100+ datasets found
  1. c

    Focused Planning Areas - Northwestern San Diego County - MHCP [ds2770] GIS...

    • map.dfg.ca.gov
    Updated Apr 5, 2018
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    (2018). Focused Planning Areas - Northwestern San Diego County - MHCP [ds2770] GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds2770.html
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    Dataset updated
    Apr 5, 2018
    Area covered
    San Diego County
    Description

    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.

  2. Shoreline Data Rescue Project of San Diego, California, CA33C02

    • fisheries.noaa.gov
    • s.cnmilf.com
    • +1more
    Updated Jan 1, 2020
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    National Geodetic Survey (2020). Shoreline Data Rescue Project of San Diego, California, CA33C02 [Dataset]. https://www.fisheries.noaa.gov/inport/item/61966
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    pdf - adobe portable document formatAvailable download formats
    Dataset updated
    Jan 1, 2020
    Dataset provided by
    U.S. National Geodetic Survey
    Time period covered
    Jan 1, 1916 - Jul 18, 1916
    Area covered
    Description

    These data were automated to provide an accurate high-resolution historical shoreline of San Diego, California suitable as a geographic information system (GIS) data layer. These data are derived from shoreline maps that were produced by the NOAA National Ocean Service including its predecessor agencies which were based on an office interpretation of imagery and/or field survey. The NGS att...

  3. Roads All

    • sdgis-sandag.opendata.arcgis.com
    • wifire-data.sdsc.edu
    Updated Sep 8, 2018
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    San Diego Association of Governments (2018). Roads All [Dataset]. https://sdgis-sandag.opendata.arcgis.com/datasets/SANDAG::roads-all/about
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    Dataset updated
    Sep 8, 2018
    Dataset provided by
    San Diego Association Of Governmentshttp://www.sandag.org/
    Authors
    San Diego Association of Governments
    Area covered
    Description

    This dataset comprises road centerlines for all roads in San Diego County. Road centerline information is collected from recorded documents (subdivision and parcel maps) and information provided by local jurisidictions (Cities in San Diego County, County of San Diego). Road names and address ranges are as designated by the official address coordinator for each jurisidcition. Jurisdictional information is created from spatial overlays with other data layers (e.g. Jurisdiction, Census Tract).The layer contains both public and private roads. Not all roads are shown on official, recorded documents. Centerlines may be included for dedicated public roads even if they have not been constructed. Public road names are the official names as maintained by the addressing authority for the jurisdiction in which the road is located. Official road names may not match the common or local name used to identify the road (e.g. State Route 94 is the official name of certain road segments commonly referred to as Campo Road).Private roads are either named or unnamed. Named private roads are as shown on official recorded documents or as directed by the addressing authority for the jurisdiction in which the road is located. Unnamed private roads are included where requested by the local jurisidiction or by SanGIS JPA members (primarily emergency response dispatch agencies). Roads are comprised of road segments that are individually identified by a unique, and persistent, ID (ROADSEGID). Roads segments are terminated where they intersect with each other, at jurisdictional boundaries (i.e. city limits), certain census tract and law beat boundaries, at locations where road names change, and at other locations as required by SanGIS JPA members. Each road segment terminates at an intersection point that can be found in the ROADS_INTERSECTION layer.Road centerlines do not necessarily follow the centerline of dedicated rights-of-way (ROW). Centerlines are adjusted as needed to fit the actual, constructed roadway. However, many road centerline segments are created intially based on record documents prior to construction and may not have been updated to meet as-built locations. Please notify SanGIS if the actual location differs from that shown. See the SanGIS website for contact information and reporting problems (http://www.sangis.org/contact/problem.html).Note, the road speeds in this layer are based on road segment class and were published as part of an agreement between San Diego Fire-Rescue, the San Diego County Sheriff's Department, and SanGIS. The average speed is based on heavy fire vehicles and may not represent the posted speed limit.

