{
 "currentVersion": 11.1,
 "cimVersion": "3.1.0",
 "serviceDescription": "This resource was developed by the U.S. Geological Survey (USGS) in partnership with Esri and the Marine Biodiversity Observation Network (MBON). The underlying data are 4 million 1 km or shorter coastal segments, each of which is attributed with values from ten ecological settings variables representing the adjacent ocean, the adjacent land, and the coastline itself.\n\n\n\nThe 4 million coastal segments were classified into 81,000 coastal segment units (CSUs) using the Coastal and Marine Ecosystem Classification Standard (CMECS). Each distinct CSU is a segment with a unique combination of the classes of values of the ten ecological settings variables. The 4 million segments were also clustered into a set of 16 global groups of coastlines which are similar in the aggregate ecological setting described by the ten variables.\n\n\n\nThe complete set of methodological details and results from the global coastline segmentation analysis are available in Sayre et al. (2021).\n\n\n\nThe geospatial linework used for the global segmentation, classification, and clustering is the same Global Shoreline Vector (GSV) data used in the companion tool we developed for exploring the location, shape and size, and name of the islands of the planet. The derivation of the GSV from 30 m spatial resolution satellite imagery is described in Sayre et al. (2018).\n\n\n\nSayre, R., K. Butler, K. VanGraafeiland, S. Breyer, D. Wright, C. Frye, D. Karagulle, M. Martin, J. Cress, T. Allen, R. Allee, R. Parsons, B. Nyberg, M. Costello, F. Muller-Karger, and P. Harris. 2021. Earth\u2019s Coastlines. In Wright, D. and C. Harder (eds), GIS For Science \u2013 Volume 3. Esri Press, Redlands, California.\n\n\n\nSayre, R., S. Noble, S. Hamann, R. Smith, D. Wright, S. Breyer, K. Butler, K. Van Graafeiland, C. Frye, D. Karagulle, D. Hopkins, D. Stephens, K. Kelly, Z, basher, D. Burton, J. Cress, K. Atkins, D. van Sistine, B. Friesen, B. Allee, T. Allen, P. Aniello, I Asaad, M. Costello, K. Goodin, P. Harris, M. Kavanaugh, H. Lillis, E. Manca, F. Muller-Karger, B. Nyberg, R. Parsons, J. Saarinen, J. Steiner, and A. Reed. 2018. A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized global ecological coastal units. Journal of Operational Oceanography \u2013 A Special Blue Planet Edition. DOI:10.1080/1755876X.2018.1529714.",
 "mapName": "gceVector",
 "description": "This resource was developed by the U.S. Geological Survey (USGS) in partnership with Esri and the Marine Biodiversity Observation Network (MBON). The underlying data are 4 million 1 km or shorter coastal segments, each of which is attributed with values from ten ecological settings variables representing the adjacent ocean, the adjacent land, and the coastline itself.\n\n\n\nThe 4 million coastal segments were classified into 81,000 coastal segment units (CSUs) using the Coastal and Marine Ecosystem Classification Standard (CMECS). Each distinct CSU is a segment with a unique combination of the classes of values of the ten ecological settings variables. The 4 million segments were also clustered into a set of 16 global groups of coastlines which are similar in the aggregate ecological setting described by the ten variables.\n\n\n\nThe complete set of methodological details and results from the global coastline segmentation analysis are available in Sayre et al. (2021).\n\n\n\nThe geospatial linework used for the global segmentation, classification, and clustering is the same Global Shoreline Vector (GSV) data used in the companion tool we developed for exploring the location, shape and size, and name of the islands of the planet. The derivation of the GSV from 30 m spatial resolution satellite imagery is described in Sayre et al. (2018).\n\n\n\nSayre, R., K. Butler, K. VanGraafeiland, S. Breyer, D. Wright, C. Frye, D. Karagulle, M. Martin, J. Cress, T. Allen, R. Allee, R. Parsons, B. Nyberg, M. Costello, F. Muller-Karger, and P. Harris. 2021. Earth\u2019s Coastlines. In Wright, D. and C. Harder (eds), GIS For Science \u2013 Volume 3. Esri Press, Redlands, California.\n\n\n\nSayre, R., S. Noble, S. Hamann, R. Smith, D. Wright, S. Breyer, K. Butler, K. Van Graafeiland, C. Frye, D. Karagulle, D. Hopkins, D. Stephens, K. Kelly, Z, basher, D. Burton, J. Cress, K. Atkins, D. van Sistine, B. Friesen, B. Allee, T. Allen, P. Aniello, I Asaad, M. Costello, K. Goodin, P. Harris, M. Kavanaugh, H. Lillis, E. Manca, F. Muller-Karger, B. Nyberg, R. Parsons, J. Saarinen, J. Steiner, and A. Reed. 2018. A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized global ecological coastal units. Journal of Operational Oceanography \u2013 A Special Blue Planet Edition. DOI:10.1080/1755876X.2018.1529714.",
 "copyrightText": "USGS, Esri, MBON",
 "supportsDynamicLayers": true,
 "layers": [
  {
   "id": 0,
   "name": "Ecological Coastal Units",
