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Layer: City Boundary (1)

Name: City Boundary

Display Field: NAME

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>A geographic representation of the municipal boundaries updated by SanGIS when notified by LAFCO of a recorded annexation or detachment. The revised layer is published as needed once changes are made and verified. Adjustments are also made to this dataset from ongoing landbase maintenance activities.</SPAN></P><P><SPAN>SanGIS will add individual polygons for annexations to a municipal jurisdiction but will not maintain a separate polygon for the agency losing territory. That is, a polygon will be created for the "gain" but the "loss" will be reflected only by modifying the existing boundary. </SPAN></P><P><SPAN>On an annual basis, SanGIS will reconcile the JUR_MUNICIPAL layer with the JUR_MUNICIPAL_ASR layer developed by the Assessor. This will happen when the Assessor publishes the annual TRA updates. SanGIS will accept the Assessor layer as is and use it as the basis for new annexations/detachments going forward. Individual polygons that have been created in the past year will be incorporated into the municipal boundary as shown on the Assessor's TRA updates. </SPAN></P><P><SPAN>NOTE: The County Assessor's Office JUR_MUNICIPAL_ASR layer is the official Municipal Boundary layer; however, it is created for tax purposes and is only updated on an annual basis as required by state law.</SPAN></P></DIV></DIV></DIV>

Service Item Id: e1448789d21347209eab074deb33dbd1

Copyright Text: County Assessor, SanGIS, San Diego Local Agency Formation Commission (LAFCO)

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Layer: City Comments (16)

Name: City Comments

Display Field: Comment

Type: Feature Layer

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Layer: Safety Corridor Network (18)

Name: Safety Corridor Network

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Type: Feature Layer

Geometry Type: esriGeometryPolyline

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Layer: New Speed Limits (22)

Name: New Speed Limits

Display Field: RoadName

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Layer: Existing Speed Limits (24)

Name: Existing Speed Limits

Display Field: Street

Type: Feature Layer

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Layer: Sidewalks (19)

Name: Sidewalks

Display Field: FUNCLASS

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Layer: Bikeways (2)

Name: Bikeways

Display Field: road_name

Type: Feature Layer

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P STYLE="margin:0 0 11 0;"><SPAN>The iBikeMap service displays the five classes of bike facilities present in the San Diego region’s roadways. These classifications are based off of the California Bicycle Transportation Act and are the following: Class 1- Multi-use paths, which provide a completely separated right-of-way designated for the exclusive use of bicycles and pedestrians with crossflows by motorists minimized. Class 2- Bike Lanes, which provide a restricted right-of-way designated for the exclusive or semi-exclusive use of bicycles with through travel by motor vehicles or pedestrians prohibited, but with vehicle parking and crossflows by pedestrians and motorists permitted. Class 3- Bike Route, which provide a right-of-way on-street or off-street, designated by signs or permanent markings and shared with pedestrians and motorists. Class 4-Separated Bikeways/Cycle Tracks, which promote active transportation and provide a right-of-way designated exclusively for bicycle travel adjacent to a roadway and which are separated from vehicular traffic. Types of separation include, but are not limited to, grade separation, flexible posts, inflexible physical barriers, or on-street parking. Class 5- Bicycle Boulevards, which do not provide separation from vehicular traffic but do implement features like traffic calming to lower motorized-traffic volumes, speeds, and give bicycle travel priority.</SPAN></P><P><SPAN /></P></DIV></DIV></DIV>

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Copyright Text: SANDAG; SanGIS;

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Layer: Schools (3)

Name: Schools

Display Field: name

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>School site addresses maintained by California Department of Education (CDE) were geocoded to the SanGIS parcels and street centerlines. Using aerial imagery, online research, site visits, and/or over-the-phone verification, attributes were corrected and/or polygons were adjusted to best represent the portion of the parcel in active use for school-related activities.</SPAN></P></DIV></DIV></DIV>

