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These cells also typically had high oin totals for \u201cLake-bed surface type\u201d and \u201cSub-bottom geology\u201d, and was different than the other clusters as the only group with high coin totals in the \u201cFerrous object detections/magnetic anomalies\u201d category. Many of the rest of the Justifications and Map Products had very low values. Lastly, Cluster 4 had high coin totals in several categories. Justifications occurring together in this cluster were \u201cCultural/historical resources\u201d, \u201cImportant biota/natural area\u201d, and \u201cScientific research\u201d. Map Products requested together in this cluster were \u201cBathymetry/Digital Elevation Model\u201d, \u201cLake-bed surface type\u201d, and \u201cSub-bottom geology\u201d. This was the only cluster with even a moderate number of coins Justified based on \u201cCommercial Fishing\u201d and \u201cSport Fishing\u201d, and the only cluster with a large number of coins under the \u201cGround-truth data\u201d category of Map Products.", "geometryType": "esriGeometryPolygon", "sourceSpatialReference": { "wkid": 102100, "latestWkid": 3857, "xyTolerance": 0.001, "zTolerance": 0.001, "mTolerance": 0.001, "falseX": -20037700, "falseY": -30241100, "xyUnits": 10000, "falseZ": -100000, "zUnits": 10000, "falseM": -100000, "mUnits": 10000 }, "copyrightText": "NOAA/NOS/NCCOS/Marine Spatial Ecology", "parentLayer": null, "subLayers": [], "minScale": 0, "maxScale": 0, "referenceScale": 0.0, "drawingInfo": { "renderer": { "type": "uniqueValue", "field1": "Clusters", "uniqueValueInfos": [ { "symbol": { "type": "esriSFS", "style": "esriSFSSolid", "color": [ 255, 0, 0, 255 ], "outline": { "type": "esriSLS", "style": "esriSLSSolid", "color": [ 110, 110, 110, 255 ], "width": 0.4 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