCapeW_intersects_ST
Transect features generated in a personal geodatabase using DSAS v5.1.2020.0720.0030. Parameters Used: baseline layer= OuterCapeH_baseline, baseline group field=DSAS_group, transect spacing=50 meters, search distance=200 meters, land direction=left, shoreline intersection=seaward, File produced = OuterCapeH_trans_LT. For additional details on these 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. Some transects were manually edited for length, moved, or deleted in an edit session using standard editing tools in ArcMap v10.7.1
MA_shorelines_LT
OuterCapeH_baseline
2021
OuterCapeH_transects_LT
Shoreline intersects and rate calculations performed for long-term rates with and without bias. Parameters Used: shoreline layer= MA_shorelines_LT, shoreline date field=Date_, shoreline uncertainty field name=Uncy, the default accuracy=10 meters, shoreline intersection=seaward, stats calculations=[SCE, NSM, LRR], shoreline threshold=3, confidence interval=90%. Files produced = OuterCapeH_trans_LT_rates_20210706_132624, OuterCapeH_trans_LT_intersect_20210706_132624. NOTE: All shorelines have an uncertainty value listed in the attribute table that provides the horizontal uncertainty associated with the shoreline, regardless of the method used. The shoreline database contains both MHW and HWL shorelines thus a proxy-datum bias (PDB), stored as a line feature class appended to the reference baseline, is applied during rate calculation. For more information about the origin of the proxy-datum bias, see Ruggiero and List (2009). Rate statistics are presented with both the PDB applied, and with the bias omitted, in which case the attribute field will show “NB_” or “No bias”. The bias uncertainty values are stored within the bias feature attribute table.
MA_shorelines_LT
OuterCapeH_transects_LT
2021
OuterCapeH_trans_rates_LT
OuterCapeH_intersects_LT
Transect features generated in a personal geodatabase using DSAS v5.1.2020.0720.0030. Parameters Used: baseline layer= OuterCapeH_baseline, baseline group field=DSAS_group, transect spacing=50 meters, search distance=200 meters, land direction=left, shoreline intersection=seaward, File produced = OuterCapeH_trans_ST. For additional details on these 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. Some transects were manually edited for length, moved, or deleted in an edit session using standard editing tools in ArcMap v10.7.1
MA_shorelines_ST
OuterCapeH_baseline
2021
OuterCapeH_transects_ST
Shoreline intersects and rate calculations performed for long-term rates with and without bias. Parameters Used: shoreline layer= MA_shorelines_ST, shoreline date field=Date_, shoreline uncertainty field name=Uncy, the default accuracy=5.1 meters, shoreline intersection=seaward, stats calculations=[SCE, NSM, EPR LRR], shoreline threshold=2, confidence interval=90%. Files produced = OuterCapeH_trans_ST_rates_20210329_153431, OuterCapeH_trans_ST_intersect_20210329_153431. NOTE: All shorelines have an uncertainty value listed in the attribute table that provides the horizontal uncertainty associated with the shoreline, regardless of the method used. The shoreline database contains both MHW and HWL shorelines thus a proxy-datum bias (PDB), stored as a line feature class appended to the reference baseline, is applied during rate calculation. For more information about the origin of the proxy-datum bias, see Ruggiero and List (2009). Rate statistics are presented with both the PDB applied, and with the bias omitted, in which case the attribute field will show “NB_” or “No bias”. The bias uncertainty values are stored within the bias feature attribute table.
MA_shorelines_ST
OuterCapeH_transects_ST
2021
OuterCapeH_trans_rates_ST
OuterCapeH_intersects_ST
The rate feature classes were exported to shapefiles in ArcMap v10.7.1 by right-clicking the transect layer > Data > Export data.
2021
The exported rate shapefiles were projected in Esri's ArcToolbox (v10.7.1) > Data Management Tools > Projections and Transformations > Project. Parameters: input projection = UTM zone 19N (WGS84); output projection = geographic coordinates (WGS84); transformation = none.