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Copyright Text: SANDAG California Department of Education (CDE)

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Layer: Transit Stops (4)

Name: Transit Stops

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>Public transit stops in San Diego County serviced by the San Diego County Metropolitan Transit System (MTS) and the North County Transit District (NCTD). </SPAN></P><P><SPAN>Bus, commuter and light rail, and trolley stops developed from the General Transit Feed Specification (GTFS) downloaded from https://www.sdmts.com/google_transit_files/google_transit.zip and http://www.gonctd.com/google_transit.zip.</SPAN></P><P><SPAN>GTFS data is provided to the exchange by the transit agencies and processed by SanGIS to create a consolidated GIS layer containing stops for both MTS and NCTD systems. SanGIS uses built-in ArcGIS tools to develop the stops from the STOPS.txt data file.</SPAN></P><P><SPAN>Stops layers for MTS and NCTD are created separately and combined into a single layer using ArcGIS tools.</SPAN></P></DIV></DIV></DIV>

Service Item Id: e1448789d21347209eab074deb33dbd1

Copyright Text: SanGIS using information provided by the San Diego Metropolitan Transit System and the North County Transit District

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Layer: SANDAG Mobility Hubs (13)

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Layer: Areas of Community Significance (5)

Name: Areas of Community Significance

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>Point layer to show the location of areas and specific features such as buildings, mile markers, and mountain tops </SPAN></SPAN></P><P><SPAN><SPAN>Originally, five layers of place data were combined into a single layer; those of: PLACES (Was SANGIS.PLACES renamed PLACES_OLD); SHERIFF_PLACE_NAMES (Sheriff's place name file for dispatch);PLACES_SG SANDAG Places layer; PLACE_NAMES (Geographic Names Information System /GNIS, assumed); PLACES_CASINOS Casinos.</SPAN></SPAN></P><P><SPAN><SPAN>In PLACES_CASINOS fields were added named ADDR and CITYNM and calculated equal to existing fields ADDRESS and CITY to facilitate the appending process.</SPAN></SPAN></P><P><SPAN><SPAN>PLACES and PLACES_SG initially contained MULTIPOINT features; TOOLBOX Feature to Point was used to make the features POINT. The working layers were then called PLACES_SG_FeatureToPoint and PLACES_OLD_FeatureToPoint.In the PLACES layer 3 fields were widened for consistency with similarly named fields in other layers. NAME was widened from 32 to 200; ADDR was widened from 32 to 75; TYPE was widened from 20 to 254. After 2 versions the layer was named PLACES_OLD_FeatureToPoint2. PLACES_OLD_FeatureToPoint2 (which was originally PLACES) was copied to a feature class named PLACES_COMBINED. The other 4 feature classes were then appended with the NOTEST option. The name of the original layers where each point resided is in an added field FEA_SRC.The geodatabase was then copied, renamed PLACES_OUTPUT_20100730 and unneeded intermediate results were deleted.The final result is the feature class PLACES_COMBINED in the geodatabase PLACES_OUTPUT_20100730. The dataset has since been added to from numerous other point source datasets along with individual edits from a range of data sources.</SPAN></SPAN></P><P><SPAN><SPAN>For the most part, the attribute fields align with the original 5 datasets that were used to create Places. However, some fields were deleted, as they did not apply to the other datasets. Other fields were assigned an attribute domain. These include: CityNm, CommunityNm, EntityType, and Fea_Src. The EntityType domain was taken directly from Bing's entity types and descriptions. It was then modifed to be more easily understood and simplified. The Fea_Src domain lists the 5 original data sources, plus Bing as a future data source.</SPAN></SPAN></P><P><SPAN><SPAN>The dataset is updated and reviewed by SanGIS on the basis of updates received to other independent point source datasets (e.g. hospitals, schools, fire stations). The Fea_Src field may change from the original sources as data is reviewed and revised. Where duplication of features from the original place data are discovered they are consolidated into a single feature.</SPAN></SPAN></P></DIV></DIV></DIV>

Service Item Id: e1448789d21347209eab074deb33dbd1

Copyright Text: Staff at San Diego Data Processing, students and department of planning and land use, staff at SanGIS, the San Diego Sheriff's department dispatchers, and several commercial and open source resources.

