Kathryn E.L. Smith
Joseph F. Terrano
20170809
Shoreline Change Rates for Barnegat and Great Bay, NJ: 1839 to 2012 (ver 1.1, December 2017)
Vector Digital Dataset (Polyline)
U.S. Geological Survey Data Release
doi:10.5066/F75X275C
St. Petersburg, FL
U.S. Geological Survey
https://doi.org/10.5066/F75X275C
This dataset represents shoreline change rates for the New Jersey coastline (Point Pleasant, NJ to Longport, NJ) from 1839 to 2012. Shoreline data were obtained from multiple data sources, including the U.S. Geological Survey (USGS), National Oceanic and Atmospheric Administration (NOAA), and New Jersey Department of Environmental Protection (NJDEP). Datasets were compiled and analyzed using the R package Analyzing Moving Boundaries Using R (AMBUR) program. Rates of shoreline change can be used for evaluating living shoreline resources, decision-making for future resource and urban planning, and restoration of both protected and open-ocean shorelines.
The purpose of these data is to examine the shoreline change rates for Barnegat and Great Bay, New Jersey.
18390101
20120101
ground condition
As needed
-74.577325105
-74.041075153
40.081196268
39.299815615
USGS Metadata Identifier
USGS:3d954aa8-90d8-4850-8948-08539bb98974
None
Shoreline data
Shoreline map
USGS Thesaurus
coastal processes
aerial photography
digitization
ISO 19115 Topic Category
oceans
environment
boundaries
geoscientificInformation
None
Barnegat Bay
Atlantic Ocean
Little Egg Harbor
Absecon Bay
Reed Bay
Great Bay
USA
New Jersey
Manahawkin Bay
NJ
Little Bay
None
The U.S. Geological Survey requests to be acknowledged as originator of the data in future products or derivative research.
U.S. Geological Survey St Petersburg Coastal and Marine Science Center
Kathryn E.L. Smith
Ecologist
Mailing
600 4th Street South
St. Petersburg
FL
33701
727-502-8073
727-502-8182
kelsmith@usgs.gov
Acknowledgment of the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center, as a data source would be appreciated in products developed from these data, and such acknowledgment as is standard for citation and legal practices. Sharing of new data layers developed directly from these data would also be appreciated by the U.S. Geological Survey staff. Users should be aware that comparisons with other datasets for the same area from other time periods may be inaccurate due to inconsistencies resulting from changes in photointerpretation, mapping conventions, and digital processes over time. These data are not legal documents and are not to be used as such.
Environment as of Metadata Creation: Microsoft Windows 7 Version 6.1 (Build 7601) Service Pack 1; Esri ArcGIS 10.3.1 (Build 4959) Service Pack N/A (Build N/A)
Jackson, C.W., Jr.
2010
Basic User Guide for the AMBUR package for R, version 1.0a
http://ambur.r-forge.r-project.org/user/ambur%20basic%20user%20guide%201_0a.pdf
Shoreline change rates are influenced by availability and accuracy of shoreline data. Analyses of highly dynamic areas are particularly challenging, including 1) areas near inlets, where there is excessively dynamic depositional/erosional sand bars that may appear/disappear rapidly, and 2) stretches of backshore where overwash fans can form islands that are difficult to resolve and distinguish from barrier islands themselves. The End Point Rate (EPR) and Linear Regression Rate (LRR) were compared to identify and correct significant errors in the shoreline change rate.
Vector features and attributes were checked for completeness and accuracy. Linework is generated by the "Construct transects" and "Filter transects" algorithm in the AMBUR program and are generally perpendicular to the shorelines. However, where shorelines experience sharp bends, such as in small bays and narrow spits, the filter algorithym can create transects that are not perpedicular to the shoreline.
Dataset is considered complete for the information presented. Some dated shorelines do not have complete coverage over the entire study area (for example, 1839 shorelines were available for the estuarine shorelines of Long Beach Island, but not for the Barnegat Bay mainland region); however, this was acceptable as the analysis method accounts for the available dates only. Users are advised to read the rest of the metadata record carefully for additional details.
A formal accuracy assessment of the horizontal positional information in the dataset has not been conducted.
A formal accuracy assessment of the vertical positional information in the dataset has either not been conducted, or is not applicable.
Smith, K.E.L. and Terrano, J.F.