OuterCapeE_trans_rates_LT
OuterCapeE_trans_rates_ST
OuterCapeW_trans_rates_LT
OuterCapeW_trans_rates_ST
OuterCapeH_trans_rates_LT
OuterCapeH_trans_rates_ST
2021
OuterCapeE_rates_LT
OuterCapeE_rates_ST
OuterCapeW_rates_LT
OuterCapeW_rates_ST
OuterCapeH_rates_LT
OuterCapeH_rates_ST
Vector
String
0.0197425946
0.0261674174
Decimal seconds
D WGS 1984
WGS 1984
6378137.0
298.257223563
OuterCapeE_rates_LT.shp
Rates of long-term shoreline change are calculated by DSAS and stored in the transect file, using the distance measurements between shorelines and baseline at each DSAS transect. These attributes are for long-term rates with and without bias applied. The shapefiles will have LT for long-term in filename. Vector Object Count: 1730
U.S. Geological Survey
FID
Internal feature number used as a unique identifier of an object within a table primarily used in shapefiles.
Esri
Sequential unique whole numbers that are automatically generated.
SHAPE
Feature geometry
Esri
Coordinates defining the features.
TransectID
A unique identification number for each transect. Values may not increment sequentially alongshore.
U.S. Geological Survey
Sequential unique whole numbers that are automatically generated.
BaselineID
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.
U.S. Geological Survey
1
unlimited
GroupID
This optional field is a way to aggregate transects on the basis of physical variations alongshore (for example, tidal inlets, change in coastal type, or hard stabilization features). This value was assigned by the user as an attribute to a baseline segment and results in a group average being reported in the DSAS summary text file.
U.S. Geological Survey
1
unlimited
TransOrder
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.
U.S. Geological Survey
0
unlimited
Azimuth
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.
U.S. Geological Survey
0
360
Degrees
ShrCount
Number of shorelines used to compute shoreline change metrics.
U.S. Geological Survey
3
unlimited
TCD
The Total Cumulative Distance (TCD) is the measure in meters along shore from the start of the baseline segment with an ID=1, and measured sequentially alongshore to the end of the final baseline segment
U.S. Geological Survey
0
unlimited
SHAPE_Length
Length of feature in meter units (UTM zone 19N, WGS 84)
Esri
0
unlimited
LRR
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. LRR calculations require a minimum of 3 shorelines; less than 3 shorelines results in a “null” value, which is not a supported value in shapefile format . A value of 9999 in the LRR attribute field along with a ShRCount of 2 indicates the required number of shorelines to compute the linear regression rate was not met.
U.S. Geological Survey
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.
NB_LRR
The LRR without the bias applied.
U.S. Geological Survey
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.
LR2
The R-squared statistic, or coefficient of determination, is the percentage 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).
U.S. Geological Survey
0
1
NB_LR2
The LR2 without the bias applied.
U.S. Geological Survey
0
1
LSE
The predicted (or estimated) values of y (the distance from baseline in meters) are computed for each shoreline point by using the values of x (the shoreline date) and solving the equation for the best-fit regression line (y=mx+b). The standard error is also called the standard deviation.
U.S. Geological Survey
Positive decimal values in meters.
NB_LSE
The LSE without the bias applied.
U.S. Geological Survey
Positive decimal values in meters.
LCI90
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.
U.S. Geological Survey
Positive decimal values in meters
NB_LCI90
The LCI at the user-selected confidence value without the bias applied.
U.S. Geological Survey
Positive decimal values in meters
OuterCapeE_rates_ST.shp
Rates of short-term shoreline change are calculated by DSAS and stored in the transect file, using the distance measurements between shorelines and baseline at each DSAS transect. These attributes are for short-term rates with and without bias applied. The shapefiles will have ST for short-term in filename. Vector object count: 1731
U.S. Geological Survey
FID
Internal feature number used as a unique identifier of an object within a table primarily used in shapefiles.