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Layer: Senior Centers/Assisted Living Facilities (6)

Name: Senior Centers/Assisted Living Facilities

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN><SPAN>Point layer to show the location of areas and specific features such as buildings, mile markers, and mountain tops </SPAN></SPAN></P><P><SPAN><SPAN>Originally, five layers of place data were combined into a single layer; those of: PLACES (Was SANGIS.PLACES renamed PLACES_OLD); SHERIFF_PLACE_NAMES (Sheriff's place name file for dispatch);PLACES_SG SANDAG Places layer; PLACE_NAMES (Geographic Names Information System /GNIS, assumed); PLACES_CASINOS Casinos.</SPAN></SPAN></P><P><SPAN><SPAN>In PLACES_CASINOS fields were added named ADDR and CITYNM and calculated equal to existing fields ADDRESS and CITY to facilitate the appending process.</SPAN></SPAN></P><P><SPAN><SPAN>PLACES and PLACES_SG initially contained MULTIPOINT features; TOOLBOX Feature to Point was used to make the features POINT. The working layers were then called PLACES_SG_FeatureToPoint and PLACES_OLD_FeatureToPoint.In the PLACES layer 3 fields were widened for consistency with similarly named fields in other layers. NAME was widened from 32 to 200; ADDR was widened from 32 to 75; TYPE was widened from 20 to 254. After 2 versions the layer was named PLACES_OLD_FeatureToPoint2. PLACES_OLD_FeatureToPoint2 (which was originally PLACES) was copied to a feature class named PLACES_COMBINED. The other 4 feature classes were then appended with the NOTEST option. The name of the original layers where each point resided is in an added field FEA_SRC.The geodatabase was then copied, renamed PLACES_OUTPUT_20100730 and unneeded intermediate results were deleted.The final result is the feature class PLACES_COMBINED in the geodatabase PLACES_OUTPUT_20100730. The dataset has since been added to from numerous other point source datasets along with individual edits from a range of data sources.</SPAN></SPAN></P><P><SPAN><SPAN>For the most part, the attribute fields align with the original 5 datasets that were used to create Places. However, some fields were deleted, as they did not apply to the other datasets. Other fields were assigned an attribute domain. These include: CityNm, CommunityNm, EntityType, and Fea_Src. The EntityType domain was taken directly from Bing's entity types and descriptions. It was then modifed to be more easily understood and simplified. The Fea_Src domain lists the 5 original data sources, plus Bing as a future data source.</SPAN></SPAN></P><P><SPAN><SPAN>The dataset is updated and reviewed by SanGIS on the basis of updates received to other independent point source datasets (e.g. hospitals, schools, fire stations). The Fea_Src field may change from the original sources as data is reviewed and revised. Where duplication of features from the original place data are discovered they are consolidated into a single feature.</SPAN></SPAN></P></DIV></DIV></DIV>

Copyright Text: Staff at San Diego Data Processing, students and department of planning and land use, staff at SanGIS, the San Diego Sheriff's department dispatchers, and several commercial and open source resources.

