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.

PDF maps of each block in San Francisco created by the San Francisco Office of the Assessor-Recorder. The maps display blocks and parcels with dimensions in feet.

Map 1 Current Land Use San Francisco
This dataset falls under the category Traffic Generating Parameters Land Cover.
It contains the following data: PPOT SAN FRANCISCO
This dataset was scouted on 2022-02-23 as part of a data sourcing project conducted by TUMI. License information might be outdated: Check original source for current licensing. The data can be accessed using the following URL / API Endpoint: https://dpu.mupa.gob.pa/wp-content/uploads/2017/06/PPOTSF_F1_01_Mapa_Usos-actual-del-suelo.pdfSee URL for data access and license information.

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.

MAP Strategies is a seasoned organization that excels in navigating the complex regulatory process for real estate and construction compliance. With a wealth of experience in streamlining processes, the team at MAP Strategies is dedicated to driving projects towards successful completion. From historic landmark status to coordinated infrastructure projects, MAP Strategies has extensive knowledge in handling various aspects of real estate compliance.

With a proven track record of building strong relationships with city agencies, MAP Strategies provides comprehensive guidance across all disciplines necessary for code compliance and permitting. The organization is headquartered in Chicago, with locations in Los Angeles, San Francisco, and Seattle, and has received various certifications, including Women Owned Business (WBE) status. By offering unparalleled concierge service and expert guidance, MAP Strategies has established itself as a premier partner for developers and construction professionals.

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

This project traces the history of urban planning in San Francisco, placing special emphasis on unrealized schemes. Rather than using visual material simply to illustrate outcomes, Imagined San Francisco uses historical plans, maps, architectural renderings, and photographs to show what might have been. By enabling users to layer a series of urban plans, the project presents the city not only as a sequence of material changes, but also as a contingent process and a battleground for political power. Savvy institutional actors--like banks, developers, and many public officials--understood that in some cases to clearly articulate their interests would be to invite challenges. That means that textual sources like newspapers and municipal reports are limited in what they can tell researchers about the shape of political power. Urban plans, however, often speak volumes about interests and dynamics upon which textual sources remain silent. Mortgage lenders, for example, apparently thought it unwise to state that they wished to see a poor neighborhood cleared, to be replaced with a freeway onramp. Yet visual analysis of planning proposals makes that interest plain. So in the process of showing how the city might have looked, Imagined San Francisco also shows how political power actually was negotiated and exercised.