ESRI
Sequential unique whole numbers that are automatically generated.
Shape
Feature geometry.
ESRI
Coordinates defining the features.
TransectID
A unique identification number for each transect. Values may not increment sequentially alongshore.
USGS
Sequential unique whole numbers that are automatically generated.
BaselineID
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.
USGS
1
unlimited
GroupID
This optional field is a way to aggregate transects on the basis of physical variations alongshore (for example, tidal inlets, change in coastal type, or hard stabilization features). This value was assigned by the user as an attribute to a baseline segment and results in a group average being reported in the DSAS summary text file.
USGS
1
unlimited
TransOrder
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.
USGS
0
unlimited
Azimuth
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.
USGS
0
360
ShrCount
Number of shorelines used to compute shoreline change metrics.
USGS
2
unlimited
TCD
The Total Cumulative Distance (TCD) is the measure in meters along shore from the start of the baseline segment with an ID=1, and measured sequentially alongshore to the end of the final baseline segment
USGS
0
unlimited
EPR
The end point rate (EPR) is calculated by determining the distance between the oldest and youngest shoreline on a DSAS transect and dividing by the time elapsed between the two shoreline dates.
U.S. Geological Survey
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.
NB_EPR
EPR without the bias applied.
U.S. Geological Survey
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.
EPRunc
An estimate of end point rate uncertainty. 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.
U.S. Geological Survey
0
unlimited
NB_EPRunc
EPRunc without the bias applied.
U.S. Geological Survey
0
unlimited
LRR
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. LRR calculations require a minimum of 3 shorelines; less than 3 shorelines results in a “null” value, which is not a supported value in shapefile format . A value of 9999 in the LRR attribute field along with a ShRCount of 2 indicates the required number of shorelines to compute the linear regression rate was not met.
USGS
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.
NB_LRR
LRR without the bias applied.
USGS
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.
LR2
The R-squared statistic, or coefficient of determination, is the percentage 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).
USGS
0
1
NB_LR2
LR2 without the bias applied
USGS
0
1
LSE
The predicted (or estimated) values of y (the distance from baseline in meters) are computed for each shoreline point by using the values of x (the shoreline date) and solving the equation for the best-fit regression line (y=mx+b). The standard error is also called the standard deviation.
USGS
Positive decimal values in meters.
NB_LSE
LSE without the bias applied.
USGS
Positive decimal values in meters.
LCI90
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.
USGS
Positive decimal values in meters.
NB_LCI90
LC190 without the bias applied.
USGS
Positive decimal values in meters.
SHAPE_Leng
Length of feature in meter units (UTM zone 19N, WGS 84)
USGS
0
unlimited
OuterCapeW_rates_LT.shp
Rates of long-term shoreline change are calculated by DSAS and stored in the transect file, using the distance measurements between shorelines and baseline at each DSAS transect. These attributes are for long-term rates with and without bias applied. The shapefiles will have LT for short-term in filename. Vector object count: 416
U.S. Geological Survey
FID
Internal feature number used as a unique identifier of an object within a table primarily used in shapefiles.
ESRI
Sequential unique whole numbers that are automatically generated.
Shape
Feature geometry.
ESRI
Coordinates defining the features.
TransectID
A unique identification number for each transect. Values may not increment sequentially alongshore.
USGS
Sequential unique whole numbers that are automatically generated.
BaselineID
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.
USGS
1
unlimited
GroupID
This optional field is a way to aggregate transects on the basis of physical variations alongshore (for example, tidal inlets, change in coastal type, or hard stabilization features). This value was assigned by the user as an attribute to a baseline segment and results in a group average being reported in the DSAS summary text file.
USGS
1
unlimited
TransOrder
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.
USGS
0
unlimited
Azimuth
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.
USGS
0
360
ShrCount
Number of shorelines used to compute shoreline change metrics.