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Layer: Vulnerable Populations (by Age) (0)

Name: Vulnerable Populations (by Age)

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset comprises polygons of census tracts for San Diego County. A census tract is a geographic region defined for the purpose of taking a census. Usually these coincide with the limits of cities, towns or other administrative areas and several tracts commonly exist within a county. In unincorporated areas, these are often arbitrary, except for coinciding with political lines. Census tracts are subdivided into block groups and census blocks.</SPAN></P><P><SPAN>The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area. A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks. As a result, all 2020 Census blocks nest within every other 2020 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up to the appropriate geographic areas. Census blocks cover all territory in the United States, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands). Blocks are the smallest geographic areas for which the Census Bureau publishes data from the decennial census. A block may consist of one or more faces.</SPAN></P><P><SPAN>The Census Tracts dataset is based on the TIGER dataset and may be edited by SANDAG and further edited by SanGIS to reflect local boundary datasets. However, SanGIS edits the CENSUS_BLOCK layer and then derives the CENSUS_TRACT layer from the blocks.</SPAN></P></DIV></DIV></DIV>

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Layer: Census Tracts (9)

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Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This dataset comprises polygons of census tracts for San Diego County. A census tract is a geographic region defined for the purpose of taking a census. Usually these coincide with the limits of cities, towns or other administrative areas and several tracts commonly exist within a county. In unincorporated areas, these are often arbitrary, except for coinciding with political lines. Census tracts are subdivided into block groups and census blocks.</SPAN></P><P><SPAN>The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area. A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks. As a result, all 2020 Census blocks nest within every other 2020 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up to the appropriate geographic areas. Census blocks cover all territory in the United States, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands). Blocks are the smallest geographic areas for which the Census Bureau publishes data from the decennial census. A block may consist of one or more faces.</SPAN></P><P><SPAN>The Census Tracts dataset is based on the TIGER dataset and may be edited by SANDAG and further edited by SanGIS to reflect local boundary datasets. However, SanGIS edits the CENSUS_BLOCK layer and then derives the CENSUS_TRACT layer from the blocks.</SPAN></P></DIV></DIV></DIV>

Copyright Text: SANDAG and SANGIS using data provided by the United States Census Bureau (TIGER).

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• RoadWorkCo ( type: esriFieldTypeString, alias: RoadWorkCo, length: 20 )
• BridgeCode ( type: esriFieldTypeString, alias: BridgeCode, length: 10 )
• AverageDai ( type: esriFieldTypeDouble, alias: AverageDai )
• AverageD_1 ( type: esriFieldTypeDouble, alias: AverageD_1 )
• FromCrossS ( type: esriFieldTypeString, alias: FromCrossS, length: 80 )
• ToCrossStr ( type: esriFieldTypeString, alias: ToCrossStr, length: 80 )
• STNameID ( type: esriFieldTypeInteger, alias: STNameID )
• LegacyID ( type: esriFieldTypeString, alias: LegacyID, length: 50 )
• SanGISSegI ( type: esriFieldTypeInteger, alias: SanGISSegI )
• PlanID ( type: esriFieldTypeString, alias: PlanID, length: 20 )
• PlanSheetN ( type: esriFieldTypeString, alias: PlanSheetN, length: 5 )
• SlurryDate ( type: esriFieldTypeDate, alias: SlurryDate, length: 8 )
• OverlayDat ( type: esriFieldTypeDate, alias: OverlayDat, length: 8 )
• Reconstruc ( type: esriFieldTypeDate, alias: Reconstruc, length: 8 )
• RestripeDa ( type: esriFieldTypeDate, alias: RestripeDa, length: 8 )
• GlobalID ( type: esriFieldTypeString, alias: GlobalID, length: 38 )
• Circulatio ( type: esriFieldTypeString, alias: Circulatio, length: 50 )
• created_us ( type: esriFieldTypeString, alias: created_us, length: 254 )
• created_da ( type: esriFieldTypeDate, alias: created_da, length: 8 )
• last_edite ( type: esriFieldTypeString, alias: last_edite, length: 254 )
• last_edi_1 ( type: esriFieldTypeDate, alias: last_edi_1, length: 8 )
• SHAPE_STLe ( type: esriFieldTypeDouble, alias: SHAPE_STLe )
• Shape ( type: esriFieldTypeGeometry, alias: Shape )
• Shape.STLength() ( type: esriFieldTypeDouble, alias: Shape.STLength() )