  4. a

    San Diego 2021 Roll Year

    • hub.arcgis.com
    • gis.data.ca.gov
    Updated May 7, 2021
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    California Department of Tax and Fee Administration (2021). San Diego 2021 Roll Year [Dataset]. https://hub.arcgis.com/maps/d080b61d94f24304bedaec93c02eab90
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    Dataset updated
    May 7, 2021
    Dataset authored and provided by
    California Department of Tax and Fee Administration
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Tax rate area boundaries and related data based on changes filed with the Board of Equalization per Government Code 54900 for the specified assessment roll year. The data included in this map is maintained by the California State Board of Equalization and may differ slightly from the data published by other agencies. BOE_TRA layer = tax rate area boundaries and the assigned TRA number for the specified assessment roll year; BOE_Changes layer = boundary changes filed with the Board of Equalization for the specified assessment roll year; Data Table (C##_YYYY) = tax rate area numbers and related districts for the specified assessment roll year

  5. TIGER/Line Shapefile, Current, County, San Diego County, CA, All Roads

    • catalog.data.gov
    Updated Dec 15, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2023). TIGER/Line Shapefile, Current, County, San Diego County, CA, All Roads [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-county-san-diego-county-ca-all-roads
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    Dataset updated
    Dec 15, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://commerce.gov/
    Area covered
    San Diego County
    Description

    This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) 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 shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

  6. S

    GIS - Parcel Viewer

    • opendata.sjgov.org
    html
    Updated Jul 6, 2023
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    Department of Public Works (2023). GIS - Parcel Viewer [Dataset]. https://opendata.sjgov.org/dataset/gis-parcel-viewer
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    htmlAvailable download formats
    Dataset updated
    Jul 6, 2023
    Dataset provided by
    San Joaquin County, CA - GIS
    Authors
    Department of Public Works
    Description

    {{description}}

  7. c

    San Diego 2024 Roll Year

    • gis.data.ca.gov
    • hub.arcgis.com
    • +1more
    Updated May 31, 2024
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    California Department of Tax and Fee Administration (2024). San Diego 2024 Roll Year [Dataset]. https://gis.data.ca.gov/maps/51c182a3e7ab490a87574235c22eea05
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    Dataset updated
    May 31, 2024
    Dataset authored and provided by
    California Department of Tax and Fee Administration
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Tax rate area boundaries and related data based on changes filed with the Board of Equalization per Government Code 54900 for the specified assessment roll year. The data included in this map is maintained by the California State Board of Equalization and may differ slightly from the data published by other agencies. BOE_TRA layer = tax rate area boundaries and the assigned TRA number for the specified assessment roll year; BOE_Changes layer = boundary changes filed with the Board of Equalization for the specified assessment roll year; Data Table (C##_YYYY) = tax rate area numbers and related districts for the specified assessment roll year

  8. San Diego 2017 4-inch imagery

    • wifire-data.sdsc.edu
    • hub.arcgis.com
    esri rest, html
    Updated Jul 9, 2018
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    San Diego Association of Governments (2018). San Diego 2017 4-inch imagery [Dataset]. https://wifire-data.sdsc.edu/dataset/san-diego-2017-4-inch-imagery
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    html, esri restAvailable download formats
    Dataset updated
    Jul 9, 2018
    Dataset provided by
    San Diego Association Of Governmentshttp://www.sandag.org/
    Area covered
    San Diego
    Description

    The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible.
    SD2017_4inch Metadata

  9. TIGER/Line Shapefile, 2022, County, San Diego County, CA, Topological Faces...

    • catalog.data.gov
    • datasets.ai
    Updated Jan 27, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, County, San Diego County, CA, Topological Faces (Polygons With All Geocodes) [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-county-san-diego-county-ca-topological-faces-polygons-with-all-geocod
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    Dataset updated
    Jan 27, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    United States Department of Commercehttp://commerce.gov/
    Area covered
    California, San Diego County
    Description

    The TIGER/Line shapefiles and related database files (.dbf) 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 shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

  10. c

    San Diego 2023 Roll Year

    • gis.data.ca.gov
    • hub.arcgis.com
    Updated May 22, 2023
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    California Department of Tax and Fee Administration (2023). San Diego 2023 Roll Year [Dataset]. https://gis.data.ca.gov/maps/bd99eb58635d447ca50bd84e16522ec8
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    Dataset updated
    May 22, 2023
    Dataset authored and provided by
    California Department of Tax and Fee Administration
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Tax rate area boundaries and related data based on changes filed with the Board of Equalization per Government Code 54900 for the specified assessment roll year. The data included in this map is maintained by the California State Board of Equalization and may differ slightly from the data published by other agencies. BOE_TRA layer = tax rate area boundaries and the assigned TRA number for the specified assessment roll year; BOE_Changes layer = boundary changes filed with the Board of Equalization for the specified assessment roll year; Data Table (C##_YYYY) = tax rate area numbers and related districts for the specified assessment roll year

  11. c

    Multiple Species Conservation Program Cores and Linkages - San Diego County...

