FALSE
1.0
RoadCenterline
002
878802.349608
1084802.454314
2649632.700337
2856516.929415
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/3.4.0'><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]],VERTCS["NAVD88_height_(ftUS)",VDATUM["North_American_Vertical_Datum_1988"],PARAMETER["Vertical_Shift",0.0],PARAMETER["Direction",1.0],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",6360]]</WKT><XOrigin>-131834321.130385</XOrigin><YOrigin>-104188891.40182801</YOrigin><XYScale>3047.9937365604014</XYScale><ZOrigin>-100000</ZOrigin><ZScale>3048.0060960121918</ZScale><MOrigin>-100000</MOrigin><MScale>10000</MScale><XYTolerance>0.00328083333333333</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102686</WKID><LatestWKID>2249</LatestWKID><VCSWKID>105703</VCSWKID><LatestVCSWKID>6360</LatestVCSWKID></ProjectedCoordinateSystem>
20250423
14425400
20250423
14425400
20210627
11541400
500000
5000
ISO19139
Road segments representing centerlines of all roadways or carriageways in a local government. Typically, this information is compiled from orthoimagery or other aerial photography sources. This representation of the road centerlines support address geocoding and mapping. It also serves as a source for public works and other agencies that are responsible for the active management of the road network.About the 2020 data acquisition project:Update features in an existing planimetric dataset, and collect some new additional feature classes, from imagery acquired in the spring of 2020, with a horizontal positional accuracy that shall not exceed 0.38-meters NSSDA 95% confidence (0.22-meters Root Mean Squared (RMSE) Error XY (0.15-meter RMSE X or Y), suitable for 40-scale Planimetrics.Imagery Bands: 4-band (true color & near infrared) Acceptable Window: Spring 2020, generally thought to be from February 1, 2020 and continue through April 30, 2020. Acquisition Conditions: Leaf off, snow free, free from clouds, smoke, haze, light streaks, flooding (streams/rivers in banks), and excessive soil moisture. Sun angle: Greater than 35 degrees over entire project. Minimal shadows, generally between 10am and 2pm. Resolution: 7.5 cm Ground Sample Distance (pixel resolution)
Road Centerlines
Feature classes in the planimetrics ReferenceData feature dataset have not been identified by town name in their attribute tables. Feature classes may cross town boundaries. See use limitation.
X-Ray
Transportation
NaN
NaN
NaN
NaN
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.
AFEDRTE
Alternate Federal Route
String
10
0
0
The alternate federal route name
AFEDRTETYPE
Alternate Federal Route Type
String
20
0
0
A functional classification of federal route that can be used to further classify the route if different than the ROADCLASS
ASTRTE
Alternate State Route
String
10
0
0
The alternate state route name
ASTRTETYPE
Alternate State Route Type
String
20
0
0
A functional classification of route that can be used to symbolize the route if detail beyond what is provided in ROADCLASS is needed
CENTERLINEID
Centerline ID
String
20
0
0
A unique id for the road centerline segment
CTYROUTE
County Route
String
10
0
0
The county route name
ESNLEFT
ESN on Left
String
5
0
0
The ESN on left side of the road
ESNRIGHT
ESN on Right
String
5
0
0
The ESN on right side of the road
FEDROUTE
Federal Route
String
10
0
0
The federal route name
FEDRTETYPE
Federal Route Type
String
20
0
0
A functional classification of route that can be used to symbolize the route if detail beyond what is provided in ROADCLASS is needed
FROMLEFT
Left From Address
Integer
4
0
0
Lowest address range on left side of the road
FROMRIGHT
Right From Address
Integer
4
0
0
Lowest address range on right side of the road
FULLNAME
Full Road Name
String
125
0
0
The full name of the road including any prefix and/or suffix in mixed case format for Esri Community Map contributors
INWATER
In Water
String
5
0
0
A flag that indicates whether the segment of the road is crossing water
LASTEDITOR
Last Editor
String
50
0
0
The user who performed the last update
LASTUPDATE
Last Update Date
Date
8
0
0
The date the feature was last updated in the maintenance database
MAINTBY
Maintained By
SmallInteger
2
0
0
Indicates which organization maintains the asset
MSAGLEFT
MSAG on Left
String
35
0
0
The MSAG community on left side of the road
MSAGRIGHT
MSAG on Right
String
35
0