USGS
3
unlimited
TCD
The Total Cumulative Distance (TCD) is the measure in meters along shore from the start of the baseline segment with an ID=1, and measured sequentially alongshore to the end of the final baseline segment
USGS
0
unlimited
LRR
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. LRR calculations require a minimum of 3 shorelines; less than 3 shorelines results in a “null” value, which is not a supported value in shapefile format . A value of 9999 in the LRR attribute field along with a ShRCount of 2 indicates the required number of shorelines to compute the linear regression rate was not met.
USGS
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.
NB_LRR
LRR without the bias applied.
USGS
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.
LR2
The R-squared statistic, or coefficient of determination, is the percentage 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).
USGS
0
1
NB_LR2
LR2 without the bias applied
USGS
0
1
LSE
The predicted (or estimated) values of y (the distance from baseline in meters) are computed for each shoreline point by using the values of x (the shoreline date) and solving the equation for the best-fit regression line (y=mx+b). The standard error is also called the standard deviation.
USGS
Positive decimal values in meters.
NB_LSE
LSE without the bias applied.
USGS
Positive decimal values in meters.
LCI90
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.
USGS
Positive decimal values in meters.
NB_LCI90
LC190 without the bias applied.
USGS
Positive decimal values in meters.
SHAPE_Leng
Length of feature in meter units (UTM zone 19N, WGS 84)
USGS
0
unlimited
OuterCapeW_rates_ST.shp
Rates of short-term shoreline change are calculated by DSAS and stored in the transect file, using the distance measurements between shorelines and baseline at each DSAS transect. These attributes are for short-term rates with and without bias applied. The shapefiles will have ST for short-term in filename. Vector object count: 417
U.S. Geological Survey
FID
Internal feature number used as a unique identifier of an object within a table primarily used in shapefiles.
ESRI
Sequential unique whole numbers that are automatically generated.
Shape
Feature geometry.
ESRI
Coordinates defining the features.
TransectID
A unique identification number for each transect. Values may not increment sequentially alongshore.
USGS
Sequential unique whole numbers that are automatically generated.
BaselineID
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.
USGS
1
unlimited
GroupID
This optional field is a way to aggregate transects on the basis of physical variations alongshore (for example, tidal inlets, change in coastal type, or hard stabilization features). This value was assigned by the user as an attribute to a baseline segment and results in a group average being reported in the DSAS summary text file.
USGS
1
unlimited
TransOrder
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.
USGS
0
unlimited
Azimuth
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.
USGS
0
360
ShrCount
Number of shorelines used to compute shoreline change metrics.
USGS
2
unlimited
TCD
The Total Cumulative Distance (TCD) is the measure in meters along shore from the start of the baseline segment with an ID=1, and measured sequentially alongshore to the end of the final baseline segment
USGS
0
unlimited
EPR
The end point rate (EPR) is calculated by determining the distance between the oldest and youngest shoreline on a DSAS transect and dividing by the time elapsed between the two shoreline dates.
USGS
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.
NB_EPR
EPR without the bias applied.
USGS
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.
EPRunc
An estimate of end point rate uncertainty. 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.
USGS
0
unlimited
NB_EPRunc
EPRunc without the bias applied.
USGS
0
unlimited
LRR
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. LRR calculations require a minimum of 3 shorelines; less than 3 shorelines results in a “null” value, which is not a supported value in shapefile format . A value of 9999 in the LRR attribute field along with a ShRCount of 2 indicates the required number of shorelines to compute the linear regression rate was not met.
USGS
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.
NB_LRR
LRR without the bias applied.
USGS
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.
LR2
The R-squared statistic, or coefficient of determination, is the percentage 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).
USGS
0
1
NB_LR2
LR2 without the bias applied
USGS
0
1
LSE
The predicted (or estimated) values of y (the distance from baseline in meters) are computed for each shoreline point by using the values of x (the shoreline date) and solving the equation for the best-fit regression line (y=mx+b). The standard error is also called the standard deviation.
USGS
Positive decimal values in meters.
NB_LSE
LSE without the bias applied.
