CDFW BIOS GIS Dataset, Contact: Emily Perkins, Description: The FPAs were designed to conserve as much of the Biological Core and Linkage Area (BCLA) as possible, minimize preserve fragmentation, maximize use of existing public lands and open space, and maintain private property rights and economic viability (MHCP Executive Summary 2003). Some areas are designated hardline and some softline. The hardline areas are designated primarily for conservation while the softline areas may be further delineated to development or conservation.

This data shows the U.S. Navy's Imperial Beach Minefield training area. Locations shown are where military training and testing is scheduled and conducted in support of mine warfare detection and neutralization training. (Primary POC: Jenny Marshall, U.S. Third Fleet, (619)767-4210, Secondary POC: Michael Huber, Navy Region Southwest, (619)532-2303)Data was acquired from the Navy and modified for use in the San Diego Ocean Planning Partnership, a collaborative pilot between the California State Lands Commission and the Port of San Diego. Modification of the original dataset included elimination of features outside the extent of the Ocean Planning effort and/or which were not applicable, dissolving features to aggregate similar areas of usage, reprojecting the data for use in the ocean planning mapping application, updating attribute information, and updating metadata.

The Land Use layer provides detailed, regularly updated information about the current and planned land use across the City of La Mesa, clipped to its municipal boundary. It serves as a critical resource for city officials, urban planners, developers, and community members, enabling data-driven decisions and efficient resource management. The layer includes key details such as general plan labels, parcel areas, and boundary measurements—insights crucial for analyzing land use patterns, shaping new developments, and maintaining alignment with city objectives. Precise spatial measurements (e.g., area in square units, perimeter lengths, acreage) further facilitate in-depth analysis and collaborative urban planning. General plan labels and land use descriptions illustrate how each parcel fits within the city’s broader vision, supporting sustainable growth and responsible land use practices. Updated as-needed to capture evolving plans and developments, this layer provides timely data that underpins various city initiatives and fosters transparency. Publicly accessible through the City of La Mesa’s open data platform, it also promotes community engagement and collective efforts to build a thriving future.SANDAG/SanGISThe Land Use layer from SANDAG provides up-to-date four-digit land use code information for the San Diego region, sourced from the most recent SanGIS parcel data. Published on 2024-03-07 with data representing January 1, 2023, and last updated on 2024-05-22.This layer originates from SANDAG’s annual land use inventory, which aligns regional polygons with the latest SanGIS parcel updates every January 1. Adjacent parcels sharing the same land use are dissolved into single features, and aerial imagery and assessor data inform the most accurate possible designations. SANDAG employs the dataset within regional demographic, economic, and land use models, ensuring robust and consistent analysis across the San Diego region.SANDAG Land Use Overview | Land Use Code Definitions | Citation* Data Refreshed: May 5, 2025

The SanGIS data set includes an extensive collection of GIS maps that are available to the public.

 Application Data Included:

 1. Public Safety: Crime Mapping & Analysis, Computer Aided Dispatch,
 Emergency Response Planning

 2. Planning & Development: Specific Plans, Vegetation Mapping, Zoning,
 Geologic Hazards, Codes Enforcement

 3. Facilities Management: Water and Waste Water Utilities, Street
 Lighting, Storm Drains, Pavement Management

 4. Subdivision Mapping: Basemap Maintenance, Parcel Mapping, Survey
 Control, Orthophotography

 5. Route Management: Water Meter Readers, Trash & Recycling Routes

 6. Decision Support & Analysis: Facility Siting, Airport Noise, Slope
 Analysis, Demographics, Economic Development

 SanGIS was created in July, 1997, as a Joint Powers Agreement (JPA)
 between the City and County of San Diego. After 13 years of working
 together on data and application development, the City and County
 decided to formalize their partnership in GIS by creating the SanGIS
 JPA. Finding that access to correct and current geographic data was
 considered more important than application development to County and
 City departments, SanGIS focuses on ensuring geographic data is
 maintained and accessible.

 SanGIS Mission:

 To maintain and promote the use of a regional geographic data
 warehouse for the San Diego area and to facilitate the development of
 shared geographic data and automated systems which use that data.

 SanGIS Goals:

 1. To ensure geographic data currency and integrity.

 2. To provide cost effective access to geographic data to member
 agencies, subscribers and the public.

 3. To generate revenue from the sale of geographic data products to
 reduce the cost of map maintenance to member agencies.

