These data provide an accurate high-resolution shoreline compiled from imagery of Port of San Francisco, 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 Attr...

Analysis of ‘Zoning Map - Zoning Districts’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/28f51f62-ddc4-40c4-8e22-32de984f2745 on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Zoning Districts City and County of San Francisco Planning Department. The Zoning Districts are the main component of the Zoning Map. The Zoning Map comprises: - Zoning Districts - Height and Bulk Districts - Special Use Districts - Preservation Districts - Coastal Zone Area - Special Sign Districts The official Zoning Map can be found in the San Francisco Planning Code: http://library.municode.com/index.aspx?clientId=14145&stateId=5&stateName=California (click on the links under ZONING MAPS on the left navigation column). Summaries of the Zoning District codes can be found here: http://www.sf-planning.org/index.aspx?page=1580 Section 105 of the Planning Code states: "The designations, locations and boundaries of the districts established by this Code shall be shown upon the "Zoning Map of the City and County of San Francisco," which shall consist of a series of numbered sectional maps. Wherever any uncertainty exists as to the boundary of any district as shown on said sectional maps, the following rules shall apply: (a) Where boundary lines are indicated as following streets and alleys within the right-of-way, they shall be construed as following the centerlines of such streets and alleys; (b) Where boundary lines are indicated as approximately following lot lines, such lot lines shall be construed to be such boundaries; (c) Where a boundary line divides a lot or crosses unsubdivided property; the location of such boundary shall be as indicated upon the Zoning Map using the scale appearing on such map; (d) Where further uncertainty exists, the City Planning Commission upon written application, or on its own motion, shall by resolution determine the location of a disputed boundary giving due consideration to the apparent indicated location thereof and the scale of the Zoning Map and the express purposes of this Code; (e) Wherever any property is not under these rules specifically included in any use district shown on the Zoning Map, such property is hereby declared to be in an RH-1(D) District, except that all property owned on the effective date of this amendment by the United States of America, State of California, City and County of San Francisco, or other governmental agency and within the City and County of San Francisco but not within the area covered by Sectional Maps Nos. 1 through 13 of the Zoning Map is hereby declared to be in a P (Public Use) District unless reclassified in accordance with the provisions of this Code; (f) Wherever any property is not under these rules specifically included in any height and bulk district shown on the Zoning Map, such property is hereby declared to be in a 40-X height and bulk district, except that all property owned on the effective date of this amendment by the United States of America, State of California, City and County of San Francisco, or other governmental agency and within the City and County of San Francisco but not within the area covered by Sectional Maps Nos. 1H through 13H of the Zoning Map is hereby declared to be in an OS (Open Space) District unless reclassified in accordance with the provisions of this Code, with the exception of Yerba Buena Island and Treasure Island which are hereby declared to be in a 40-X height and bulk district."Updated quarterly.

--- Original source retains full ownership of the source dataset ---

A. SUMMARY This dataset delineates parcels with “Taxable Commercial Space” - meaning parcels where one or more property owner(s) and/or commercial tenant(s) are required to file or pay the Commercial Vacancy Tax. The dataset includes the Block, Lot, Parcel Number and Parcel Situs Address for each commercial parcel within the named Districts. Information about each filing received for the parcel is included, such as Filer Type (Owner / Tenant), Filer Name, Parcel Situs Address from the Filing, and Tax Year filed. The dataset also includes whether a parcel is vacant, and if so, the tax rate applied. A single parcel may have multiple addresses and/or filings depending on the number of units and access points. Parcels marked as vacant either reported as vacant in the tax filing or were determined to be vacant by the Tax Collector. All information displayed is subject to audit by the Tax Collector.

If you are a taxpayer and need to update the information displayed, you should re-file https://sftreasurer.org/CommercialVacancy or contact the Tax Collector for assistance.

