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Layer: Points of Interest_36K (0)

Name: Points of Interest_36K

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Supported Query Formats: JSON, geoJSON, PBF

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Spatial Reference: 102100  (3857)  LatestVCSWkid(0)



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Symbol:
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Symbol:
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Supports Returning Query Extent: true
Supports Query With Distance: true
Supports Sql Expression: true
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Supports Having Clause: true
Supports Count Distinct: true
Supports Time Relation: true
Supports Sql Format: false
Supports Query Analytic: true
Supports Query With Current User: true


HasZ: false

HasM: false

Has Attachments: false

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Type ID Field: null

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Layer: SiteAddress_2K (1)

Name: SiteAddress_2K

Display Field: RoadName

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description:

Copyright Text:

Default Visibility: true

MaxRecordCount: 1000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 2258.0

Max Scale: 0.0

Supports Advanced Queries: true

Supports Statistics: true

Has Labels: true

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Can Scale Symbols: false

Use Standardized Queries: true

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Spatial Reference: 102100  (3857)  LatestVCSWkid(0)



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Supports Sql Expression: true
Supports Query With ResultType: false
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Supports Query With LOD Spatial Reference: false
Supports Percentile Statistics: true
Supports Having Clause: true
Supports Count Distinct: true
Supports Time Relation: true
Supports Sql Format: false
Supports Query Analytic: true
Supports Query With Current User: true


HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field: null

Fields:
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• AddressType ( type: esriFieldTypeString, alias: AddressType, length: 50 , Coded Values: [Commercial and Retail: Commercial and Retail] , [Education: Education] , [Emergency Response and Law Enforcement: Emergency Response and Law Enforcement] , ...18 more... )
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Layer: FreewayLables_500K (2)

Name: FreewayLables_500K

Display Field: Type

Type: Feature Layer

Geometry Type: esriGeometryPolyline

Description: All San Diego County Roads

Copyright Text: SanGIS

Default Visibility: true

MaxRecordCount: 1000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 144449.0

Max Scale: 0.0

Supports Advanced Queries: true

Supports Statistics: true

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Spatial Reference: 102100  (3857)  LatestVCSWkid(0)



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Advanced Query Capabilities:
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Supports Sql Expression: true
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Supports Having Clause: true
Supports Count Distinct: true
Supports Time Relation: true
Supports Sql Format: false
Supports Query Analytic: true
Supports Query With Current User: true


HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeAsHTMLText

Type ID Field: null

Fields:
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• Type ( type: esriFieldTypeString, alias: Type, length: 20 )
• Shape ( type: esriFieldTypeGeometry, alias: Shape )
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Layer: StormWaterMonitoringStation_1K (3)

Name: StormWaterMonitoringStation_1K

Display Field: AssetID

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description:

Copyright Text:

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MaxRecordCount: 1000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 1129.0

Max Scale: 0.0

Supports Advanced Queries: true

Supports Statistics: true

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Can Scale Symbols: false

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Spatial Reference: 102100  (3857)  LatestVCSWkid(0)



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Labeling Info:
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Supports Time Relation: true
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Supports Query Analytic: true
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HasZ: false

HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeNone

Type ID Field: null

Fields:
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Layer: StormWaterCatchBasin_1K (4)

Name: StormWaterCatchBasin_1K

Display Field: AssetID

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description:

Copyright Text:

Default Visibility: true

MaxRecordCount: 1000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 1129.0

Max Scale: 0.0

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Spatial Reference: 102100  (3857)  LatestVCSWkid(0)



Drawing Info:
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HasM: false

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Layer: StormWaterCurbInlet_1K (5)

Name: StormWaterCurbInlet_1K

Display Field: AssetID

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description:

Copyright Text:

Default Visibility: true

MaxRecordCount: 1000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 1129.0

Max Scale: 0.0

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Spatial Reference: 102100  (3857)  LatestVCSWkid(0)



Drawing Info:
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HasM: false

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Layer: StormWaterOutfall_1K (6)

Name: StormWaterOutfall_1K

Display Field: AssetID

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description:

Copyright Text:

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MaxRecordCount: 1000

Supported Query Formats: JSON, geoJSON, PBF

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Spatial Reference: 102100  (3857)  LatestVCSWkid(0)



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Supports Query Analytic: true
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HasM: false

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• Full_Drainage_Area ( type: esriFieldTypeDouble, alias: Full_Drainage_Area )

Layer: StormWaterCurbOutlet_1K (7)

Name: StormWaterCurbOutlet_1K

Display Field: AssetID

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description:

Copyright Text:

Default Visibility: true

MaxRecordCount: 1000

Supported Query Formats: JSON, geoJSON, PBF

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Spatial Reference: 102100  (3857)  LatestVCSWkid(0)



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Supports Query Analytic: true
Supports Query With Current User: true


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HasM: false

Has Attachments: false

HTML Popup Type: esriServerHTMLPopupTypeNone

Type ID Field: null

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• Full_Drainage_Area ( type: esriFieldTypeDouble, alias: Full_Drainage_Area )

Layer: StormWaterCleanOut_1K (8)

Name: StormWaterCleanOut_1K

Display Field: AssetID

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description:

Copyright Text:

Default Visibility: true

MaxRecordCount: 1000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 1129.0

Max Scale: 0.0

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Supports Statistics: true

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Description: This dataset comprises right of way polygons within the County of San Diego. A right of way is defined as a dedicated right for the public to travel unhindered, to access a route regardless of land ownership or any other legality. Rights-of-way are shown whether they are improved (constructed) or unimproved. Not all dedicated rights-of-way may be shown.SanGIS notes that the original source is an SDGE dataset that has been updated on a continual basis by SanGIS since. The dataset is as current and complete as the reference data on hand. The data is updated per recorded Subdivision and Parcel maps received, Record of Surveys, Recorded Documents (Road Opening / Road Closure), Assessor Parcel map cuts, and data received from local jurisdictions including State and Federal entitites. The right-of-way dataset is maintained as part of the SanGIS parcel dataset. The right-of-way parcel subtype is excluded from the published parcel layer and is published separately as this right-of-way layer as requested by the City and County of San Diego. Data schema for this layer does not include attributes from the Master Property Record (MPR) that are added to the published Parcel layers.For details of attributes refer to field definitions under resources.

Copyright Text: SanGIS using legal recorded data provided by the County Recorder and Assessor's Office.

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Description: Dataset Description: San Diego, California 2014 LiDAR project called for the Planning, Acquisition, processing and derivative products of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1. The data was developed based on a horizontal projection/datum of NAD83, State Plane California VI, Survey Feet and vertical datum of NAVD1988 (GEOID12A), Survey Feet. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.2 Files formatted to 1565 individual 5000 ft x 5000 ft tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 5000 ft x 5000 ft schema, and Breaklines in Esri geodatabase format. Ground Conditions: LiDAR was collected in late 2014 and early 2015, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Photo Science established a total of 88 QA calibration control points and 80 Land Cover control points that were used to calibrate the LIDAR to known ground locations established throughout the San Diego, California project area. Photo Science used classified LAS files to show the manually reviewed bare earth surface. This allowed the user to create Intensity Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydroflattened Digital Elevation Model (DEM) with a 2.5 foot cell size. These raw lidar point cloud data were used to create classified lidar LAS files, intensity images, 3D breaklines, hydro-flattened DEMs as necessary. This resulting data was used to create the raw, individual two foot contour tiles.

Copyright Text: SanGIS, Photo Science, A Quantum Spatial Company flew the LiDAR and processed the data.

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Description: Dataset Description: San Diego, California 2014 LiDAR project called for the Planning, Acquisition, processing and derivative products of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1. The data was developed based on a horizontal projection/datum of NAD83, State Plane California VI, Survey Feet and vertical datum of NAVD1988 (GEOID12A), Survey Feet. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.2 Files formatted to 1565 individual 5000 ft x 5000 ft tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 5000 ft x 5000 ft schema, and Breaklines in Esri geodatabase format. Ground Conditions: LiDAR was collected in late 2014 and early 2015, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Photo Science established a total of 88 QA calibration control points and 80 Land Cover control points that were used to calibrate the LIDAR to known ground locations established throughout the San Diego, California project area. Photo Science used classified LAS files to show the manually reviewed bare earth surface. This allowed the user to create Intensity Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydroflattened Digital Elevation Model (DEM) with a 2.5 foot cell size. These raw lidar point cloud data were used to create classified lidar LAS files, intensity images, 3D breaklines, hydro-flattened DEMs as necessary. This resulting data was used to create the raw, individual two foot contour tiles.

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Description: Dataset Description: San Diego, California 2014 LiDAR project called for the Planning, Acquisition, processing and derivative products of LIDAR data to be collected at a nominal pulse spacing (NPS) of 0.7 meter. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base LIDAR Specification, Version 1. The data was developed based on a horizontal projection/datum of NAD83, State Plane California VI, Survey Feet and vertical datum of NAVD1988 (GEOID12A), Survey Feet. LiDAR data was delivered in RAW flight line swath format, processed to create Classified LAS 1.2 Files formatted to 1565 individual 5000 ft x 5000 ft tiles, and corresponding Intensity Images and Bare Earth DEMs tiled to the same 5000 ft x 5000 ft schema, and Breaklines in Esri geodatabase format. Ground Conditions: LiDAR was collected in late 2014 and early 2015, while no snow was on the ground and rivers were at or below normal levels. In order to post process the LiDAR data to meet task order specifications, Photo Science established a total of 88 QA calibration control points and 80 Land Cover control points that were used to calibrate the LIDAR to known ground locations established throughout the San Diego, California project area. Photo Science used classified LAS files to show the manually reviewed bare earth surface. This allowed the user to create Intensity Images, Breaklines and Raster DEM. The purpose of these lidar data was to produce high accuracy 3D hydroflattened Digital Elevation Model (DEM) with a 2.5 foot cell size. These raw lidar point cloud data were used to create classified lidar LAS files, intensity images, 3D breaklines, hydro-flattened DEMs as necessary. This resulting data was used to create the raw, individual two foot contour tiles.

Copyright Text: SanGIS, Photo Science, A Quantum Spatial Company flew the LiDAR and processed the data.

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