 Data Collection:

 SanGIS data was created or obtained from several sources. Some of our
 data is licensed; some data was created from tabular digital files;
 some data was digitized from paper maps; and other data was entered
 using coordinate geometry tools.

 Updating the Data:

 Responsibility for the maintenance of the over 200 geographic data
 layers is distributed to City and County departments based on several
 factors such as who has the source documents, who has the greatest
 need for the data, and who is held accountable for this data as part
 of their city-wide or county-wide duties. Most basemap maintenance is
 completed by SanGIS staff. SanGIS is also responsible for coordinating
 with other data maintainers to ensure currency and accuracy for all
 participants.

 Data Coverage:

 All of the SanGIS geographic data is within San Diego County
 only. Much of our data covers the entire County of San Diego but some
 is only for the City of San Diego.

 [Summary provided by SanGIS]

Please note that the included metadata applies to the full set of data provided by the San Francisco Estuary Institute. This layer represents historical habitats and does not include historical creeks and distributaries. Please see https://www.sfei.org/content/northern-san-diego-county-lagoons-historical-ecology-gis-data#sthash.U9l5NJNt.SGa2tbKs.dpbs for additional information.Original metdata as provided by the San Francisco Estuary Institute:OverviewThis geodatabase contains several feature classes representing a reconstruction of the historical ecological conditons of six northern San Diego County lagoons (Buena Vista Lagoon, Agua Hedionda Lagoon, Batiquitos Lagoon, San Elijo Lagoon, San Dieguito Lagoon, and Los Peñasquitos Lagoon) prior to Euro-American modification. This dataset integrates many sources of data describing the historical features of the estuaries.Extensive supporting information, including bibliographic references, analyses, and research methods, can be found in the accompanying report:Beller EE, Baumgarten SA, Grossinger RM, Longcore TR, Stein ED, Dark SJ, Dusterhoff SR. 2014. Northern San Diego County Lagoons Historical Ecology Investigation: Regional Patterns, Local Diversity, and Landscape Trajectories. Prepared for the State Coastal Conservancy. SFEI Publication #722, San Francisco Estuary Institute, Richmond, CA.The report and GIS data area available at the project website: http://www.sfei.org/HE_San_Diego_Lagoons.A geographic information system was used to collect, catalog, and analyze the spatial components of the study area. Historical maps and aerial photography were georeferenced, allowing us to compare historical layers to each other and to contemporary aerial photography and maps. Additionally, the georeferenced maps were used as a means to geographically locate information gathered from surveyor notes, early explorers' journals, travelers' accounts, and newspaper articles. Using the various georeferenced maps and photographs combined with narrative sources we constructed a series of synthesis layers representing historical ecological conditions for the six estuaries. The polygon and line layers making up the historical habitat map include Historical_Habitats, Historical_Creeks, and Historical_Distributaries.Habitat types used in the Historical_Habitats layer include Salt Marsh, Salt Flat (Seasonally Flooded), Open Water / Mud Flat, Freshwater / Brackish Wetland, Beach, and Dune. See the Northern San Diego County Lagoons Historical Ecology Investigation for a detailed description of the historical habitat types and the methods that were used to map them.Historical creeks and their distributaries were mapped as polyline features in two distinct layers. Distributary channels mark the endpoints of historically discontinuous channels.