Metadata: Identification_Information: Citation: Citation_Information: Originator: Sara L. Zeigler Originator: Emily J. Sturdivant Originator: Benjamin T. Gutierrez Publication_Date: 20191220 Title: DisMOSH, Cost, MOSH_Shoreline: Distance to foraging areas for piping plovers including foraging shoreline, cost mask, and least-cost path distance: Metompkin Island, VA, 2014 Edition: 1.0 Geospatial_Data_Presentation_Form: raster digital dataset Series_Information: Series_Name: data release Issue_Identification: DOI:10.5066/P9V7F6UX Publication_Information: Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA Publisher: U.S. Geological Survey, Coastal and Marine Geology Program Online_Linkage: https://doi.org/10.5066/P9V7F6UX Online_Linkage: https://www.sciencebase.gov/catalog/item/5daa37c3e4b09fd3b0c9cecf Larger_Work_Citation: Citation_Information: Originator: Emily J. Sturdivant Originator: Sara L. Zeigler Originator: Benjamin T. Gutierrez Originator: Kathryn M. Weber Publication_Date: 2019 Title: Barrier island geomorphology and shorebird habitat metrics: Sixteen sites on the U.S. Atlantic Coast, 2013–2014 Edition: 1.0 Series_Information: Series_Name: data release Issue_Identification: DOI:10.5066/P9V7F6UX Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Other_Citation_Details: Suggested citation: Sturdivant, E.J., Zeigler, S.L., Gutierrez, B.T., and Weber, K.M., 2019, Barrier island geomorphology and shorebird habitat metrics—Sixteen sites on the U.S. Atlantic Coast, 2013–2014: U.S. Geological Survey data release, https://doi.org/10.5066/P9V7F6UX. Online_Linkage: https://doi.org/10.5066/P9V7F6UX Online_Linkage: https://www.sciencebase.gov/catalog/item/5d5ece47e4b01d82ce961e36 Description: Abstract: Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated into predictive models and the training data used to parameterize those models. This data release contains the extracted metrics of barrier island geomorphology and spatial data layers of habitat characteristics that are input to Bayesian networks for piping plover habitat availability and barrier island geomorphology. These datasets and models are being developed for sites along the northeastern coast of the United States. This work is one component of a larger research and management program that seeks to understand and sustain the ecological value, ecosystem services, and habitat suitability of beaches in the face of storm impacts, climate change, and sea-level rise. Purpose: The distance to foraging layer (Met14_DisMOSH.tif) identifies the least-cost path distance for a piping plover chick to travel from the center of each 5x5 m grid cell to low-energy foraging areas with moist substrates. The distance to foraging data were used within a Bayesian network to model the probability that a specific set of landscape characteristics would be associated with piping plover habitat. The movement cost layer (Met14_Cost.tif) identifies barriers to the movement of piping plover chicks, with barriers including water, human development, and moderate to dense vegetation. Barriers were identified using orthoimagery captured in 2014 (see data sources below). The movement cost layer was used to calculate the least-cost path distance (Met14_DisMOSH.tif) to the nearest foraging area (Met14_MOSH_Shoreline.shp). The foraging shorelines shapefile (Met14_MOSH_Shoreline.shp) delineates foraging shorelines with moist substrates for piping plovers. Foraging areas were determined from elevations measured in 2014 and orthoimagery captured in 2014. Here, foraging shorelines are defined as low-energy and could include the shorelines of sound- or bay-side beaches, interior ponds, and ephemeral pools. Ocean shorelines were not considered low-energy foraging shorelines. See Zeigler and others (2019) for additional details. Supplemental_Information: This metadata file describes three related datasets. For additional information on processing and use of this geospatial dataset, see the USGS Open-File report by Zeigler and others (2019). Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 2014 Currentness_Reference: Ground condition measured by source data. Status: Progress: Complete Maintenance_and_Update_Frequency: None planned Spatial_Domain: Bounding_Coordinates: West_Bounding_Coordinate: -75.58998139 East_Bounding_Coordinate: -75.53487177 North_Bounding_Coordinate: 37.77589104 South_Bounding_Coordinate: 37.69192564 Keywords: Theme: Theme_Keyword_Thesaurus: USGS Metadata Identifier Theme_Keyword: USGS:5daa37c3e4b09fd3b0c9cecf Theme: Theme_Keyword_Thesaurus: None Theme_Keyword: Bayesian Network Theme_Keyword: Barrier Island Theme_Keyword: USGS Theme_Keyword: CMGP Theme_Keyword: Geographic Information Systems Theme_Keyword: GIS Theme_Keyword: U.S. Geological Survey Theme_Keyword: Coastal and Marine Geology Program Theme_Keyword: Woods Hole Coastal and Marine Science Center Theme_Keyword: St. Petersburg Coastal and Marine Science Center Theme_Keyword: MHW Theme_Keyword: Mean High Water Theme_Keyword: Coastal Habitat Theme_Keyword: Metompkin Island Theme_Keyword: Virginia Coast Reserve Theme_Keyword: Piping Plovers Theme_Keyword: Charadrius melodus Theme_Keyword: Foraging Ecology Theme: Theme_Keyword_Thesaurus: ISO 19115 Topic Category Theme_Keyword: environment Theme_Keyword: biota Theme: Theme_Keyword_Thesaurus: USGS Thesaurus Theme_Keyword: geospatial datasets Theme_Keyword: geospatial analysis Theme_Keyword: geomorphology Theme_Keyword: geography Theme_Keyword: ecology Place: Place_Keyword_Thesaurus: None Place_Keyword: Virginia Place_Keyword: VA Place_Keyword: Delmarva Peninsula Place_Keyword: Metompkin Island Place_Keyword: North America Place_Keyword: United States Place_Keyword: USA Place_Keyword: Atlantic Ocean Place_Keyword: Virginia Coast Reserve Access_Constraints: none Use_Constraints: Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey (USGS) as the source of this information. Point_of_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Sara L. Zeigler Contact_Address: Address_Type: mailing address Address: 384 Woods Hole Road City: Woods Hole State_or_Province: MA Postal_Code: 02543 Country: US Contact_Voice_Telephone: 508-548-8700 x2290 Contact_Facsimile_Telephone: 508-457-2310 Contact_Electronic_Mail_Address: szeigler@usgs.gov Browse_Graphic: Browse_Graphic_File_Name: https://www.sciencebase.gov/catalog/file/get/5daa37c3e4b09fd3b0c9cecf/?name=DisMOSH_cei_browse.png Browse_Graphic_File_Description: Example movement cost layer and least-cost path distance to low-energy foraging areas used by piping plovers. The foraging shoreline is displayed in orange overlaid on both layers. This example is for Cedar Island, VA and does not represent this dataset. Browse_Graphic_File_Type: PNG Cross_Reference: Citation_Information: Originator: Sara L. Zeigler Originator: Emily J. Sturdivant Originator: Benjamin T. Gutierrez Publication_Date: 2019 Title: Evaluating barrier island characteristics and piping plover (Charadrius melodus) habitat availability along the U.S. Atlantic coast—Geospatial approaches and methodology Series_Information: Series_Name: Open-File Report Issue_Identification: 2019–1071 Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Other_Citation_Details: Details the methods used to process these data for use in barrier island and piping plover habitat modeling. Online_Linkage: https://doi.org/10.3133/ofr20191071 Data_Quality_Information: Logical_Consistency_Report: These files consist of polyline and raster data produced from aerial imagery and a digital elevation model (DEM) through a semi-automated process described below. The foraging shoreline file consists of a polyline vector dataset manually clipped from the shoreline polygon(s) in the larger work (met14_shoreline.shp). The full shoreline was QA/QC'd in ArcMap. No further logical accuracy tests were conducted on the present dataset. Completeness_Report: These datasets are clipped to a custom boundary and may not include the entire spatial extent of the original source datasets as they are published in original form. However, the custom boundary spans the entire coverage of the Metompkin Island site relevant to the broader research program (see Zeigler and others, 2019 for more details). The movement barriers are derived from a combination of four layers released in the larger work (see process description below) and are a complete combination of the inputs. This dataset is considered complete for the information presented as described in the abstract section. Users are advised to read the rest of the metadata record carefully for additional details. Positional_Accuracy: Horizontal_Positional_Accuracy: Horizontal_Positional_Accuracy_Report: All datasets inherit the horizontal accuracy of the source data from which they were created. The movement cost layer (Met14_Cost.tif) was produced using categorical landcover maps published in the larger work (Met14_GeoSet.tif, Met14_VegType.tif, Met14_VegDen.tif, Met14_VegDen.tif). We estimate that all four source landcover layers, and therefore the movement cost layer, are accurate within 5 m. The