<?xml version="1.0" encoding="UTF-8" standalone="no"?><metadata xml:lang="en">
<Esri>
<CreaDate>20170208</CreaDate>
<CreaTime>13324700</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<ArcGISstyle>North American Profile of ISO19115 2003</ArcGISstyle>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Data was provided by the Massachusetts Division of Marine Fisheries (DMF).  Data was collected during the bi-annual (Spring and Fall)  Resource Survey from 1978-2016.  DMF provided the following information for every trawl: latitude, longitude, cruise number, stratum, trawling station, set dept, date of trawl, bottom temperature, number of each specie collected in net, weight of each specie. Latitude, longitude, and number of each specie collected in net data was used to create this visual. 


Separate data sets were made for spring data (green) and fall data (blue).  Each dataset identifies the number of Scup caught during each trawl (3781 data points in the Spring, 3450 data points in the Fall) and the location of each trawl.  To effectively interpolate using Natural Neighbor and to show areas that were “Not Surveyed”, shapefile points were created along the Massachusetts border, around the Martha’s Vineyard and Nantucket border, and outside the extent of the DMF trawl.  Not surveyed data points (n=311) were assigned the value, NUMi, of 0.  Trawl data points where no Scup were caught received the value of 0.1 (NUMi=0.1).  All other data points where Scup were caught kept their value as the number of Scup caught.  Natural Neighbor Interpolation Tool was then used for all these data points according to "NUMi" category. The interpolated data can be found in "Spring Scup" and "Fall Scup"

Displayed interpolated categories were created by giving "Not Surveyed" (NUMi=0, 311 data points) and "Absent" Scup (NUMi=0.1, no Scup presence), their own category. Then, remaining data points were binned into the following categories based on the aggregation behavior of the species:
Absent=0 Scup
Low=1-100 Scup
Medium=101-500 Scup
High=501-1000 Scup
Very High=1000-61,925 Scup
</idAbs>
<searchKeys>
<keyword>Scup</keyword>
<keyword>Fisheries</keyword>
<keyword>New England</keyword>
<keyword>North Atlantic</keyword>
<keyword>Trawl</keyword>
<keyword>Resource Survey</keyword>
<keyword>Coastal Fish</keyword>
<keyword>Climate Change</keyword>
</searchKeys>
<idPurp>The estimated presence/absence of Scup according to data collected by the MA Division of Marine Fisheries Resource Survey, 1978-2016</idPurp>
<idCredit>Amanda Davis and Dr. Michelle Staudinger of the Northeast Climate Science Center (NE CSC) and Brad Chase of  Massachusetts Division of Marine Fisheries (MA DMF)</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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</Data>
</Thumbnail>
</Binary>
</metadata>