--Historical_Habitats Attribute Table Fields:Habitat_Type: The historical habitat type classification.Interp_Cert: coded H (high): feature definitely present before Euro-American modification; M (medium): feature probably present before Euro-American modification; or L (low): feature possibly present before Euro-American modification. Shape_Cert: coded H (high): mapped feature expected to be 90%-110% of actual feature size; M (medium): expected to be 50%-200% of actual size; L (low): expected to be 25%-400% of actual size. Loc_Cert: coded H (high): expected maximum horizontal displacement less than 50 m; M (medium): less than 150 m; L (low): less than 500 m.Notes: Additional documentation about the feature.S_Digitize: Source data used to digitize a feature. S_Interp1: Interpretation Source 1 - Primary data used to interpret a mapped feature if other than the digitizing source – often the earliest historical documentation/evidence found.S_Interp2: Interpretation Source 2 - Data used to support mapping of a feature – additional documentation/evidence other than Interpretation Source 1.Name: The name of the lagoon/wetland complex.Source_Quotes: Excerpt(s) from historical textual data sources used to support mapping of a feature.Source_Quotes2: Excerpt(s) from historical textual data sources used to support mapping of a feature.Notes2: Additional documentation about the feature.Shape.area: Area of the feature in square meters.Shape.len: Length of the feature in meters.--Historical_Creeks Attribute Table Fields:Interp_Cert: coded H (high): feature definitely present before Euro-American modification; M (medium): feature probably present before Euro-American modification; or L (low): feature possibly present before Euro-American modification. Shape_Cert: coded H (high): mapped feature expected to be 90%-110% of actual feature size; M (medium): expected to be 50%-200% of actual size; L (low): expected to be 25%-400% of actual size. Loc_Cert: coded H (high): expected maximum horizontal displacement less than 50 m; M (medium): less than 150 m; L (low): less than 500 m.Notes: Additional documentation about the feature.S_Digitize: Source data used to digitize a feature. S_Interp1: Interpretation Source 1 - Primary data used to interpret a mapped feature if other than the digitizing source – often the earliest historical documentation/evidence found.S_Interp2: Interpretation Source 2 - Data used to support mapping of a feature – additional documentation/evidence other than Interpretation Source 1.Marsh_Comp: Lagoon/marsh complex into which the channel drains.SHAPE.len: Length of the channel feature in meters.Flow: Channel type (Perennial, Intermittent, Unknown).--(Attribute table information not provided for Historical_Distributary layer)--Additional Bibliographic Information:For a full list of works cited in this study, please consult the References section of the Northern San Diego County Lagoons Historical Ecology Investigation. Additional information about sources cited in the GIS layers is provided below:USGS Digital Raster Graphics (DRG) for the study area were created/revised between 1975 and 1983, and are cited as USGS 1975-1983.Historical aerial photographs are cited as San Diego County 1928. In some cases, the citation is followed by a number in parentheses specifying the particular image consulted.Abbreviated source institution names and accession numbers are provided for additional photographs cited in the GIS layers. Source institutions include:Carlsbad Pub Library = Carlsbad City Library Carlsbad History RoomScripps = Scripps Institution of Oceanography Archives, UC San DiegoSDHC = San Diego History CenterSpence Air Photos = Benjamin and Gladys Thomas Air Photo Archives, UCLA Department of GeographyAdditional sources not cited in the report include:Alexander WE. n.d. Plat book of San Diego County, California. Township 13 S., R. 3 W. Township 13 S., R. 4 W. Los Angeles, CA: Pacific Plat Book Company. Courtesy of The Bancroft Library, UC Berkeley.