If you wish to share information about a vacant property subject to the Commercial Vacancy Tax with the Tax Collector to assist with enforcement, visit https://sftreasurer.org/report-vacant-commercial-property

B. HOW THE DATASET IS CREATED This dataset delineates parcels with “Taxable Commercial Space” - meaning parcels where one or more property owner(s) and/or commercial tenant(s) are required to file or pay the Commercial Vacancy Tax. The dataset includes the Block, Lot, Parcel Number and Parcel Situs Address for each commercial parcel within the named Districts. Information about each filing received for the parcel is included, such as Filer Type (Owner / Tenant), Filer Name, Parcel Situs Address from Filing, Tax Year filed, whether the filer reported a vacancy, and if so, the tax rate applied. A single parcel may have multiple addresses and/or filings depending on the number of units and access points. The information displayed is reported by the taxpayers and subject to audit by the Tax Collector.

C. UPDATE PROCESS Data will be refreshed daily until further notice.

D. HOW TO USE THIS DATASET The Commercial Vacancy Tax dataset provides detailed information on commercial properties in San Francisco’s designated Neighborhood Commercial Districts and Neighborhood Commercial Transit Districts that are subject to the Commercial Vacancy Tax. This dataset includes key identifiers such as Block, Lot, Parcel Number, and Situs Address for each commercial parcel. It also lists information for each filing received from property owners, and tenants, including whether the filer reported a space as vacant and, if so, the applicable tax rate. Users can utilize this dataset to identify vacant commercial spaces and assess tax compliance.

E. RELATED DATASETS Registered business location – San Francisco San Francisco Property Information Map Assessor Block Maps

F. KNOWN USES The Commercial Vacancy Tax dataset is primarily used by the San Francisco Office of the Treasurer & Tax Collector to monitor compliance with the city’s Commercial Vacancy Tax ordinance. It supports enforcement by identifying Commercial Space that may be subject to the tax and verifying reported vacancy status. Additionally, researchers, journalists, and community organizations access the data to study the impacts of vacant storefronts.

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 Digital Geologic Map of the San Francisco North Quadrangle and part the Point Bonita Quadrangle, California is composed of GIS data layers complete with ArcMap 9.3 layer (.LYR) files, two ancillary GIS tables, a Map PDF document with ancillary map text, figures and tables, a FGDC metadata record and a 9.3 ArcMap (.MXD) Document that displays the digital map in 9.3 ArcGIS. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: USGS. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation sections(s) of this metadata record (sfno_metadata.txt; available at http://nrdata.nps.gov/goga/nrdata/geology/gis/sfno_metadata.xml). All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.1. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.3 personal geodatabase (sfno_geology.mdb), and as shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 10N. That data is within the area of interest of Fort Point National Historic Site and Golden Gate National Recreation Area.

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

As of November 2023, this map has been updated to use a new format. For details, please see here.
Note: Due to the large file size the Shapefile export option does not work. To access geospatial data please select GeoJSON from the export menu

This data set includes the Office of the Assessor-Recorder’s secured property tax roll spanning from July 1, 2007 to June 30, 2023. It includes all legally disclosable information, including location of property, value of property, the unique property identifier, and specific property characteristics. The data is used to accurately and fairly appraise all taxable property in the City and County of San Francisco. The Office of the Assessor-Recorder makes no representation or warranty that the information provided is accurate and/or has no errors or omissions.

This dataset is updated annually after the roll is closed and certified. This typically happens by August of each year.

This eelgrass layer includes the maximum extent of eelgrass beds that have been surveyed in the San Francisco Bay shown in green. It was created by merging the Bay-wide eelgrass surveys conducted by Merkel & Associates, Inc. (Merkel) in 2003, 2009, 2014, and a Richardson Bay survey conducted by Merkel in 2019. Merkel has granted permission for public use of these data. These eelgrass surveys represent the best available data on comprehensive eelgrass extent throughout San Francisco Bay in 2021 and are developed using a combination of acoustic and aerial surveys and site-specific ground truthing. This layer may be used as a reference to determine potential direct and indirect impacts to eelgrass habitat from dredging projects. These data do not replace the need for site-specific eelgrass surveys.Data from the 2003, 2009, and 2014 eelgrass surveys and associated Merkel reports which include information on mapping methodology are available for download on the San Francisco Estuary Institute’s (SFEI) website. Methods for creating this layer are as follows:Downloaded the Merkel Baywide Eelgrass Surveys for 2003, 2009, and 2014 from SFEI and combined into a single layer. Obtained original Richardson Bay 2019 eelgrass survey data from Merkel. Loaded all layers into ArcGIS Pro © ESRI and re-projected all data to the NAD 1983 UTM Zone 10N coordinate system. Ran union of both the SFEI and Richardson Bay 2019 layers. Merged features to create one single attribute table for eelgrass cover from all survey years. Removed extraneous columns in the attribute table, recalculated area fields based on new extent, and applied symbology.

