20221101
10034600
1.0
FALSE
CreateFeatureclass C:\Ddrive\DataRequest\Council_FKNMS\Council_FKNMS_ArcGIS\Council_FKNMS_ArcGIS.gdb\Albers Hex16k Polygon # No No "PROJCS["NAD 1983 (2011) USA Gulf Albers",GEOGCS["GCS_NAD_1983_2011",DATUM["D_NAD_1983_2011",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-89.6],PARAMETER["Standard_Parallel_1",25.3],PARAMETER["Standard_Parallel_2",29.6],PARAMETER["Latitude_Of_Origin",27.45],UNIT["Meter",1.0]];-20048700 -7915700 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision" # 0 0 0 #
AddField C:\Ddrive\DataRequest\Council_FKNMS\Council_FKNMS_ArcGIS\Council_FKNMS_ArcGIS.gdb\Albers\Hex16k GRID_ID Text # # 12 # NULLABLE NON_REQUIRED #
GenerateTessellation C:\Ddrive\DataRequest\Council_FKNMS\Council_FKNMS_ArcGIS\Council_FKNMS_ArcGIS.gdb\Albers\Hex16k "-805284.0317 -384457.9544 994645.608199999 382632.6996 PROJCS["NAD 1983 (2011) USA Gulf Albers",GEOGCS["GCS_NAD_1983_2011",DATUM["D_NAD_1983_2011",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-89.6],PARAMETER["Standard_Parallel_1",25.3],PARAMETER["Standard_Parallel_2",29.6],PARAMETER["Latitude_Of_Origin",27.45],UNIT["Meter",1.0]]" Hexagon "16.24 SquareKilometers" "PROJCS["NAD 1983 (2011) USA Gulf Albers",GEOGCS["GCS_NAD_1983_2011",DATUM["D_NAD_1983_2011",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-89.6],PARAMETER["Standard_Parallel_1",25.3],PARAMETER["Standard_Parallel_2",29.6],PARAMETER["Latitude_Of_Origin",27.45],UNIT["Meter",1.0]];-20048700 -7915700 10000;-100000 10000;-100000 10000;0.001;0.001;0.001;IsHighPrecision"
ExportFeatures Hex16k C:\Ddrive\DataRequest\Council_FKNMS\Council_FKNMS_ArcGIS\Council_FKNMS_ArcGIS.gdb\Albers\Hex16k_Gulf_1km # NOT_USE_ALIAS "Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Hex16k,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Hex16k,Shape_Area,-1,-1;GRID_ID "GRID_ID" true true false 12 Text 0 0,First,#,Hex16k,GRID_ID,0,12" #
ExportFeatures Hex16k_Gulf_1km C:\Ddrive\DataRequest\Council_FKNMS\Council_FKNMS_ArcGIS\Council_FKNMS_ArcGIS.gdb\Albers\Hex16k_Gulf_1km_SumStat4 # NOT_USE_ALIAS "GRID_ID "GRID_ID" true true false 12 Text 0 0,First,#,Hex16k_Gulf_1km,GRID_ID,0,12;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Hex16k_Gulf_1km,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Hex16k_Gulf_1km,Shape_Area,-1,-1" #
ExportFeatures Hex16k_Gulf_1km_SumStat4 C:\Ddrive\DataRequest\Council_FKNMS\Council_FKNMS_ArcGIS\Council_FKNMS_ArcGIS.gdb\Albers\Hex16k_Gulf_1km_SumStat_join # NOT_USE_ALIAS "GRID_ID "GRID_ID" true true false 12 Text 0 0,First,#,Hex16k_Gulf_1km_SumStat4,Hex16k_Gulf_1km_SumStat4.GRID_ID,0,12;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Hex16k_Gulf_1km_SumStat4,Hex16k_Gulf_1km_SumStat4.Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Hex16k_Gulf_1km_SumStat4,Hex16k_Gulf_1km_SumStat4.Shape_Area,-1,-1;OBJECTID_1 "OBJECTID_1" false true false 4 Long 0 9,First,#,Hex16k_Gulf_1km_SumStat4,eff_2018_2019_20__SumStat4.OBJECTID_1,-1,-1;GRID_ID "GRID_ID" true true false 12 Text 0 0,First,#,Hex16k_Gulf_1km_SumStat4,eff_2018_2019_20__SumStat4.GRID_ID,0,12;Vessel_Count "Vessel_Count" true true false 4 Long 0 0,First,#,Hex16k_Gulf_1km_SumStat4,eff_2018_2019_20__SumStat4.Vessel_Count,-1,-1;SUM_FREQUENCY "SUM_FREQUENCY" true true false 8 Double 0 0,First,#,Hex16k_Gulf_1km_SumStat4,eff_2018_2019_20__SumStat4.SUM_FREQUENCY,-1,-1;OBJECTID "OBJECTID" true true false 4 Long 0 0,First,#,Hex16k_Gulf_1km_SumStat4,eff_2018_2019_20__SumStat4.OBJECTID,-1,-1;GRID_ID_1 "GRID_ID" true true false 12 Text 0 0,First,#,Hex16k_Gulf_1km_SumStat4,eff_2018_2019_20__SumStat4.GRID_ID_1,0,12;FREQUENCY "FREQUENCY" true true false 4 Long 0 0,First,#,Hex16k_Gulf_1km_SumStat4,eff_2018_2019_20__SumStat4.FREQUENCY,-1,-1;SUM_hours_eff "SUM_hours_eff" true true false 8 Double 0 0,First,#,Hex16k_Gulf_1km_SumStat4,eff_2018_2019_20__SumStat4.SUM_hours_eff,-1,-1" #