NOAA's National Geophysical Data Center (NGDC) is building high-resolution digital elevation models (DEMs) for select U.S. coastal regions. These integrated bathymetric-topographic DEMs are used to support tsunami forecasting and warning efforts at the NOAA Center for Tsunami Research, Pacific Marine Environmental Laboratory (PMEL). The DEMs are part of the tsunami forecast system SIFT (Short-term Inundation Forecasting for Tsunamis) currently being developed by PMEL for the NOAA Tsunami Warning Centers, and are used in the MOST (Method of Splitting Tsunami) model developed by PMEL to simulate tsunami generation, propagation, and inundation. Bathymetric, topographic, and shoreline data used in DEM compilation are obtained from various sources, including NGDC, the U.S. National Ocean Service (NOS), the U.S. Geological Survey (USGS), the U.S. Army Corps of Engineers (USACE), the Federal Emergency Management Agency (FEMA), and other federal, state, and local government agencies, academic institutions, and private companies. DEMs are referenced to the vertical tidal datum of North American Vertical Datum of 1988 (NAVD 88) or Mean High Water (MHW) and horizontal datum of World Geodetic System 1984 (WGS84). Cell size for the DEMs ranges from 1/3 arc-second (~10 meters) to 3 arc-seconds (~90 meters).The DEM Global Mosaic is an image service providing access to bathymetric/topographic digital elevation models stewarded at NOAA's National Centers for Environmental Information (NCEI), along with the global GEBCO_2014 grid: http://www.gebco.net/data_and_products/gridded_bathymetry_data. NCEI builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. They can be used for modeling of coastal processes (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness. This service is a general-purpose global, seamless bathymetry/topography mosaic. It combines DEMs from a variety of near sea-level vertical datums, such as mean high water (MHW), mean sea level (MSL), and North American Vertical Datum of 1988 (NAVD88). Elevation values have been rounded to the nearest meter, with DEM cell sizes going down to 1 arc-second. Higher-resolution DEMs, with greater elevation precision, are available in the companion NAVD88: http://noaa.maps.arcgis.com/home/item.html?id=e9ba2e7afb7d46cd878b34aa3bfce042 and MHW: http://noaa.maps.arcgis.com/home/item.html?id=3bc7611c1d904a5eaf90ecbec88fa799 mosaics. By default, the DEMs are drawn in order of cell size, with higher-resolution grids displayed on top of lower-resolution grids. If overlapping DEMs have the same resolution, the newer one is shown. Please see NCEI's corresponding DEM Footprints map service: http://noaa.maps.arcgis.com/home/item.html?id=d41f39c8a6684c54b62c8f1ab731d5ad for polygon footprints and more information about the individual DEMs used to create this composite view. In this visualization, the elevations/depths are displayed using this color ramp: http://gis.ngdc.noaa.gov/viewers/images/dem_color_scale.png.A map service showing the location and coverage of land and seafloor digital elevation models (DEMs) available from NOAA's National Centers for Environmental Information (NCEI). NCEI builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. They can be used for modeling of coastal processes (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness. Layers available in the map service: Layers 1-4: DEMs by Category (includes various DEMs, both hosted at NCEI, and elsewhere on the web); Layers 6-11: NCEI DEM Projects (DEMs hosted at NCEI, color-coded by project); Layer 12: All NCEI Bathymetry DEMs (All bathymetry or bathy-topo DEMs hosted at NCEI).This is an image service providing access to bathymetric/topographic digital elevation models stewarded at NOAA's National Centers for Environmental Information (NCEI), with vertical units referenced to mean high water (MHW). NCEI builds and distributes high-resolution, coastal digital elevation models (DEMs) that integrate ocean bathymetry and land topography to support NOAA's mission to understand and predict changes in Earth's environment, and conserve and manage coastal and marine resources to meet our Nation's economic, social, and environmental needs. They can be used for modeling of coastal processes (tsunami inundation, storm surge, sea-level rise, contaminant dispersal, etc.), ecosystems management and habitat research, coastal and marine spatial planning, and hazard mitigation and community preparedness. This service provides data from many individual DEMs combined together as a mosaic. By default, the rasters are drawn in order of cell size, with higher-resolution grids displayed on top of lower-resolution grids. If overlapping DEMs have the same resolution, the newer one is shown. Alternatively, a single DEM or group of DEMs can be isolated using a filter/definition query or using the 'Lock Raster 'mosaic method in ArcMap. This is one of three services displaying collections of DEMs that are referenced to common vertical datums: North American Vertical Datum of 1988 (NAVD88): http://noaa.maps.arcgis.com/home/item.html?id=e9ba2e7afb7d46cd878b34aa3bfce042, Mean High Water (MHW): http://noaa.maps.arcgis.com/home/item.html?id=3bc7611c1d904a5eaf90ecbec88fa799, and Mean Higher High Water: http://noaa.maps.arcgis.com/home/item.html?id=9471f8d4f43e48109de6275522856696. In addition, the DEM Global Mosaic is a general-purpose global, seamless bathymetry/topography mosaic containing all the DEMs together. Two services are available: http://noaa.maps.arcgis.com/home/item.html?id=c876e3c96a8642ab8557646a3b4fa0ff Elevation Values: http://noaa.maps.arcgis.com/home/item.html?id=c876e3c96a8642ab8557646a3b4fa0ff and Color Shaded Relief: http://noaa.maps.arcgis.com/home/item.html?id=feb3c625dc094112bb5281c17679c769. Please see the corresponding DEM Footprints map service: http://noaa.maps.arcgis.com/home/item.html?id=d41f39c8a6684c54b62c8f1ab731d5ad for polygon footprints and more information about the individual DEMs used to create this composite view. This service has several server-side functions available. These can be selected in the ArcGIS Online layer using 'Image Display ', or in ArcMap under 'Processing Templates '. None: The default. Provides elevation/depth values in meters relative to the NAVD88 vertical datum. ColorHillshade: An elevation-tinted hillshade visualization. The depths are displayed using this color ramp: http://gis.ngdc.noaa.gov/viewers/images/dem_color_scale.png. GrayscaleHillshade: A simple grayscale hillshade visualization. SlopeMapRGB: Slope in degrees, visualized using these colors: http://downloads.esri.com/esri_content_doc/landscape/SlopeMapLegend_V7b.png. SlopeNumericValues: Slope in degrees, returning the actual numeric values. AspectMapRGB: Orientation of the terrain (0-360 degrees), visualized using these colors: http://downloads.esri.com/esri_content_doc/landscape/AspectMapLegendPie_V7b.png. AspectNumericValues: Aspect in degrees, returning the actual numeric values.

