20260722
13594200
1.0
FALSE
Roads_Intersection
002
6151036.999968
6613420.622115
1775474.999888
2128020.373208
1
Projected
GCS_North_American_1983
Linear Unit: Foot_US (0.304801)
NAD_1983_StatePlane_California_VI_FIPS_0406_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/3.5.0'><WKT>PROJCS["NAD_1983_StatePlane_California_VI_FIPS_0406_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",6561666.666666666],PARAMETER["False_Northing",1640416.666666667],PARAMETER["Central_Meridian",-116.25],PARAMETER["Standard_Parallel_1",32.78333333333333],PARAMETER["Standard_Parallel_2",33.88333333333333],PARAMETER["Latitude_Of_Origin",32.16666666666666],UNIT["Foot_US",0.3048006096012192],AUTHORITY["EPSG",2230]]</WKT><XOrigin>-118608900</XOrigin><YOrigin>-91259500</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>102646</WKID><LatestWKID>2230</LatestWKID></ProjectedCoordinateSystem>
20260706
15390700
20260706
15390700
150000000
5000
dataset
20260706
ArcGIS Metadata
1.0
File Geodatabase Feature Class
SanGIS
(858) 874-7000
5500 Overland Ave, Suite 310
San Diego
California
92123
US
webmaster@sangis.org
8:00 AM - 4 PM Monday thru Friday
Data Librarian
Data Librarian
SanGIS
Operations Manager
Data can be downloaded in multiple formats (FileGDB, Shapefile, CSV, GeoJSON and JSON) from the SanGIS Data Warehouse at https://gis-sangis1.hub.arcgis.com/pages/download-data
Refer to SanGIS website (www.sangis.org) to obtain further information on mapping and data extraction services available from SanGIS.
ROADS_INTERSECTION
vector digital data
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset consists of points representing intersection nodes at the end of individual road segments in the SanGIS ROADS_ALL layer (and derivative road layers). This feature class is linked to the SanGIS road layers via the intersection ID (INTERID) field. Key attributes of this dataset include intersection ID and intersection type of which there are 13 types (e.g. cul-de-sac, end segment and intersection). Further details of individual fields are included in field definitions below. </SPAN></P><P><SPAN>Points are located at the end of each road segment. SanGIS road centerlines are broken into segments between intersection points. Intersections are created whenever two roads come together and at other locations as determined by SanGIS standards of practice. These additional locations include places where the road name changes, where a road traverses a jurisidictional boundary, in certain cases where a road goes from one police beat to another, and at other places as defined by the TYPE attribute.</SPAN></P></DIV></DIV></DIV>
This dataset consists of points which represent intersection nodes at the end of individual road segments in the SanGIS ROADS_ALL layer.
SanGIS with assistance from SanGIS JPA member users.
Intersection, road intersection, streets, nodes
Intersection
road intersection points
San Diego County
street intersection
<DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 0 0;"><SPAN STYLE="font-size:12pt">Data is generalized and created for use in regional projects. </SPAN><SPAN><SPAN>Please refer to SanGIS data end user use agreement and disclaimer which is available on the SanGIS website (</SPAN></SPAN><A href="http://www.sangis.org" STYLE="text-decoration:underline;"><SPAN><SPAN>www.sangis.org</SPAN></SPAN></A><SPAN><SPAN>).</SPAN></SPAN></P><P /><P STYLE="margin:0 0 0 0;"><SPAN /></P><P><SPAN /></P></DIV></DIV></DIV>
The spatial extent of this dataset is San Diego County. The temporal extent is variable.
Date published from SanGIS edit environment.
2026-07-04T00:00:00
0.000000
0.000000
Please acknowledge SanGIS as a source when SanGIS data are used in the preparation of reports, papers, publications, maps, and other products.
Esri ArcGIS 13.5.5.57366
California, County of San Diego, Carlsbad, Coronado, Chula Vista, Del Mar, El Cajon, Encinitas, Escondido, Imperial Beach, Lemon Grove, La Mesa, National City, Oceanside, Poway, San Diego, San Marcos, Solana Beach, Santee, Vista
SanGIS
(858) 874-7000
5500 Overland Ave, Suite 310
San Diego
California
92123
US
webmaster@sangis.org
Operations Manager
Operations Manager
SanGIS
1
-117.597016
-116.080219
33.506772
32.530640
2014-10-01T00:00:00
+/- 10 Feet
130555
EPSG
5.3(9.0.0)
Roads_Intersection
Feature Class
130555
Road intersection points for Roads in the County of San Diego
SanGIS
OBJECTID
OBJECTID
OID
4
0
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
INTERID
Intersection ID. Unique node identifier.
Key field to link to TNODE and FNODE in road layers.
SanGIS
interid
Integer
4
0
0
Shape
Feature geometry shape (multipoint, polyline, or polygon)
ESRI
Coordinates defining the features.
Shape
Geometry
0
0
0
GlobalID
GlobalID
GlobalID
38
0
0
created_user
created_user
String
255
0
0
created_date
created_date
Date
8
0
0
last_edited_user
POSTID
String
255
0
0
last_edited_date
POSTDATE
Date
8
0
0
XCOORD
XCOORD
Double
8
0
0
YCOORD
YCOORD
Double
8
0
0
TYPE
Intersection type code. Code defines why the road segment is terminated at that point
Code, Description
B, Police law beat change
C, Cul-de-sac end point
D, Fire driveability attribute change
E, End of road
I, "Normal" Intersection of 3 or more segments
J, Jurisdiction boundary change (City/Muni only)
N, Road Name Changes
P, Pseudo (Under/over crossings) R, Under Review (Type not yet verified)
Q, Undocumented roads only (Dispatch agency use only)
T, Census Tract change
X, Multiple types of changes
Z, Fire Demand Zone change (City of San Diego use only)
SanGIS
TYPE
String
1
0
0
Road intersection nodes are identified by the Intersection Identifier field - INTERID. The INTERID links to the TNODE and FNODE fields in the SanGIS ROADS_ALL layer (and derivative road layers). The TYPE field identifies the intersection type. There are 13 types including intersection, cul-de-sac and end segment. TYPE provides the key to understanding why the road segment was terminated at that specific point.
None currently available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Simple
FALSE
130555
TRUE
FALSE