20170523
11494500
1.0
Item Description
FALSE
InverseOpenSpace
002
923449.640891
960870.287178
2726097.970306
2750795.034101
1
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_Massachusetts_Mainland_FIPS_2001_Feet
<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/3.1.0'><WKT>PROJCS["NAD_1983_StatePlane_Massachusetts_Mainland_FIPS_2001_Feet",GEOGCS["GCS_North_American_1983",DATUM["D_North_American_1983",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Lambert_Conformal_Conic"],PARAMETER["False_Easting",656166.6666666665],PARAMETER["False_Northing",2460625.0],PARAMETER["Central_Meridian",-71.5],PARAMETER["Standard_Parallel_1",41.71666666666667],PARAMETER["Standard_Parallel_2",42.68333333333333],PARAMETER["Latitude_Of_Origin",41.0],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2249]]</WKT><XOrigin>-119851500</XOrigin><YOrigin>-94498200</YOrigin><XYScale>3048.0060960121928</XYScale><ZOrigin>-100000</ZOrigin><ZScale>10000</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.0032808333333333331</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102686</WKID><LatestWKID>2249</LatestWKID></ProjectedCoordinateSystem>
20231019
09545100
20231019
09545100
150000000
5000
ItemDescription
Esri ArcGIS 13.1.3.41833
InverseOpenSpace
1
-70.520882
-70.382631
41.792081
41.723049
Inverse of open space in the Sandwich floodplain. Created by copying floodplain to a new layer, then clipping out all open spaces.
<DIV STYLE="text-align:Left;"><DIV><P><SPAN STYLE="font-style:italic;">05/10/2017: 1226.75 AC</SPAN></P></DIV></DIV>
MassGIS, Sandwich GIS, 2006 Open Space and Recreation Plan
File Geodatabase Feature Class
dataset
EPSG
5.3(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
InverseOpenSpace
Feature Class
0
OBJECTID
OBJECTID
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.
PARCEL_ID
PARCEL_ID
String
18
0
0
LOC_ID
LOC_ID
String
20
0
0
CRS_ID
CRS_ID
Integer
4
0
0
SITE_NAME
SITE_NAME
String
75
0
0
OWNER
OWNER
String
50
0
0
OWNER_TYPE
OWNER_TYPE
String
25
0
0
PRIMARY_PURPOSE
PRIMARY_PURPOSE
String
50
0
0
BOOK_PAGE
BOOK_PAGE
String
25
0
0
CERTIFICATE
CERTIFICATE
String
15
0
0
DEED_RESTRICTED
DEED_RESTRICTED
String
15
0
0
DEED_COMMENTS
DEED_COMMENTS
String
75
0
0
GIS_ACRES
GIS_ACRES
Double
8
0
0
NATURAL_STATE
NATURAL_STATE
String
15
0
0
COMMENTS
COMMENTS
String
250
0
0
OPENSPACE_TYPE
OPENSPACE_TYPE
String
50
0
0
DATA_SOURCE
DATA_SOURCE
String
50
0
0
NFOS3
NFOS3
String
50
0
0
CONSERVATION_RESTRICTION
CONSERVATION_RESTRICTION
String
50
0
0
Acts_Articles_Laws
Acts_Articles_Laws
String
50
0
0
SHAPE_Length
Shape_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
SHAPE_Area
Shape_Area
Double
8
0
0
Area of feature in internal units squared.
Esri
Positive real numbers that are automatically generated.
20231019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