The California Senate Bill 743 (SB 743) (Steinberg, 2013) VMT maps provide an estimate of personal vehicle travel by residents and employees within the San Diego region. The California Office of Planning and Research released a Technical Advisory on Evaluating Transportation Impacts in CEQA (https://opr.ca.gov/ceqa/sb-743/) and the maps provided by SANDAG are an interpretation of the guidelines provided as a resource to the jurisdictions in our region to use as they see fit. The estimated data in these maps are an analysis of travel using SANDAG’s ABM. The currently approved ABM version (14.2.2) used for the 2021 Regional Plan is ABM2+ with the Series 14 Growth Forecast version 38. The historic version of the ABM (14.1.1) was used for the 2019 Regional Transportation Plan with the Series 14 Growth Forecast version 17. These maps and data are subject to change as new estimates are produced using updated inputs and methodologies. Local jurisdictions are under no obligation to use the data in their development approval processes or transportation analyses under SB 743. Users of the data should exercise their professional judgment in reviewing, evaluating, and analyzing VMT reduction estimate results from the tool. Each agency should consult with California Environmental Quality Act (CEQA) experts and legal counsel regarding their own CEQA practices and updates to local policies. The estimated data are provided at four geographic scales: City, City/County CPA, Census Tract, and Traffic Analysis. For each geography SANDAG provides the VMT data per capita and per employee. VMT per capita represents the average amount of personal, non-commercial, vehicle travel made on an average weekday by each resident who lives within that geographic boundary. VMT per employee represents the average amount of personal, non-commercial, vehicle travel made on an average weekday by each resident employee whose employment/work location is within that geographic boundary. When downloading and viewing this layer in GIS or tabular formats, all records will be displayed by default. In order to limit the records to a specific VMT category, a query or filter on [version], [geo], [year], and [vmt_type] fields will need to be applied. For example, when using the query in GIS you can set the definition query to: [version] = "ABM2+ / 2021 RP" AND [geo] = "Census Tract" AND [year] = 2016 AND [vmt_type] = "Residents" - this query will display only records for census tracts with 2016 VMT estimates by residents. An example in Excel would consist of setting the filter (checkbox) [version] = "ABM2+ / 2021 RP", [geo] = "Census Tract", [year] = 2016, and [vmt_type] = "Residents" to display records for census tracts with 2016 VMT estimates by residents.