20170810
Shorelines for Barnegat and Great Bay, NJ: 1839 to 2012
vector digital data
St Petersburg, FL
U.S. Geological Survey
https://doi.org/10.5066/F75X275C
digital data
1839
2012
ground condition
Shorelines
Dataset containing compiled vector digital shorelines
Transects were generated by buffering the available shoreline datasets to create inner (land based) and outer (water based) baselines. The baselines form the start and end point for shoreline-perpendicular transects. Baselines were input into the AMBUR statistical package for R (version 3.3.2). AMBUR has several tools, which utilize shoreline parallel baselines to generate transects that are generally perpendicular to the shoreline. Transects were constructed at a sampling distance of 50 meters. Length varied from 1000 to 3000 meters, depending on location, and was selected to cover all dated shorelines. Once transects were created, the Filter Transects tool was used to adjust and even out the spread of transects. Where shorelines experience sharp bends, such as in small bays and narrow spits, transects may fall at a non-perpendicular angle. Final transects were checked and edited in ArcGIS (Version 10.3), if necessary, in order to improve analysis results and improve shoreline coverage. Transects were manually edited to reduce errors in the analyses. Shoreline points and final statistical analyses were completed in AMBUR to generate the shoreline change rates. The following analysis parameters were used: fist intersection (if transect intersects the same shoreline more than once, then by dfault it selected the first intersection), confidence level 95 (confidence level for the linear regression statisics), unit label m (the units of measure for the map is for UTM and in meters), analysis type is advanced (advanced includes additional statistics for a robust linear regression), and time unit for rates is yr (utilizes years for calculating rates of shoreline change). More information on the AMBUR program can be obtained from Jackson, C.W., Jr., 2010. Basic User Guide for the AMBUR package for R, version 1.0a. http://ambur.r-forge.r-project.org/user/ambur%20basic%20user%20guide%201_0a.pdf
2017
Kathryn Smith
U.S. Geological Survey
Ecologist
physical
600 4th St S
St Petersburg
FL
33701
727-502-8073
727-502-8182
kelsmith@usgs.gov
Added keywords section with USGS persistent identifier as theme keyword.
20201013
U.S. Geological Survey
VeeAnn A. Cross
Marine Geologist
Mailing and Physical
384 Woods Hole Road
Woods Hole
MA
02543-1598
508-548-8700 x2251
508-457-2310
vatnipp@usgs.gov
Vector
Universal Transverse Mercator
18
0.9996
-75.0
0.0
500000.0
0.0
coordinate pair
0.6096
0.6096
Meter
D_North_American_1983
GRS_1980
6378137.0
298.257222101
The entity and attributes in these datasets are compiled and generated by the AMBUR program given the input shoreline dataset and transects. No data values are left blank. Field descriptions with "NA" are used for AMBUR processing only and do not provide information that is useful for analysis. All distance units are in meters and time unites are in years. Therefore, rates of change would be in meters per year. For attribute definitions, see p. 37 of: Jackson, C.W., Jr., 2010. Basic User Guide for the AMBUR package for R, version 1.0a. http://ambur.r-forge.r-project.org/user/ambur%20basic%20user%20guide%201_0a.pdf (also included in data zip files).
Please review the rest of the metadata record for additional details and information. For details on AMBUR programming code, statistical analyses, and attributes, see the AMBUR project on the R-Forge web site (http://ambur.r-forge.r-project.org/) and the documentation: Jackson, C.W., Jr., 2010. Basic User Guide for the AMBUR package for R, version 1.0a. http://ambur.r-forge.r-project.org/user/ambur%20basic%20user%20guide%201_0a.pdf
U.S. Geological Survey St Petersburg Coastal and Marine Science Center
Kathryn E.L. Smith
Ecologist
Mailing
600 4th Street South
St. Petersburg
FL
33701
727-502-8073
727-502-8182
kelsmith@usgs.gov
NJ_SLC_foreshore_v1.1.zip, NJ_SLC_backshore_v1.1.zip, NJ_SLC_mainland_v1.1.zip, NJ_SLC_islands_and_tribs_v1.1.zip
This digital publication was prepared by an agency of the United States Government. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, nor shall the act of distribution imply any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof.
ArcGIS Shapefile
https://coastal.er.usgs.gov/data-release/doi-F75X275C/data/NJ_SLC_mainland_v1.1.zip
https://coastal.er.usgs.gov/data-release/doi-F75X275C/data/NJ_SLC_backshore_v1.1.zip
https://coastal.er.usgs.gov/data-release/doi-F75X275C/data/NJ_SLC_foreshore_v1.1.zip
https://coastal.er.usgs.gov/data-release/doi-F75X275C/data/NJ_SLC_islands_and_tribs_v1.1.zip
None. No fees are applicable for obtaining the dataset.
20201013
U.S. Geological Survey St Petersburg Coastal and Marine Science Center
Kathryn E.L. Smith
Ecologist
Mailing
600 4th Street South
St. Petersburg
FL
33701
727-502-8073
727-502-8182
kelsmith@usgs.gov
Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998
local time