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) System (MTS). The MTS 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 MTS Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in the MTS 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.

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.

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 attribution scheme 'Coastal Cartographic Object Attribute Source Table (C-COAST)' was developed to conform the attribution of various sources of shoreline data into one attribution catalog. C-COAST is not a recognized standard, but was influenced by the International Hydrographic Organization's S-57 Object-Attribute standard so the data would be more accurately translated into S-57. This resource is a member of https://res1wwwd-o-tfisheriesd-o-tnoaad-o-tgov.vcapture.xyz/inport/item/39808

This dataset is a collection of the current base zone designations applied to property in the City of San Diego, as per the Official Zoning Map adopted by the City Council on February 28, 2006, and all subsequent updates.Residential Base Zones (RE, RS, RX, RT, RM) https://docs.sandiego.gov/municode/MuniCodeChapter13/Ch13Art01Division04.pdf Areas designated for single and multi-family residences. More information about Residential Base Zone regulations are available from https://www.sandiego.gov/development-services/zoning/zoninginfo/zoninginfo130104 Commercial Base Zones (CN, CR, CO, CV, CP, CC) https://docs.sandiego.gov/municode/MuniCodeChapter13/Ch13Art01Division05.pdf Areas intended for businesses that provide consumer goods and services as well as a wide variety of commercial, retail, office and recreational uses. Industrial Base Zones (IP, IL, IH, IS, IBT) https://docs.sandiego.gov/municode/MuniCodeChapter13/Ch13Art01Division06.pdf Areas intended for research and development, factories, warehousing and other industrial uses. Mixed-Use Base Zones (RMX, EMX) https://docs.sandiego.gov/municode/MuniCodeChapter13/Ch13Art01Division07.pdf

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.

The purpose of this project was to describe each of the native and naturalized vegetation types known to occur within western San Diego County and to provide the user a means to determine each type through direct observations of species composition. The classification presented herein is the result of a detailed analysis of data collected throughout the western San Diego County study area. Under contract to the San Diego Association of Governments (SANDAG), Biologists from AECOM, Conservation Biology Institute, and the California Department of Fish and Game (CDFG) Vegetation Classification and Mapping Program (VegCAMP) collaborated on these analyses, the definition of the classifications, and preparation of this manual. This classification study was conducted in a manner consistent with the recommendations for standardized data collection and analysis by CDFG VegCAMP (https://wildlife.ca.gov/Data/VegCAMP) and the methods used in the preparation of A Manual of California Vegetation, 2nd ed. (Sawyer; Keeler-Wolf; Evens 2009), published by the California Native Plant Society (CNPS). This projects classifications is in accordance with this larger work. A Manual of California Vegetation (MCV) is intentionally consistent within the larger context of the National Vegetation Classification System (NVCS), which has been adopted by federal agencies and nongovernmental organizations such as the US Geological Survey, National Park Service, and NatureServe. Thus each of these classifications can be compared in context with the others nationwide.

CDFW BIOS GIS Dataset, Contact: Eric Zahn, Description: This dataset represents a summary of SDTT data collected from 1996-2006. Any track or sign identified from 15 target animals was recorded. Surveys consisted of transects of approximately one mile in length and 30 feet in width along designated dirt trails and roads throughout open space lands in San Diego County.

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.

These data provide an accurate high-resolution shoreline compiled from imagery of San Diego Bay, Ca . This vector shoreline data is based on an office interpretation of imagery that may be suitable as a geographic information system (GIS) data layer. This metadata describes information for both the line and point shapefiles. The NGS attribution scheme 'Coastal Cartographic Object Attribute So...

Point feature layer of City of San Diego library locations with associated website and contact information, created by the County of San Diego Department of Public Works GIS, in conjunction with San Diego County Library (SDCL).

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

Geospatial data about City of San Diego, California Roads. Export to CAD, GIS, PDF, CSV and access via API.

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

The California Department of Fish and Wildlife Vegetation Classification and Mapping Program (VegCAMP) created a fine-scale vegetation classification and map of the Department's Oak Grove property, San Diego County, California following FGDC and National Vegetation Classification Standards. The vegetation classification was derived from floristic field survey data collected in the field in May 2010 and was based on previously described Alliances and Associations. The map was produced using true-color 2009 1-meter National Agricultural Imagery Program (NAIP) imagery as the base. Supplemental imagery including 2005 1-meter California Color Infrared (CIR) and true-color 1-foot aerial imagery available through GlobeXplorer ImageConnect were also used. The minimum mapping unit (MMU) is one acre, with the exception of wetland types, which were sometimes mapped to ½ acre. Field verification of 45 percent of the mapped polygons was conducted in June 2011; in combination with the 2010 sampling effort, 83 percent of the polygons were verified in the field.