Locations shown are where military training is scheduled and can be conducted in support of search and rescue operations (Primary POC: Tim Latas, Naval Base Coronado, (619) 545-5347, Secondary POC: Michael Huber, Navy Region Southwest, (619) 532-2303)Data was acquired from the Navy and modified for use in the San Diego Ocean Planning Partnership, a collaborative pilot between the California State Lands Commission and the Port of San Diego. Modification of the original dataset included elimination of features outside the extent of the Ocean Planning effort and/or which were not applicable, dissolving features to aggregate similar areas of usage, reprojecting the data for use in the ocean planning mapping application, updating attribute information, and updating metadata.

Download Data Dictionary (CSV)This dataset comprises polygons representing current taxable parcels, including some non-taxable parcels, specifically within the city limits of Carlsbad. The data, sourced from SanGIS, contains parcels as shown on the Assessor Parcel Map (APM). It's important to note that parcels shown in this layer may lag behind the official APM by a number of weeks due to the timing of SanGIS being notified of newly created parcels and the publication schedule of the parcel layer. The City of Carlsbad GIS processes parcels monthly, adding another delay in the inclusion of newly created parcels.Point of Contact:For inquiries about land-use details and the implications of a property being within special zones/planning areas, overlay zones, including Coastal Zone, Redevelopment Zone, Beach Overlay Zone, Fire Zone, and Visitor Zone.City of Carlsbad Planning Division1635 Faraday AvenueCarlsbad, California 92008442-339-2610For the latest and most specific tax parcel information represented by parcel polygons, please refer to the SanGIS website or consult the San Diego County Assessor/Recorder/County Clerk (ARCC).SanGIS5510 Overland Avenue, Suite 230San Diego, California 92123858-874-7000

Polygon file of Transit Priority Areas in the City of San Diego, California, USA. Provided by SANGIS and hosted by H-Hub at UC San Diego.Transit Priority Areas in the City of San Diego, California, USA. Provided by SANGIS and hosted by H-Hub at UC San Diego.Transit Priority Areas is based on the adopted SANDAG 2050 Regional Transportation Plan (RTP).In accordance with SB743,“Transit priority area” means “an area within one-half mile of a major transit stop that is existing or planned, if the planned stop is scheduled to be completed within the planning horizon included in a Transportation Improvement Program adopted pursuant to Section 450.216 or 450.322 of Title23 of the Code of Federal Regulations.”

This dataset represents a compilation of data from various government agencies throughout the City of New York. The underlying geography is derived from the Tax Lot Polygon feature class that is part of the Department of Finance's Digital Tax Map (DTM). The tax lots have been clipped to the shoreline, as defined by NYCMap planimetric features. The attribute information is from the Department of City Planning's PLUTO data. The attribute data pertains to tax lot and building characteristics and geographic, political and administrative information for each tax lot in New York City.The Tax Lot Polygon feature class and PLUTO are derived from different sources. As a result, some PLUTO records do not have a corresponding tax lot in the Tax Lot polygon feature class at the time of release. These records are included in a separate non-geographic PLUTO Only table. There are a number of reasons why there can be a tax lot in PLUTO that does not match the DTM; the most common reason is that the various source files are maintained by different departments and divisions with varying update cycles and criteria for adding and removing records. The attribute definitions for the PLUTO Only table are the same as those for MapPLUTO. DCP Mapping Lots includes some features that are not on the tax maps. They have been added by DCP for cartographic purposes. They include street center 'malls', traffic islands and some built streets through parks. These features have very few associated attributes.To report problems, please open a GitHub issue or email DCPOpendata@planning.nyc.gov.DATES OF INPUT DATASETS:Department of City Planning - E-Designations: 2/5/2021Department of City Planning - Zoning Map Index: 7/31/2019Department of City Planning - NYC City Owned and Leased Properties: 11/15/2020Department of City Planning - NYC GIS Zoning Features: 2/5/2021Department of City Planning - Polictical and Administrative Districts: 11/17/2020Department of City Planning - Geosupport version 20D: 11/17/2020Department of Finance - Digital Tax Map: 1/30/2021Department of Finance - Mass Appraisal System (CAMA): 2/10/2021Department of Finance - Property Tax System (PTS): 2/6/2021Landmarks Preservation Commission - Historic Districts: 2/4/2021Landmarks Preservation Commission - Individual Landmarks: 2/4/2021Department of Information Telecommunications & Technology - Building Footprints: 2/10/2021Department of Parks and Recreation - GreenThumb Garden Info: 1/4/2021

The MPA Inventory is a comprehensive catalog that provides detailed information for existing marine protected areas. The inventory provides geospatial boundary information (in polygon format) and classification attributes that seek to define the conservation objectives, protection level, governance and related management criteria for all sites in the database. The comprehensive inventory of federal, state and territorial MPA sites provides governments and stakeholders with access to information to make better decisions about the current and future use of place-based conservation. The information also will be used to inform the development of the national system of marine protected areas as required by Executive Order 13158.Please note that this data has been clipped and reprojected for purposes of the San Diego Ocean Planning Partnership, a collaborative pilot project between the California State Lands Commission and the Port of San Diego. All areas within three nautical miles of the preliminary planning boundary were included. Areas outside of the preliminary planning boundary are included for reference. For more information about the Partnership, please visit: https://www.sdoceanplanning.org/