    • map.dfg.ca.gov
    Updated Apr 5, 2018
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    (2018). Multiple Species Conservation Program Cores and Linkages - San Diego County [ds2771] GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds2771.html
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    Dataset updated
    Apr 5, 2018
    Area covered
    San Diego County
    Description

    CDFW BIOS GIS Dataset, Contact: Emily Perkins, Description: This dataset was created for analytical purposes to assist in testing preserve design and levels of species conservation. The habitat linkages are linkages between the core resource areas. Core areas are defined in the MSCP plan as areas generally supporting a high concentration of sensitive biological resources which, if lost or fragmented, could not be replaced or mitigated elsewhere. Biological core areas identified in 1997 by the San Diego Multiple Species Conservation Program (MSCP).

  12. San Diego Maritime 3D Scene

    • hub.arcgis.com
    Updated Jun 23, 2016
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    Esri Hydrographic Office (2016). San Diego Maritime 3D Scene [Dataset]. https://hub.arcgis.com/maps/EsriHO::san-diego-maritime-3d-scene/about
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    Dataset updated
    Jun 23, 2016
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Hydrographic Office
    Area covered
    San Diego
    Description

    This sample Web Scene demonstrates how you can bring a Maritime Chart Service web service into a 3D scene. For this example, the ENC land features are turned off to allow for the display of 3D land features.ArcGIS Maritime server extension's Maritime Chart Service (MCS) capability is a Server Object Extension that provides both OGC WMS and Esri RESTful web services to quickly view and query your S-57 or S-63 encrypted datasets.The primary ENC data in this web service was downloaded from NOAA's public site. Datasets are not guaranteed to be kept up-to-date and are for demonstration purposes only. To learn more about this product visit ArcGIS Maritime.

  13. San Diego 2017 9-inch imagery

    • wifire-data.sdsc.edu
    • hub.arcgis.com
    esri rest, html
    Updated Jul 9, 2018
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    San Diego Association of Governments (2018). San Diego 2017 9-inch imagery [Dataset]. https://wifire-data.sdsc.edu/dataset/san-diego-2017-9-inch-imagery
    Explore at:
    esri rest, htmlAvailable download formats
    Dataset updated
    Jul 9, 2018
    Dataset provided by
    San Diego Association Of Governmentshttp://www.sandag.org/
    Area covered
    San Diego
    Description

    The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible.The dataset consists of tiled orthogonal imagery produced from nadir images captured by Pictometry International. Automatic aerial triangulation (AAT) was performed. The triangulated frames were rectified to a LiDAR derived DEM. Mosaicing was performed using an automatic seaming algorithm and manually edited to eliminate seams through elevated features where possible.
    SD2017_9inch Metadata

  14. a

    San Diego Watersheds

    • hub.arcgis.com
    • recreation.cag.escondido.org
    Updated Sep 23, 2019
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    City of Escondido (2019). San Diego Watersheds [Dataset]. https://hub.arcgis.com/maps/CityofEscondido::san-diego-watersheds
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    Dataset updated
    Sep 23, 2019
    Dataset authored and provided by
    City of Escondido
    Area covered
    Description

    This is a subset of a hosted web service provided and managed by USGS. The data only includes features within the San Diego region. For more information, visit the USGS Watershed Boundary Dataset resource pageThis dataset contains the 10-digit Hydrologic Unit polygon boundaries for the San Diego region, representing watersheds in the USGS hierarchy.

  15. d

    NCCP Gains & Losses - San Diego [ds892]

    • catalog.data.gov
    • data.cnra.ca.gov
    • +5more
    Updated Nov 27, 2024
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    California Department of Fish and Wildlife (2024). NCCP Gains & Losses - San Diego [ds892] [Dataset]. https://catalog.data.gov/dataset/nccp-gains-losses-san-diego-ds892-42414
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Fish and Wildlife
    Area covered
    San Diego
    Description

    An NCCP identifies and provides for the regional protection of plants, animals, and their habitats, while allowing compatible and appropriate economic activity. Working with landowners, environmental organizations, and other interested parties, a local agency oversees the numerous activities that compose the development of an NCCP. CDFW and the U.S. Fish and Wildlife Service provide the necessary support, direction, and guidance to NCCP participants. HabiTrak consolidates the NCCP Habitat Gains and Losses into a single system.