foraging shoreline layer (Met14_MOSH_Shoreline.shp) was created from the shoreline file in the larger work and the orthoimage, and inherits the horizontal accuracy of these layers. We estimate the accuracy to be within 25 m horizontally. The distance to foraging dataset (Met14_DisMOSH.tif) was created directly from the foraging shoreline and movement cost layer (Met14_MOSH_Shoreline.shp and Met14_Cost.tif). We estimate the accuracy of the distance to foraging dataset within 5 m horizontally. No further formal accuracy assessments of the horizontal positional information in these datasets have been conducted. Lineage: Source_Information: Source_Citation: Citation_Information: Originator: Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division Publication_Date: 20150501 Title: 2014 NOAA Ortho-rectified Mosaic of Hurricane Sandy Coastal Impact Area Geospatial_Data_Presentation_Form: remote-sensing image Publication_Information: Publication_Place: Silver Spring, MD Publisher: NOAA's Ocean Service, National Geodetic Survey (NGS) Online_Linkage: https://coast.noaa.gov/dataviewer/#/imagery/search/where:ID=4885 Online_Linkage: https://coast.noaa.gov/htdata/raster1/imagery/Sandy_2014_4885 Online_Linkage: https://coast.noaa.gov/dataviewer Online_Linkage: https://inport.nmfs.noaa.gov/inport/item/48588 Type_of_Source_Media: digital data Source_Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 20140101 Ending_Date: 20140421 Source_Currentness_Reference: ground condition Source_Citation_Abbreviation: Orthoimage Source_Contribution: Imagery was used to visually inspect the full shoreline and remove components from the present dataset that were not associated with low-energy, sandy beaches. Source data were distributed at 0.35 m pixel resolution, in horizontal datum NAD83. Downloaded on 2/21/2017. Data were projected to UTM Zone 18N (EPSG:26918) using the ‘Project Raster’ tool in ArcToolbox (version 10.4.1). Process_Step: Process_Description: Met14_MOSH_Shoreline.shp This vector file delineates foraging shorelines with moist substrates for piping plovers and their chicks. These are areas where piping plovers and their chicks could forage for terrestrial arthropods, invertebrates, marine worms, and other foods. Foraging shorelines are defined as low-energy and could include the shorelines of sound- or bay-side beaches, interior ponds, and ephemeral pools. Ocean shorelines are not considered low-energy foraging shorelines. Full methods are provided in the associated Open-File Report (Zeigler and others, 2019). All processing was performed in ArcGIS version 10.4.1. We converted the shoreline polygon file (met14_shoreline.shp in larger work) to polyline format using the 'Polygon to Line' tool in ArcGIS. We overlaid the output shoreline polylines on the orthoimage and - in an Edit session - manually removed sections of the lines that did not correspond to inlets, ponds, ephemeral water bodies, or back-barrier sandy beaches. This included removing the ocean-facing shoreline. These features were identified based on visual inspection of the orthoimage. Also during this Edit session, we hand-digitized the boundaries of low-energy shorelines that were not included as part of the shoreline polygon(s). These included the boundaries of ephemeral pools, inland ponds, and the interior edges of marsh channels. The determination of landscape type was based on visual inspection of the orthoimage. Process_Date: 2018 Process_Step: Process_Description: Met14_Cost.tif This spatial coverage was created to establish boundaries to the movements of piping plover chicks (which are unable to fly pre-fledging). Development, moderate to dense vegetation, and persistent water are considered barriers to movement of plover chicks. We assumed that adults and chicks might be able to walk across temporarily exposed portions of the beach at low tide. Full methods and additional figures are provided in the associated Open-File Report (Zeigler and others, 2019). Input classification layers (Met14_GeoSet.tif, Met14_SubType.tif, Met14_VegType.tif, and Met14_VegDen.tif) are published in the larger work. All processing was performed in ArcGIS version 10.4.1. We used the ‘Combine’ tool in ArcToolbox to merge the input categorical landcover layers—geomorphic setting, substrate type, vegetation type, and vegetation density—into a single raster with a values attribute table. We added an additional column ‘Cost’ to the attribute table of this combined layer. We manually assigned a cost value of 10 to every row that contained: - ‘Development’ (substrate type, vegetation type, and vegetation density); - ‘Moderate’, ‘Dense’, or ‘Moderate or Dense’ (vegetation density); or - ‘Water’ (for substrate type; unless geomorphic setting was also 'Beach'). All remaining combinations in the attribute table were assigned a cost value of 0, indicating that there is no cost or resistance to movement through these raster cells. The cost value of 10 indicates a high cost of—or resistance to—movement. The values of 10 and 0 are arbitrary and do not impact data quality. In cases where the substrate type, vegetation type, or vegetation density were unknown (and the remaining known habitat variables did not contain a movement barrier), we allowed for movement so as not to preclude what could be a movement corridor. We converted the Cost column into a new raster layer using the ‘Lookup’ tool in ArcToolbox. In the resulting layer, cell values were equivalent to those in the ‘Cost’ column in the attribute table of the combined raster layer. We reclassified this layer such that every cell with a value of 10 was assigned NoData (-9999) and every cell with a value of 0 was assigned 1 (Reclassify tool). The output extent of the reclassification was set to that of the study area in geoprocessing settings. Thus the final Movement Cost layer indicates barriers to movement with a NoData value (-9999) and possibility of movement with value of 1. Process_Date: 2018 Process_Step: Process_Description: Met14_DisMOSH.tif We calculated the least-cost path distance from the center of every 5x5 m raster cell to the nearest low-energy foraging area with moist substrates using the ‘Path Distance’ tool in ArcGIS (version 10.4.1). The foraging shoreline vector layer (Met14_MOSH_Shoreline.shp) was considered the ‘Source data’ and the movement cost layer (Met14_Cost.tif) was considered the ‘Input cost layer’. This tool calculates the least accumulative cost distance for each cell to the nearest source (foraging shoreline) while accounting for surface distance and horizontal cost factors (movement cost). The output extent was set to a custom boundary that spans the entire coverage of the Metompkin Island site relevant to the broader research program (see Zeigler and others, 2019 for more details). The extent of this custom boundary does not affect the data quality of the distance to foraging layer. We then reclassified this path distance layer using 'Reclassify'. Cells previously coded as NoData within the study area boundaries were converted to a fill value of 99,999, which denoted ‘No Access’ while cells outside the study area retained the NoData designation (-9999). We assumed that cells marked as movement barriers in the movement cost layer had no access to foraging areas. Those cells received a fill value. Please review the individual attribute descriptions as well as Zeigler and others (2019) for detailed information and example figures. Process_Date: 2018 Process_Step: Process_Description: Added keywords section with USGS persistent identifier as theme keyword. Process_Date: 20200810 Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: VeeAnn A. Cross Contact_Position: Marine Geologist Contact_Address: Address_Type: Mailing and Physical Address: 384 Woods Hole Road City: Woods Hole State_or_Province: MA Postal_Code: 02543-1598 Contact_Voice_Telephone: 508-548-8700 x2251 Contact_Facsimile_Telephone: 508-457-2310 Contact_Electronic_Mail_Address: vatnipp@usgs.gov Spatial_Reference_Information: Horizontal_Coordinate_System_Definition: Planar: Grid_Coordinate_System: Grid_Coordinate_System_Name: Universal Transverse Mercator Universal_Transverse_Mercator: UTM_Zone_Number: 18 Transverse_Mercator: Scale_Factor_at_Central_Meridian: 0.9996 Longitude_of_Central_Meridian: -75 Latitude_of_Projection_Origin: 0.0 False_Easting: 500000.0 False_Northing: 0.0 Planar_Coordinate_Information: Planar_Coordinate_Encoding_Method: row and column Coordinate_Representation: Abscissa_Resolution: 5.0 Ordinate_Resolution: 5.0 Planar_Distance_Units: Meter Geodetic_Model: Horizontal_Datum_Name: D_North_American_1983 Ellipsoid_Name: GRS_1980 Semi-major_Axis: 6378137.0 Denominator_of_Flattening_Ratio: 298.257222101 Entity_and_Attribute_Information: Detailed_Description: Entity_Type: Entity_Type_Label: Met14_DisMOSH.tif Entity_Type_Definition: The distance to foraging layer (Met14_DisMOSH.tif) is a 1869 x 960 pixel raster layer, where the value of every 5x5 m cell is the least-cost path distance from the center of that cell to the nearest foraging area with moist substrate used by piping plovers. This distance assumes that, for a piping plover chick to reach a foraging area, it would need to take a path that avoids areas of moderate to dense vegetation and human development. Entity_Type_Definition_Source: Producer defined Attribute: Attribute_Label: Value Attribute_Definition: Least-cost path distance (m) from the cell centroid to the nearest point on a foraging shoreline used by piping plovers. A value of '99999' indicates no access to foraging from the cell due to movement barrier(s). NoData value of ‘-9999’ indicates cells outside the study area extent. Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0 Range_Domain_Maximum: 2834.36 Attribute_Units_of_Measure: meters Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 99999 Enumerated_Domain_Value_Definition: No access to foraging from the cell due to movement barrier(s) Enumerated_Domain_Value_Definition_Source: Producer defined Detailed_Description: Entity_Type: Entity_Type_Label: Met14_Cost values attribute table Entity_Type_Definition: Values attribute table (Met14_Cost.tif.vat.dbf), which indicates movement barriers for piping plover chicks at every cell in the raster (Met14_Cost.tif; 1869 x 960 pixels). Raster cells containing movement barriers—which include areas containing water, moderate or dense vegetation, and development—have a NoData value of '-9999'. Raster cells that lack movement barriers have a value of '1'. Entity_Type_Definition_Source: Producer defined Attribute: Attribute_Label: OID Attribute_Definition: Internal identifier Attribute_Definition_Source: Esri Attribute_Domain_Values: Unrepresentable_Domain: Sequential unique whole numbers that are automatically generated. Attribute: Attribute_Label: VALUE Attribute_Definition: Binary value (1) indicating the absence of a movement barrier for piping plover chicks. NoData (-9999) indicates a movement barrier. Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 1 Enumerated_Domain_Value_Definition: No barrier to piping plover chick movement. Enumerated_Domain_Value_Definition_Source: Producer defined Attribute: Attribute_Label: COUNT Attribute_Definition: Number of 5x5 m cells in the raster coverage that do not contain a barrier to piping plover movement. Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 211605 Range_Domain_Maximum: 211605 Attribute_Units_of_Measure: grid cells Attribute: Attribute_Label: DESCRIPTIO Attribute_Definition: Definition of binary value indicating the absence of a movement barrier for piping plover chicks. Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: No movement cost (not a barrier) Enumerated_Domain_Value_Definition: Definition of binary value (1) indicating the absence of a movement barrier for piping plover chicks. Enumerated_Domain_Value_Definition_Source: Producer defined Detailed_Description: Entity_Type: Entity_Type_Label: Met14_MOSH_Shoreline attribute table Entity_Type_Definition: Attribute values for polylines delineating foraging shoreline for piping plovers (Met14_MOSH_Shoreline.shp). Here, foraging shorelines are defined as low-energy and could include the shorelines of sound- or bay-side beaches, interior ponds, and ephemeral pools. Ocean shorelines were not considered low-energy foraging shorelines. Entity_Type_Definition_Source: Producer defined Attribute: Attribute_Label: FID Attribute_Definition: Internal feature number Attribute_Definition_Source: Esri Attribute_Domain_Values: Unrepresentable_Domain: Sequential unique whole numbers that are automatically generated. Attribute: Attribute_Label: Shape Attribute_Definition: Feature geometry. Attribute_Definition_Source: Esri Attribute_Domain_Values: Unrepresentable_Domain: Coordinates defining the features. Attribute: Attribute_Label: ID Attribute_Definition: Binary value indicating the presence (1) of a section of foraging shoreline for piping plovers Attribute_Definition_Source: Producer defined Attribute_Domain_Values: Enumerated_Domain: Enumerated_Domain_Value: 1 Enumerated_Domain_Value_Definition: Indicates the presence of a section of foraging shoreline for piping plovers. Here, foraging shorelines are defined as low-energy and could include the shorelines of sound- or bay-side beaches, interior ponds, and ephemeral pools. Ocean shorelines were not considered low-energy foraging shorelines. Enumerated_Domain_Value_Definition_Source: Producer defined Overview_Description: Entity_and_Attribute_Overview: This section provides a separate detailed entity and attribute information section for each