Public transit routes in San Diego County managed by the San Diego County Metropolitan Transit System (MTS) and the North County Transit District (NCTD). Bus, commuter and light rail, and trolley routes managed and developed from the General Transit Feed Specification (GTFS) data available from the transitland feed registry (formerly from GTFS Data Exchange). Routes are developed from the GTFS data available through the transitland feed registry (https://transit.land/feed-registry/), formerly from the GTFS Data Exchange. GTFS data is provided to the exchange by the transit agencies and processed by SanGIS to create a consolidated GIS layer containing routes from both systems. SanGIS uses a publicly available ESRI ArcToolbox tool to create the GIS data layer. The toolbox can be found at http://www.arcgis.com/home/item.html?id=14189102b795412a85bc5e1e09a0bafa. This data set is created using the ROUTES.txt and SHAPES.txt GTFS data files.Routes layers for MTS and NCTD are created separately and combined into a single layer using ArcGIS tools.Please note that this data was reprojected for use in the San Diego Ocean Planning Partnership, a collaborative pilot project between the California State Lands Commission and the Port of San Diego. For more information about the Partnership, please visit: https://www.sdoceanplanning.org/

The California Department of Boating and Waterways provided the California Department of Fish and Game Marine Region GIS Lab with a boating facilities GIS dataset. The GIS Lab manually selected coastal and marine related marinas from the boating facilities dataset to create this dataset. Only the name field was used from the boating facilities dataset and the GIS Lab added and attributed the rest of the fields in the dataset. Some additional marinas were added that were not included in the boating facilities dataset.Please note that this data has been clipped and reprojected for purposes of the San Diego Ocean Planning Partnership, a collaborative pilot project between the California State Lands Commission and the Port of San Diego. For more information about the Partnership, please visit: https://www.sdoceanplanning.org/

The California Department of Boating and Waterways provided the California Department of Fish and Game Marine Region GIS Lab with a boating facilities GIS dataset. The GIS Lab manually selected coastal and marine related boat launch sites from the boating facilities dataset to create this dataset. Only the name field was used from the boating facilities dataset and the GIS Lab added and attributed the rest of the fields in the dataset. Positions were more accurately located with the aid of aerial imagery.Please note that this dataset was clipped and reprojected as part of the San Diego Ocean Planning Partnership, a collaborative pilot project between the California State Lands Commission and the Port of San Diego. For this dataset, a three nautical mile buffer of the preliminary planning boundary was used in order to capture sites in San Diego and Mission Bay as well as Oceanside Harbor. As with other data, anything included outside of the preliminary planning boundary is for informational purposes only. For more information about the Partnership, please visit: https://www.sdoceanplanning.org/

This data set contains vector polygons representing the boundaries of all hardcopy cartographic products and digital data extents produced as part of the Environmental Sensitivity Index (ESI) for Southern California. This data set comprises a portion of the ESI data for Southern California. ESI data characterize the marine and coastal environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources.Please note that this data was selected from a larger dataset for use in the San Diego Ocean Planning Partnership, a collaborative pilot project between the California State Lands Commission and the Port of San Diego. For more information about the Partnership, please visit: https://www.sdoceanplanning.org/When within the San Diego Ocean Planning Partnership web mapping application, clicking on a polygon will present a link to an online version of the map. To add the data itself to the application, please use the add data widget and the following web service URL: https://idpgis.ncep.noaa.gov/arcgis/rest/services/NOS_ESI/ESI_SouthernCalifornia_Data/MapServer

Piers and jetties sampled by the California Recreational Fisheries Survey. Sites provided by the Pacific State Marine Fisheries Commision. Records are not exhaustive of all piers or jetties. Please note that this data was selected from a larger dataset for use in the San Diego Ocean Planning Partnership, a collaborative pilot project between the California State Lands Commission and the Port of San Diego. For more information about the Partnership, please visit: https://www.sdoceanplanning.org/

A collection of various SCUBA dive sites along the California coast were compiled for Marine Proteced Area planning purposes during the Marine Life Protection Act. Sources include PISCO, REEF, www.wannadive.net and www.scubadiving.com.Please note that this data was selected from a larger dataset for use in the San Diego Ocean Planning Partnership, a collaborative pilot project between the California State Lands Commission and the Port of San Diego. For more information about the Partnership, please visit: https://www.sdoceanplanning.org/