The Vegetation Map of Cañada de San Vicente (CSV), San Diego County, was created by the California Department of Fish and Game (DFG) Vegetation and Mapping Program (VegCAMP). CSV, formerly known as Monte Vista Ranch, was acquired in April 2009 by DFG and is currently not open to the public as the management plan is not complete. The map study area boundary is based on the DFG Lands layer that was published in April, 2011 and includes 4888 acres of land. This includes 115 acres of private land located in the northeast corner of the map that was considered an area of interest (AOI) before purchase by DFG. The map is based on field data from 38 vegetation Rapid Assessment surveys (RAs), 111 reconnaissance points, and 118 verification points that were conducted between April 2009 and January 2012. The rapid assessment surveys were collected as part of a comprehensive effort to create the Vegetation Classification Manual for Western San Diego County (Sproul et al., 2011). A total of 1265 RAs and 18 relevés were conducted for this larger project, all of which were analyzed together using cluster analysis to develop the final vegetation classification. The CSV area was delineated by vegetation type and each polygon contains attributes for hardwood tree, shrub and herb cover, roadedness, development, clearing, and heterogeneity. Of 545 woodland and shrubland polygons that were delineated, 516 were mapped to the association level and 29 to the alliance level (due to uncertainty in the association). Of 46 herbaceous polygons that were delineated, 36 were mapped to the group or macrogroup level and 8 were mapped to association. Four polygons were mapped as urban or agriculture. The classification and map follow the National Vegetation Classification Standard (NVCS) and Federal Geographic Data Committee (FGDC) standard and State of California Vegetation and Mapping Standards. The minimum mapping area unit (MMU) is one acre, though occasionally, vegetation is mapped below MMU for special types including wetland, riparian, and native herbaceous and when it was possible to delineate smaller stands with a high degree of certainty (e.g., with available field data). In total, about 45 percent of the polygons were supported by field data points and 55 percent were based on photointerpretation.

CDFW BIOS GIS Dataset, Contact: U.S. Fish & Wildlife Service USFWS, Description: These data identify, in general, the areas where proposed critical habitat for Acanthomintha ilicifolia (San Diego thornmint) occur. To provide the user with a general idea of areas where proposed critical habitat for Acanthomintha ilicifolia (San Diego thornmint) occur.

These data were automated to provide an accurate high-resolution historical shoreline of San Diego Bay and Vicinity, CA 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. Th...

Vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.

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.

The datasets used in the creation of the predicted Habitat Suitability models includes the CWHR range maps of Californias regularly-occurring vertebrates which were digitized as GIS layers to support the predictions of the CWHR System software. These vector datasets of CWHR range maps are one component of California Wildlife Habitat Relationships (CWHR), a comprehensive information system and predictive model for Californias wildlife. The CWHR System was developed to support habitat conservation and management, land use planning, impact assessment, education, and research involving terrestrial vertebrates in California. CWHR contains information on life history, management status, geographic distribution, and habitat relationships for wildlife species known to occur regularly in California. Range maps represent the maximum, current geographic extent of each species within California. They were originally delineated at a scale of 1:5,000,000 by species-level experts and have gradually been revised at a scale of 1:1,000,000. For more information about CWHR, visit the CWHR webpage (https://www.wildlife.ca.gov/Data/CWHR). The webpage provides links to download CWHR data and user documents such as a look up table of available range maps including species code, species name, and range map revision history; a full set of CWHR GIS data; .pdf files of each range map or species life history accounts; and a User Guide.The models also used the CALFIRE-FRAP compiled "best available" land cover data known as Fveg. This compilation dataset was created as a single data layer, to support the various analyses required for the Forest and Rangeland Assessment, a legislatively mandated function. These data are being updated to support on-going analyses and to prepare for the next FRAP assessment in 2015. An accurate depiction of the spatial distribution of habitat types within California is required for a variety of legislatively-mandated government functions. The California Department of Forestry and Fire Protections CALFIRE Fire and Resource Assessment Program (FRAP), in cooperation with California Department of Fish and Wildlife VegCamp program and extensive use of USDA Forest Service Region 5 Remote Sensing Laboratory (RSL) data, has compiled the "best available" land cover data available for California into a single comprehensive statewide data set. The data span a period from approximately 1990 to 2014. Typically the most current, detailed and consistent data were collected for various regions of the state. Decision rules were developed that controlled which layers were given priority in areas of overlap. Cross-walks were used to compile the various sources into the common classification scheme, the California Wildlife Habitat Relationships (CWHR) system.CWHR range data was used together with the FVEG vegetation maps and CWHR habitat suitability ranks to create Predicted Habitat Suitability maps for species. The Predicted Habitat Suitability maps show the mean habitat suitability score for the species, as defined in CWHR. CWHR defines habitat suitability as NO SUITABILITY (0), LOW (0.33), MEDIUM (0.66), or HIGH (1) for reproduction, cover, and feeding for each species in each habitat stage (habitat type, size, and density combination). The mean is the average of the reproduction, cover, and feeding scores, and can be interpreted as LOW (less than 0.34), MEDIUM (0.34-0.66), and HIGH (greater than 0.66) suitability. Note that habitat suitability ranks were developed based on habitat patch sizes >40 acres in size, and are best interpreted for habitat patches >200 acres in size. The CWHR Predicted Habitat Suitability rasters are named according to the 4 digit alpha-numeric species CWHR ID code. The CWHR Species Lookup Table contains a record for each species including its CWHR ID, scientific name, common name, and range map revision history (available for download at https://www.wildlife.ca.gov/Data/CWHR).