USGS
Positive decimal values in meters.
LCI90
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.
USGS
Positive decimal values in meters.
NB_LCI90
LC190 without the bias applied.
USGS
Positive decimal values in meters.
SHAPE_Leng
Length of feature in meter units (UTM zone 19N, WGS 84)
USGS
0
unlimited
OuterCapeH_rates_LT.shp
Rates of long-term shoreline change are calculated by DSAS and stored in the transect file, using the distance measurements between shorelines and baseline at each DSAS transect. These attributes are for long-term rates with and without bias applied. The shapefiles will have LT for short-term in filename. Vector object count: 121
U.S. Geological Survey
FID
Internal feature number used as a unique identifier of an object within a table primarily used in shapefiles.
ESRI
Sequential unique whole numbers that are automatically generated.
Shape
Feature geometry.
ESRI
Coordinates defining the features.
TransectID
A unique identification number for each transect. Values may not increment sequentially alongshore.
USGS
Sequential unique whole numbers that are automatically generated.
BaselineID
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.
USGS
1
unlimited
GroupID
This optional field is a way to aggregate transects on the basis of physical variations alongshore (for example, tidal inlets, change in coastal type, or hard stabilization features). This value was assigned by the user as an attribute to a baseline segment and results in a group average being reported in the DSAS summary text file.
USGS
1
unlimited
TransOrder
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.
USGS
0
unlimited
Azimuth
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.
USGS
0
360
ShrCount
Number of shorelines used to compute shoreline change metrics.
USGS
3
unlimited
TCD
The Total Cumulative Distance (TCD) is the measure in meters along shore from the start of the baseline segment with an ID=1, and measured sequentially alongshore to the end of the final baseline segment
USGS
0
unlimited
LRR
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. LRR calculations require a minimum of 3 shorelines; less than 3 shorelines results in a “null” value, which is not a supported value in shapefile format . A value of 9999 in the LRR attribute field along with a ShRCount of 2 indicates the required number of shorelines to compute the linear regression rate was not met.
USGS
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.
NB_LRR
LRR without the bias applied.
USGS
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.
LR2
The R-squared statistic, or coefficient of determination, is the percentage 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).
USGS
0
1
NB_LR2
LR2 without the bias applied
USGS
0
1
LSE
The predicted (or estimated) values of y (the distance from baseline in meters) are computed for each shoreline point by using the values of x (the shoreline date) and solving the equation for the best-fit regression line (y=mx+b). The standard error is also called the standard deviation.
USGS
Positive decimal values in meters.
NB_LSE
LSE without the bias applied.
USGS
Positive decimal values in meters.
LCI90
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.
USGS
Positive decimal values in meters.
NB_LCI90
LC190 without the bias applied.
USGS
Positive decimal values in meters.
SHAPE_Leng
Length of feature in meter units (UTM zone 19N, WGS 84)
USGS
0
unlimited
OuterCapeH_rates_ST.shp
Rates of short-term shoreline change are calculated by DSAS and stored in the transect file, using the distance measurements between shorelines and baseline at each DSAS transect. These attributes are for short-term rates with and without bias applied. The shapefiles will have ST for short-term in filename. Vector object count: 121
U.S. Geological Survey
FID
Internal feature number used as a unique identifier of an object within a table primarily used in shapefiles.
ESRI
Sequential unique whole numbers that are automatically generated.
Shape
Feature geometry.
ESRI
Coordinates defining the features.
TransectID
A unique identification number for each transect. Values may not increment sequentially alongshore.
USGS
Sequential unique whole numbers that are automatically generated.
BaselineID
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.
USGS
1
unlimited
GroupID
This optional field is a way to aggregate transects on the basis of physical variations alongshore (for example, tidal inlets, change in coastal type, or hard stabilization features). This value was assigned by the user as an attribute to a baseline segment and results in a group average being reported in the DSAS summary text file.
USGS
1
unlimited
TransOrder
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.