0
The MSAG community on right side of the road
MTFCC
Census MTFCC Code
String
5
0
0
The Census MAF/TIGER feature class code
MUNILEFT
Municipality on Left
String
100
0
0
Municipal name on left side of the road
MUNIRIGHT
Municipality on Right
String
100
0
0
Municipal name on right side of the road
ONEWAYDIR
One Way Indicator
String
10
0
0
A code that indicates whether the traffic flows with, or against, the direction of the vertices
OWNEDBY
Owned By
SmallInteger
2
0
0
Indicates which organization owns the asset
ROADCLASS
Road Class
String
20
0
0
Functional classification of roads based on type of service
ROADLEVEL
Above or Below Grade
Integer
4
0
0
A code that indicates whether the traveled roadway is above or below grade
STATELEFT
State on Left
String
2
0
0
State abbreviation on left side of the road
STATERIGHT
State on Right
String
2
0
0
State abbreviation on right side of the road
STROUTE
State Route
String
10
0
0
The state route name
STRTETYPE
State Route Type
String
20
0
0
A functional classification of route that can be used to symbolize the route if detail beyond what is provided in ROADCLASS is needed
TOLEFT
Left To Address
Integer
4
0
0
Highest address range on left side of the road
TORIGHT
Right To Address
Integer
4
0
0
Highest address range on right side of the road
ZIPLEFT
Zip on Left
String
5
0
0
Zip code on left side of the road
ZIPRIGHT
Zip on Right
String
5
0
0
Zip code on right side of the road
RoadCenterline
Feature Class
0
Status
Status
String
100
0
0
SHAPE_Length
SHAPE_Length
Double
8
0
0
Length of feature in internal units.
Esri
Positive real numbers that are automatically generated.
Esri ArcGIS 13.4.0.55405
RoadCenterline
1
-70.687094
-69.921076
42.083484
41.507887
Road Centerlines
Feature classes in the planimetrics ReferenceData feature dataset have not been identified by town name in their attribute tables. Feature classes may cross town boundaries. See use limitation.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Road segments representing centerlines of all roadways or carriageways in a local government. Typically, this information is compiled from orthoimagery or other aerial photography sources. This representation of the road centerlines support address geocoding and mapping. It also serves as a source for public works and other agencies that are responsible for the active management of the road network.</SPAN></P><P><SPAN>About the 2020 data acquisition project:</SPAN></P><P><SPAN>Update features in an existing planimetric dataset, and collect some new additional feature classes, from imagery acquired in the spring of 2020, with a horizontal positional accuracy that shall not exceed 0.38-meters NSSDA 95% confidence (0.22-meters Root Mean Squared (RMSE) Error XY (0.15-meter RMSE X or Y), suitable for 40-scale Planimetrics.</SPAN></P><P><SPAN>Imagery Bands: 4-band (true color & near infrared) </SPAN></P><P><SPAN>Acceptable Window: Spring 2020, generally thought to be from February 1, 2020 and continue through April 30, 2020. </SPAN></P><P><SPAN>Acquisition Conditions: Leaf off, snow free, free from clouds, smoke, haze, light streaks, flooding (streams/rivers in banks), and excessive soil moisture. </SPAN></P><P><SPAN>Sun angle: Greater than 35 degrees over entire project. Minimal shadows, generally between 10am and 2pm. </SPAN></P><P><SPAN>Resolution: 7.5 cm Ground Sample Distance (pixel resolution)</SPAN></P></DIV></DIV></DIV>
Cape Cod Commission funded project completed by Quantum Spatial, Inc. starting in 2020.
Based on Spring 2020 aerial photography.
Transportation
road
centerline
Cape Cod
planimetrics
2020
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Publicly available information</SPAN></P><DIV><DIV><P><SPAN>Feature classes in the planimetrics ReferenceData feature dataset have not been identified by town name in their attribute tables. Feature classes may cross town boundaries. The user should be aware of this and may desire to isolate features or identify the part that is inside a specific town boundary through use of additional geoprocesses such as clip, union, spatial join, or others.</SPAN></P></DIV></DIV><P><SPAN /></P></DIV></DIV></DIV>
File Geodatabase Feature Class
dataset
EPSG
5.3(9.0.0)
0
Simple
FALSE
0
TRUE
FALSE
20250423
Anne Reynolds
Cape Cod Commission
GIS Director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