DeleteField Hex16k_Gulf_1km_SumStat_join OBJECTID_1;GRID_ID_1;OBJECTID;GRID_ID_12 "Delete Fields"
DeleteField Hex16k_Gulf_1km_SumStat_join SUM_FREQUENCY "Delete Fields"
AlterField Hex16k_Gulf_1km_SumStat_join Vessel_Count VesselCnt VesselCount "Long (32-bit integer)" 4 NULLABLE DO_NOT_CLEAR
AlterField Hex16k_Gulf_1km_SumStat_join SUM_hours_eff HrsFished HoursFished "Double (64-bit floating point)" 8 NULLABLE DO_NOT_CLEAR
ExportFeatures Hex16k_Gulf_1km_SumStat_join C:\Ddrive\DataRequest\Council_FKNMS\ShrimpEffort_2018_2019_2020.shp # NOT_USE_ALIAS "GRID_ID "GRID_ID" true true false 12 Text 0 0,First,#,Hex16k_Gulf_1km_SumStat_join,GRID_ID,0,12;VesselCnt "VesselCount" true true false 4 Long 0 0,First,#,Hex16k_Gulf_1km_SumStat_join,VesselCnt,-1,-1;FREQUENCY "FREQUENCY" true true false 4 Long 0 0,First,#,Hex16k_Gulf_1km_SumStat_join,FREQUENCY,-1,-1;HrsFished "HoursFished" true true false 8 Double 0 0,First,#,Hex16k_Gulf_1km_SumStat_join,HrsFished,-1,-1;Shape_Length "Shape_Length" false true true 8 Double 0 0,First,#,Hex16k_Gulf_1km_SumStat_join,Shape_Length,-1,-1;Shape_Area "Shape_Area" false true true 8 Double 0 0,First,#,Hex16k_Gulf_1km_SumStat_join,Shape_Area,-1,-1" #
ExportFeatures "ShrimpELB_Agg_2018-2020 selection" U:\Documents\CoralProject\ShrimpELB\ShrimpELB_2018_2020\ShrimpELB__NC_2018_2020_Keys.shp # NOT_USE_ALIAS "GRID_ID "GRID_ID" true true false 12 Text 0 0,First,#,ShrimpELB_Agg_2018-2020 selection,GRID_ID,0,12;VesselCnt "VesselCnt" true true false 10 Long 0 10,First,#,ShrimpELB_Agg_2018-2020 selection,VesselCnt,-1,-1;FREQUENCY "FREQUENCY" true true false 10 Long 0 10,First,#,ShrimpELB_Agg_2018-2020 selection,FREQUENCY,-1,-1;HrsFished "HrsFished" true true false 19 Double 0 0,First,#,ShrimpELB_Agg_2018-2020 selection,HrsFished,-1,-1;Shape_Leng "Shape_Leng" true true false 19 Double 0 0,First,#,ShrimpELB_Agg_2018-2020 selection,Shape_Leng,-1,-1;Shape_Area "Shape_Area" true true false 19 Double 0 0,First,#,ShrimpELB_Agg_2018-2020 selection,Shape_Area,-1,-1" #
ShrimpELB__NC_2018_2020_Keys
002
file://\\GMFMC-FILE\USERS\Basher\Documents\CoralProject\ShrimpELB\ShrimpELB_2018_2020\ShrimpELB__NC_2018_2020_Keys.shp
Local Area Network
0.000
Projected
GCS_NAD_1983_2011
Linear Unit: Meter (1.000000)
NAD 1983 (2011) USA Gulf Albers
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.0.0'><WKT>PROJCS["NAD 1983 (2011) USA Gulf Albers",GEOGCS["GCS_NAD_1983_2011",DATUM["D_NAD_1983_2011",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-89.6],PARAMETER["Standard_Parallel_1",25.3],PARAMETER["Standard_Parallel_2",29.6],PARAMETER["Latitude_Of_Origin",27.45],UNIT["Meter",1.0]]</WKT><XOrigin>-20048700</XOrigin><YOrigin>-7915700</YOrigin><XYScale>224633000.0134919</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision></ProjectedCoordinateSystem>
20221101
14214800
20221101
14214800
XTools Pro Metadata
Microsoft Windows 10 Version 10.0 (Build 19044) ; Esri ArcGIS 13.0.2.36056
ShrimpELB_NC_2018_2020_Keys
ShrimpELB
Fishing Hours
Fishing
Shrimp
Electronic Logbook
Shrimp ELB aggregated fishing hours per cell for the year 2018-2020. Records only includes effort in cell with 3 or more vessels fishing during the time period. This clipped version only has non confidential records around the Florida Keys NMS.
Shapefile
0.000
dataset
0
Simple
FALSE
0
FALSE
FALSE
ShrimpELB__NC_2018_2020_Keys
Feature Class
0
FID
FID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
Shape
Shape
Geometry
0
0
0
Feature geometry.
Esri
Coordinates defining the features.
GRID_ID
GRID_ID
String
12
0
0
VesselCnt
VesselCnt
Integer
10
10
0
FREQUENCY
FREQUENCY
Integer
10
10
0
HrsFished
HrsFished
Double
19
0
0
Shape_Leng
Shape_Leng
Double
19
0
0
Shape_Area
Shape_Area
Double
19
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20221101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