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

Comprehensive Airport Land Use Compatibility Plan for the Environs of San Francisco International Airport, 2012

In 2007, the California Ocean Protection Council initiated the California Seafloor Mapping Program (CSMP), designed to create a comprehensive seafloor map of high-resolution bathymetry, marine benthic habitats, and geology within California’s State Waters. The program supports a large number of coastal-zone- and ocean-management issues, including the California Marine Life Protection Act (MLPA) (California Department of Fish and Wildlife, 2008), which requires information about the distribution of ecosystems as part of the design and proposal process for the establishment of Marine Protected Areas. A focus of CSMP is to map California’s State Waters with consistent methods at a consistent scale. The CSMP approach is to create highly detailed seafloor maps through collection, integration, interpretation, and visualization of swath sonar data (the undersea equivalent of satellite remote-sensing data in terrestrial mapping), acoustic backscatter, seafloor video, seafloor photography, high-resolution seismic-reflection profiles, and bottom-sediment sampling data. The map products display seafloor morphology and character, identify potential marine benthic habitats, and illustrate both the surficial seafloor geology and shallow (to about 100 m) subsurface geology. It is emphasized that the more interpretive habitat and geology data rely on the integration of multiple, new high-resolution datasets and that mapping at small scales would not be possible without such data. This approach and CSMP planning is based in part on recommendations of the Marine Mapping Planning Workshop (Kvitek and others, 2006), attended by coastal and marine managers and scientists from around the state. That workshop established geographic priorities for a coastal mapping project and identified the need for coverage of “lands” from the shore strand line (defined as Mean Higher High Water; MHHW) out to the 3-nautical-mile (5.6-km) limit of California’s State Waters. Unfortunately, surveying the zone from MHHW out to 10-m water depth is not consistently possible using ship-based surveying methods, owing to sea state (for example, waves, wind, or currents), kelp coverage, and shallow rock outcrops. Accordingly, some of the data presented in this series commonly do not cover the zone from the shore out to 10-m depth. This data is part of a series of online U.S. Geological Survey (USGS) publications, each of which includes several map sheets, some explanatory text, and a descriptive pamphlet. Each map sheet is published as a PDF file. Geographic information system (GIS) files that contain both ESRI ArcGIS raster grids (for example, bathymetry, seafloor character) and geotiffs (for example, shaded relief) are also included for each publication. For those who do not own the full suite of ESRI GIS and mapping software, the data can be read using ESRI ArcReader, a free viewer that is available at http://www.esri.com/software/arcgis/arcreader/index.html (last accessed September 20, 2013). The California Seafloor Mapping Program is a collaborative venture between numerous different federal and state agencies, academia, and the private sector. CSMP partners include the California Coastal Conservancy, the California Ocean Protection Council, the California Department of Fish and Wildlife, the California Geological Survey, California State University at Monterey Bay’s Seafloor Mapping Lab, Moss Landing Marine Laboratories Center for Habitat Studies, Fugro Pelagos, Pacific Gas and Electric Company, National Oceanic and Atmospheric Administration (NOAA, including National Ocean Service–Office of Coast Surveys, National Marine Sanctuaries, and National Marine Fisheries Service), U.S. Army Corps of Engineers, the Bureau of Ocean Energy Management, the National Park Service, and the U.S. Geological Survey. These web services for the Offshore of San Francisco map area includes data layers that are associated to GIS and map sheets available from the USGS CSMP web page at https://walrus.wr.usgs.gov/mapping/csmp/index.html. Each published CSMP map area includes a data catalog of geographic information system (GIS) files; map sheets that contain explanatory text; and an associated descriptive pamphlet. This web service represents the available data layers for this map area. Data was combined from different sonar surveys to generate a comprehensive high-resolution bathymetry and acoustic-backscatter coverage of the map area. These data reveal a range of physiographic including exposed bedrock outcrops, large fields of sand waves, as well as many human impacts on the seafloor. To validate geological and biological interpretations of the sonar data, the U.S. Geological Survey towed a camera sled over specific offshore locations, collecting both video and photographic imagery; these “ground-truth” surveying data are available from the CSMP Video and Photograph Portal at https://doi.org/10.5066/F7J1015K. The “seafloor character” data layer shows classifications of the seafloor on the basis of depth, slope, rugosity (ruggedness), and backscatter intensity and which is further informed by the ground-truth-survey imagery. The “potential habitats” polygons are delineated on the basis of substrate type, geomorphology, seafloor process, or other attributes that may provide a habitat for a specific species or assemblage of organisms. Representative seismic-reflection profile data from the map area is also include and provides information on the subsurface stratigraphy and structure of the map area. The distribution and thickness of young sediment (deposited over the past about 21,000 years, during the most recent sea-level rise) is interpreted on the basis of the seismic-reflection data. The geologic polygons merge onshore geologic mapping (compiled from existing maps by the California Geological Survey) and new offshore geologic mapping that is based on integration of high-resolution bathymetry and backscatter imagery seafloor-sediment and rock samplesdigital camera and video imagery, and high-resolution seismic-reflection profiles. The information provided by the map sheets, pamphlet, and data catalog has a broad range of applications. High-resolution bathymetry, acoustic backscatter, ground-truth-surveying imagery, and habitat mapping all contribute to habitat characterization and ecosystem-based management by providing essential data for delineation of marine protected areas and ecosystem restoration. Many of the maps provide high-resolution baselines that will be critical for monitoring environmental change associated with climate change, coastal development, or other forcings. High-resolution bathymetry is a critical component for modeling coastal flooding caused by storms and tsunamis, as well as inundation associated with longer term sea-level rise. Seismic-reflection and bathymetric data help characterize earthquake and tsunami sources, critical for natural-hazard assessments of coastal zones. Information on sediment distribution and thickness is essential to the understanding of local and regional sediment transport, as well as the development of regional sediment-management plans. In addition, siting of any new offshore infrastructure (for example, pipelines, cables, or renewable-energy facilities) will depend on high-resolution mapping. Finally, this mapping will both stimulate and enable new scientific research and also raise public awareness of, and education about, coastal environments and issues. Web services were created using an ArcGIS service definition file. The ArcGIS REST service and OGC WMS service include all Offshore of San Francisco map area data layers. Data layers are symbolized as shown on the associated map sheets.