dataset described in these metadata. These datasets comprise two individual raster files in GeoTiff format. The cost raster has an associated values attribute table with discrete attribute values for each 5x5 m cell. The values attribute file is a necessary component of the dataset. A polyline shapefile of foraging shoreline is also included. For the raster files, a fill value of ‘99999’ indicates cells within the study area without access to foraging. NoData value of ‘-9999’ indicates cells outside the study area extent. Entity_and_Attribute_Detail_Citation: Methods Open-File Report by Zeigler and others (2019) Distribution_Information: Distributor: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey - ScienceBase Contact_Address: Address_Type: mailing and physical address Address: Denver Federal Center, Building 810, Mail Stop 302 City: Denver State_or_Province: CO Postal_Code: 80225 Country: USA Contact_Voice_Telephone: 1-888-275-8747 Contact_Electronic_Mail_Address: sciencebase@usgs.gov Resource_Description: This dataset contains three individual datasets: the distance to foraging dataset is available as a 32-bit GeoTIFF with continuous cost distance values (Met14_DisMOSH.tif); the movement cost dataset is provided as an 8-bit GeoTIFF with value attribute table (Met14_Cost.tif and Met14_Cost.tif.vat.dbf) with discrete attribute values for each 5x5 m cell; and the foraging shoreline is an Esri shapefile (Met14_MOSH_Shoreline.shp and associated shapefile components). Additionally, the CSDGM FGDC metadata in XML format (Met14_DisMOSH_Cost_MOSH_Shoreline_meta.xml) and the browse graphic (dismosh_cei_browse.png) are included. These datasets can be downloaded individually or packaged on-demand in a zip file (see the Digital Transfer Option section). 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, firm, or product 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: GeoTIFF Format_Version_Number: ArcGIS 10.4 Format_Specification: GeoTIFF, also includes Esri polyline shapefile, possibly provided in a ZIP compressed format Format_Information_Content: This dataset contains a 32-bit GeoTIFF of cost distance, an 8-bit binary GeoTIFF of movement cost, and a polyline shapefile of the shorelines. Also included is the CSDGM metadata and the browse graphic. Transfer_Size: 15.7 Digital_Transfer_Option: Online_Option: Computer_Contact_Information: Network_Address: Network_Resource_Name: https://www.sciencebase.gov/catalog/item/5daa37c3e4b09fd3b0c9cecf Network_Resource_Name: https://www.sciencebase.gov/catalog/file/get/5daa37c3e4b09fd3b0c9cecf Network_Resource_Name: https://doi.org/10.5066/P9V7F6UX Access_Instructions: The first link is to the page containing the data. The second is a direct link to download all data available from the page as a zip file. The final link is to the publication landing page. The data page (first link) may have additional data access options, including web services. Digital_Form: Digital_Transfer_Information: Format_Name: Shapefile Format_Version_Number: ArcGIS 10.4 Format_Specification: Esri polyline shapefile Format_Information_Content: This dataset contains a 32-bit GeoTIFF of cost distance, an 8-bit binary GeoTIFF of movement cost, and a polyline shapefile of the shorelines. Also included is the CSDGM metadata and the browse graphic. Transfer_Size: 0.021 Digital_Transfer_Option: Online_Option: Computer_Contact_Information: Network_Address: Network_Resource_Name: *** Network_Resource_Name: *** Network_Resource_Name: *** Access_Instructions: The first link is to the page containing the data. The second is a direct link to download all data available from the page as a zip file. The final link is to the publication landing page. The data page (first link) may have additional data access options, including web services. Fees: None Technical_Prerequisites: To utilize these data, the user must have software capable of reading shapefile format, and 32-bit GeoTIFF with associated values attribute table. Metadata_Reference_Information: Metadata_Date: 20200810 Metadata_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: Sara L. Zeigler Contact_Organization: U.S. Geological Survey Contact_Address: Address_Type: Mailing and Physical Address: 384 Woods Hole Road City: Woods Hole State_or_Province: MA Postal_Code: 02543 Country: United States Contact_Voice_Telephone: 508-548-8700 x2290 Contact_Electronic_Mail_Address: szeigler@usgs.gov Metadata_Standard_Name: FGDC Content Standard for Digital Geospatial Metadata Metadata_Standard_Version: FGDC-STD-001-1998