   "parentLayerId": -1,
   "defaultVisibility": true,
   "subLayerIds": null,
   "minScale": 19000000,
   "maxScale": 0,
   "type": "Feature Layer",
   "geometryType": "esriGeometryPolyline",
   "supportsDynamicLegends": true
  }
 ],
 "tables": [],
 "spatialReference": {
  "wkid": 4326,
  "latestWkid": 4326,
  "xyTolerance": 8.983152841195215E-9,
  "zTolerance": 0.001,
  "mTolerance": 0.001,
  "falseX": -400,
  "falseY": -400,
  "xyUnits": 1.125899906842624E13,
  "falseZ": -100000,
  "zUnits": 10000,
  "falseM": -100000,
  "mUnits": 10000
 },
 "singleFusedMapCache": false,
 "initialExtent": {
  "xmin": -119.79728099700185,
  "ymin": 14.822817327224968,
  "xmax": -106.18488959845925,
  "ymax": 30.450271389488833,
  "spatialReference": {
   "wkid": 4326,
   "latestWkid": 4326,
   "xyTolerance": 8.983152841195215E-9,
   "zTolerance": 0.001,
   "mTolerance": 0.001,
   "falseX": -400,
   "falseY": -400,
   "xyUnits": 1.125899906842624E13,
   "falseZ": -100000,
   "zUnits": 10000,
   "falseM": -100000,
   "mUnits": 10000
  }
 },
 "fullExtent": {
  "xmin": -179.99983001099997,
  "ymin": -60.78413125099996,
  "xmax": 179.9999676750001,
  "ymax": 83.66625409000005,
  "spatialReference": {
   "wkid": 4326,
   "latestWkid": 4326,
   "xyTolerance": 8.983152841195215E-9,
   "zTolerance": 0.001,
   "mTolerance": 0.001,
   "falseX": -400,
   "falseY": -400,
   "xyUnits": 1.125899906842624E13,
   "falseZ": -100000,
   "zUnits": 10000,
   "falseM": -100000,
   "mUnits": 10000
  }
 },
 "datesInUnknownTimezone": false,
 "minScale": 19000000,
 "maxScale": 0,
 "units": "esriDecimalDegrees",
 "supportedImageFormatTypes": "PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP",
 "documentInfo": {
  "Title": "",
  "Author": "",
  "Comments": "This resource was developed by the U.S. Geological Survey (USGS) in partnership with Esri and the Marine Biodiversity Observation Network (MBON). The underlying data are 4 million 1 km or shorter coastal segments, each of which is attributed with values from ten ecological settings variables representing the adjacent ocean, the adjacent land, and the coastline itself.\n\n\n\nThe 4 million coastal segments were classified into 81,000 coastal segment units (CSUs) using the Coastal and Marine Ecosystem Classification Standard (CMECS). Each distinct CSU is a segment with a unique combination of the classes of values of the ten ecological settings variables. The 4 million segments were also clustered into a set of 16 global groups of coastlines which are similar in the aggregate ecological setting described by the ten variables.\n\n\n\nThe complete set of methodological details and results from the global coastline segmentation analysis are available in Sayre et al. (2021).\n\n\n\nThe geospatial linework used for the global segmentation, classification, and clustering is the same Global Shoreline Vector (GSV) data used in the companion tool we developed for exploring the location, shape and size, and name of the islands of the planet. The derivation of the GSV from 30 m spatial resolution satellite imagery is described in Sayre et al. (2018).\n\n\n\nSayre, R., K. Butler, K. VanGraafeiland, S. Breyer, D. Wright, C. Frye, D. Karagulle, M. Martin, J. Cress, T. Allen, R. Allee, R. Parsons, B. Nyberg, M. Costello, F. Muller-Karger, and P. Harris. 2021. Earth\u2019s Coastlines. In Wright, D. and C. Harder (eds), GIS For Science \u2013 Volume 3. Esri Press, Redlands, California.\n\n\n\nSayre, R., S. Noble, S. Hamann, R. Smith, D. Wright, S. Breyer, K. Butler, K. Van Graafeiland, C. Frye, D. Karagulle, D. Hopkins, D. Stephens, K. Kelly, Z, basher, D. Burton, J. Cress, K. Atkins, D. van Sistine, B. Friesen, B. Allee, T. Allen, P. Aniello, I Asaad, M. Costello, K. Goodin, P. Harris, M. Kavanaugh, H. Lillis, E. Manca, F. Muller-Karger, B. Nyberg, R. Parsons, J. Saarinen, J. Steiner, and A. Reed. 2018. A new 30 meter resolution global shoreline vector and associated global islands database for the development of standardized global ecological coastal units. Journal of Operational Oceanography \u2013 A Special Blue Planet Edition. DOI:10.1080/1755876X.2018.1529714.",
  "Subject": "Global Ecological Coastal Unit (ECU) data as a result of collaboration between USGS, Esri and MBON.",
  "Category": "",
  "Version": "3.1.0",
  "AntialiasingMode": "Fast",
  "TextAntialiasingMode": "Force",
  "Keywords": "global coastlines,coastlines"
 },
 "capabilities": "Map,Query,Data",
 "supportedQueryFormats": "JSON, geoJSON, PBF",
 "exportTilesAllowed": false,
 "referenceScale": 0.0,
 "supportsDatumTransformation": true,
 "archivingInfo": {"supportsHistoricMoment": false},
 "supportsClipping": true,
 "supportsSpatialFilter": true,
 "supportsTimeRelation": true,
 "supportsQueryDataElements": true,
 "mapUnits": {"uwkid": 9102},
 "maxRecordCount": 2000,
 "maxImageHeight": 4096,
 "maxImageWidth": 4096,
 "supportedExtensions": ""
}