USGS
0
unlimited
Azimuth
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.
USGS
0
360
ShrCount
Number of shorelines used to compute shoreline change metrics.
USGS
2
unlimited
TCD
The Total Cumulative Distance (TCD) is the measure in meters along shore from the start of the baseline segment with an ID=1, and measured sequentially alongshore to the end of the final baseline segment
USGS
0
unlimited
EPR
The end point rate (EPR) is calculated by determining the distance between the oldest and youngest shoreline on a DSAS transect and dividing by the time elapsed between the two shoreline dates.
U.S. Geological Survey
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.
NB_EPR
EPR without the bias applied.
U.S. Geological Survey
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.
EPRunc
An estimate of end point rate uncertainty. 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.
U.S. Geological Survey
0
unlimited
NB_EPRunc
EPRunc without the bias applied.
U.S. Geological Survey
0
unlimited
LRR
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. LRR calculations require a minimum of 3 shorelines; less than 3 shorelines results in a “null” value, which is not a supported value in shapefile format . A value of 9999 in the LRR attribute field along with a ShRCount of 2 indicates the required number of shorelines to compute the linear regression rate was not met.
USGS
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.
NB_LRR
LRR without the bias applied.
USGS
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.
LR2
The R-squared statistic, or coefficient of determination, is the percentage 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).
USGS
0
1
NB_LR2
LR2 without the bias applied
USGS
0
1
LSE
The predicted (or estimated) values of y (the distance from baseline in meters) are computed for each shoreline point by using the values of x (the shoreline date) and solving the equation for the best-fit regression line (y=mx+b). The standard error is also called the standard deviation.
USGS
Positive decimal values in meters.
NB_LSE
LSE without the bias applied.
USGS
Positive decimal values in meters.
LCI90
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.
USGS
Positive decimal values in meters.
NB_LCI90
LC190 without the bias applied.
USGS
Positive decimal values in meters.
SHAPE_Leng
Length of feature in meter units (UTM zone 19N, WGS 84)
USGS
0
unlimited
The entity and attribute information provided here describes the tabular data associated with long-term (greater than 50 years, and typically closer to 100 years) and short-term (approximately 30 years) shoreline change rates. Rate statistics are presented with and without the proxy-datum bias, distinguished by fields containing “NB_” for “no bias” in the attribute table. Please review the individual attribute descriptions for detailed information. All calculations for length are in meter units and were based on the UTM zone 19N WGS 84 projection. This region has two shapefiles describing rates, long-term (150+ years) and short-term (~30 years).
U.S. Geological Survey - ScienceBase
U.S. Geological Survey - ScienceBase
mailing and physical
Federal Center, Building 810, MS 302
Denver
CO
88025
1-888-275-8747
sciencebase@usgs.gov
The dataset contains the rate transect features used to store shoreline change data, (SHP and other shapefile components), browse graphic, and the FGDC CSDGM metadata in XML format.
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
Shapefile
ArcGIS 10.7.1
Esri point shapefile
These files (.cpg, .dbf, .prj, .sbn, .sbx, .shp, .shp., 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.
no compression applied
1
https://www.sciencebase.gov/catalog/file/get/6108434fd34ef8d70565bff3
https://www.sciencebase.gov/catalog/item/6108434fd34ef8d70565bff3
https://doi.org/10.5066/P9YGIYFX
The first link downloads all the files on the dataset landing page. The second link is to the dataset landing page where individual files can be viewed and downloaded. The third link is to the data release main landing page.
none
These data are available in a point shapefile format. The user must have software to read and process the data components of a shapefile.
20240319
2021
U.S. Geological Survey
Marie Bartlett
Geologist
mailing and physical
384 Woods Hole Rd
Woods Hole
MA
02543-1598
USA
508-548-8700 x2306
508-457-2310
whsc_data_contact@usgs.gov
The metadata contact email address is a generic address in the event the person is no longer with USGS. (updated on 20240319)
FGDC Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
local time