  16. Digital Surficial Geologic-GIS Map of American Camp Area, San Juan Island...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jun 5, 2024
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    Digital Surficial Geologic-GIS Map of American Camp Area, San Juan Island National Historical Park, Washington (NPS, GRD, GRI, SAJH, SJIS_surficial digital map) adapted from a Washington Division of Geology and Earth Resources Open File Report map by Dethier, White and Brookfield (1996) [Dataset]. https://catalog.data.gov/dataset/digital-surficial-geologic-gis-map-of-american-camp-area-san-juan-island-national-historic
    Explore at:
    Dataset updated
    Jun 5, 2024
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    San Juan Island, United States, Washington
    Description

    The Digital Surficial Geologic-GIS Map of American Camp Area, San Juan Island National Historical Park, Washington is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (sjis_surficial_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (sjis_surficial_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (sjis_surficial_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) this file (sajh_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (sajh_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (sjis_surficial_geology_metadata_faq.pdf). Please read the sajh_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Washington Division of Geology and Earth Resources. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (sjis_surficial_geology_metadata.txt or sjis_surficial_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

  17. Jurisdictions

    • wifire-data.sdsc.edu
    csv, esri rest +4
    Updated Jul 9, 2018
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    San Diego Association of Governments (2018). Jurisdictions [Dataset]. https://wifire-data.sdsc.edu/dataset/jurisdictions
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    html, csv, geojson, zip, esri rest, kmlAvailable download formats
    Dataset updated
    Jul 9, 2018
    Dataset provided by
    San Diego Association Of Governmentshttp://www.sandag.org/
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Local jurisdctions in the San Diego region based on the MUNICIPAL_BOUNDARIES layer in the Regional GIS Data Warehouse.

  18. s

    GIS Data CDs

    • data.stlouisco.com
    • data-stlcogis.opendata.arcgis.com
    • +5more
    Updated Apr 8, 2019
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    Saint Louis County GIS Service Center (2019). GIS Data CDs [Dataset]. https://data.stlouisco.com/documents/stlcogis::gis-data-cds/about
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    Dataset updated
    Apr 8, 2019
    Dataset authored and provided by
    Saint Louis County GIS Service Center
    Description

    PDF. Link to Metadata. Order form for GIS Data on CD. Please note: Many GIS data layers are available for download at the St. Louis County GIS Service Center Open Data Site: http://openstlco.stlcogis.opendata.arcgis.com/.GIS Data CD Features:ArcGIS Shapefile formatState Plane Coordinate System, Missouri East, NAD1983 FeetCD 1 contains Base Map layers (e.g. jurisdictional boundaries, political areas, streets, etc.)CD 2 contains Parcel Data (e.g. parcel boundaries, ownership, valuation, etc.)Published: January 2019Cost: $15.27 eachTo order GIS Data CDs, please contact:Tracy HillImaging TechnicianSt. Louis County Records Center10275 Page Industrial CtSt. Louis, MO 63132Phone: 314.615.3715Fax: 314.615.3730Please note: Many GIS data layers are available for download at the St. Louis County GIS Service Center Open Data Site: http://data.stlouisco.com/.

  19. S

    How to Use GIS Open Data Portal

    • data.sanjoseca.gov
    html
    Updated Oct 6, 2020
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    Enterprise GIS (2020). How to Use GIS Open Data Portal [Dataset]. https://data.sanjoseca.gov/dataset/how-to-use-gis-open-data-portal
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    htmlAvailable download formats
    Dataset updated
    Oct 6, 2020
    Dataset provided by
    City of San José
    Authors
    Enterprise GIS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This page contains the help documentation for the GIS Open Data Portal. Refer to https://gisdata-csj.opendata.arcgis.com/pages/help.

  20. c

    San Diego 2022 Roll Year

    • gis.data.ca.gov
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated May 19, 2022
    + more versions
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    California Department of Tax and Fee Administration (2022). San Diego 2022 Roll Year [Dataset]. https://gis.data.ca.gov/maps/bb0dd0f1c2fa40e192eafee114173d0d
    Explore at:
    Dataset updated
    May 19, 2022
    Dataset authored and provided by
    California Department of Tax and Fee Administration
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Tax rate area boundaries and related data based on changes filed with the Board of Equalization per Government Code 54900 for the specified assessment roll year. The data included in this map is maintained by the California State Board of Equalization and may differ slightly from the data published by other agencies. BOE_TRA layer = tax rate area boundaries and the assigned TRA number for the specified assessment roll year; BOE_Changes layer = boundary changes filed with the Board of Equalization for the specified assessment roll year; Data Table (C##_YYYY) = tax rate area numbers and related districts for the specified assessment roll year

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(2018). Focused Planning Areas - Northwestern San Diego County - MHCP [ds2770] GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds2770.html

Focused Planning Areas - Northwestern San Diego County - MHCP [ds2770] GIS Dataset

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Dataset updated
Apr 5, 2018
Area covered
San Diego County
Description

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.

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