This data set comprises the Environmental Sensitivity Index (ESI) maps for the shoreline of San Francisco Bay. ESI data characterize estuarine 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. This atlas was developed to be utilized within desktop GIS systems and contains GIS files and related D-base files. Associated files include MOSS (Multiple Overlay Statistical System) export files, .PDF maps, and detailed user guides and metadata. A later version of these data was released in March 2007 and is filed under NODC accession number 0036884.

These data were automated to provide an accurate high-resolution historical shoreline of San Francisco 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://www.fisheries.noaa.gov/inport/item/39808

This dataset has been replaced by the following datasets: Planning Department Records - Projects Planning Department Records - Non-Projects

Data from the Planning Department's Accela permitting system.

A. SUMMARY All records from the San Francisco Planning Department's permit and project tracking system.

B. HOW THE DATASET IS CREATED Records have been joined to associated parcels to map each record.

C. UPDATE PROCESS Updated nightly

D. HOW TO USE THIS DATASET For further information on permits: https://sfplanning.org/permits Record types are listed here: https://sfplanning.org/resource/project-suffixes-and-descriptions-case-numbers

This shapefile contains tax rate area (TRA) boundaries in San Francisco County for the specified assessment roll year. Boundary alignment is based on the 2014 county parcel map. A tax rate area (TRA) is a geographic area within the jurisdiction of a unique combination of cities, schools, and revenue districts that utilize the regular city or county assessment roll, per Government Code 54900. Each TRA is assigned a six-digit numeric identifier, referred to as a TRA number. TRA = tax rate area number