This dataset includes one file for each of the 51 counties that were collected, as well as a CA_Merged file with the parcels merged into a single file.Note – this data does not include attributes beyond the parcel ID number (PARNO) – that will be provided when available, most likely by the state of California.DownloadA 1.6 GB zipped file geodatabase is available for download - click here.DescriptionA geodatabase with parcel boundaries for 51 (out of 58) counties in the State of California. The original target was to collect data for the close of the 2013 fiscal year. As the collection progressed, it became clear that holding to that time standard was not practical. Out of expediency, the date requirement was relaxed, and the currently available dataset was collected for a majority of the counties. Most of these were distributed with minimal metadata.The table “ParcelInfo” includes the data that the data came into our possession, and our best estimate of the last time the parcel dataset was updated by the original source. Data sets listed as “Downloaded from” were downloaded from a publicly accessible web or FTP site from the county. Other data sets were provided directly to us by the county, though many of them may also be available for direct download. Â These data have been reprojected to California Albers NAD84, but have not been checked for topology, or aligned to county boundaries in any way. Tulare County’s dataset arrived with an undefined projection and was identified as being California State Plane NAD83 (US Feet) and was assigned by ICE as that projection prior to reprojection. Kings County’s dataset was delivered as individual shapefiles for each of the 50 assessor’s books maintained at the county. These were merged to a single feature class prior to importing to the database.The attribute tables were standardized and truncated to include only a PARNO (APN). The format of these fields has been left identical to the original dataset. The Data Interoperablity Extension ETL tool used in this process is included in the zip file. Where provided by the original data sources, metadata for the original data has been maintained. Please note that the attribute table structure changes were made at ICE, UC Davis, not at the original data sources.Parcel Source InformationCountyDateCollecDateCurrenNotesAlameda4/8/20142/13/2014Download from Alamenda CountyAlpine4/22/20141/26/2012Alpine County PlanningAmador5/21/20145/14/2014Amador County Transportation CommissionButte2/24/20141/6/2014Butte County Association of GovernmentsCalaveras5/13/2014Download from Calaveras County, exact date unknown, labelled 2013Contra Costa4/4/20144/4/2014Contra Costa Assessor’s OfficeDel Norte5/13/20145/8/2014Download from Del Norte CountyEl Dorado4/4/20144/3/2014El Dorado County AssessorFresno4/4/20144/4/2014Fresno County AssessorGlenn4/4/201410/13/2013Glenn County Public WorksHumboldt6/3/20144/25/2014Humbodt County AssessorImperial8/4/20147/18/2014Imperial County AssessorKern3/26/20143/16/2014Kern County AssessorKings4/21/20144/14/2014Kings CountyLake7/15/20147/19/2013Lake CountyLassen7/24/20147/24/2014Lassen CountyLos Angeles10/22/201410/9/2014Los Angeles CountyMadera7/28/2014Madera County, Date Current unclear likely 7/2014Marin5/13/20145/1/2014Marin County AssessorMendocino4/21/20143/27/2014Mendocino CountyMerced7/15/20141/16/2014Merced CountyMono4/7/20144/7/2014Mono CountyMonterey5/13/201410/31/2013Download from Monterey CountyNapa4/22/20144/22/2014Napa CountyNevada10/29/201410/26/2014Download from Nevada CountyOrange3/18/20143/18/2014Download from Orange CountyPlacer7/2/20147/2/2014Placer CountyRiverside3/17/20141/6/2014Download from Riverside CountySacramento4/2/20143/12/2014Sacramento CountySan Benito5/12/20144/30/2014San Benito CountySan Bernardino2/12/20142/12/2014Download from San Bernardino CountySan Diego4/18/20144/18/2014San Diego CountySan Francisco5/23/20145/23/2014Download from San Francisco CountySan Joaquin10/13/20147/1/2013San Joaquin County Fiscal year close dataSan Mateo2/12/20142/12/2014San Mateo CountySanta Barbara4/22/20149/17/2013Santa Barbara CountySanta Clara9/5/20143/24/2014Santa Clara County, Required a PRA requestSanta Cruz2/13/201411/13/2014Download from Santa Cruz CountyShasta4/23/20141/6/2014Download from Shasta CountySierra7/15/20141/20/2014Sierra CountySolano4/24/2014Download from Solano Couty, Boundaries appear to be from 2013Sonoma5/19/20144/3/2014Download from Sonoma CountyStanislaus4/23/20141/22/2014Download from Stanislaus CountySutter11/5/201410/14/2014Download from Sutter CountyTehama1/16/201512/9/2014Tehama CountyTrinity12/8/20141/20/2010Download from Trinity County, Note age of data 2010Tulare7/1/20146/24/2014Tulare CountyTuolumne5/13/201410/9/2013Download from Tuolumne CountyVentura11/4/20146/18/2014Download from Ventura CountyYolo11/4/20149/10/2014Download from Yolo CountyYuba11/12/201412/17/2013Download from Yuba County

SUMMARY The Air Pollutant Exposure Zone (APEZ) map identifies areas in San Francisco where air modeling indicates higher levels of air pollution. This map is required to be updated every 5 years, as established in San Francisco Health Code article 38. The 2025 Air Pollutant Exposure Zone map is an update to the 2020 map. Additional information may be found at Air Quality Review | SF Planning. The map can be viewed on the San Francisco Property Information Map. HOW THE DATASET IS CREATED The 2025 APEZ update modeled areas of the city where: particulate matter (PM2.5) is greater than or equal to 9 µg/m3 or where the risk of cancer from air pollutants is greater than or equal to 100 in a million; in health vulnerable ZIP codes (94102, 94103, 94110, 94124, and 94134), where the risk of cancer from air pollutants is greater than or equal to 90 in a million; locations within 500 feet of freeways; or locations within 1,000 feet of roadways with a daily average of 100,000 vehicles. To learn more, visit San Francisco Citywide Health Risk Assessment: Technical Support Documentation, Air Pollutant Exposure Zone Handout and Air Pollutant Exposure Zone Story Map. UPDATE PROCESS Updated every five years. HOW TO USE THIS DATASET The City uses this dataset as follows. San Francisco Health Code article 38 requires new developments or major renovations within the APEZ with sensitive receptors, like housing or preschools, to include a ventilation system that sufficiently removes fine particulate matter (minimum efficiency reporting volume [MERV] 13 or equivalent filtration). In addition, Environment Code Chapter 25 requires public agencies implementing projects within the APEZ to use the cleanest construction equipment available. The City’s environmental review under the California Environmental Quality Act (CEQA) uses the APEZ in its analysis to mandate the use of clean construction equipment, when applicable. To learn more, visit Air Quality Review | SF Planning.

Snapshot of San Francisco Development Pipeline. Tracking of construction and entitlement activity based on data from Dept of Building Inspection's Permit Tracking and the Planning Department's Case Tracking enterprise databases, processed quarterly.

In 2018, the Golden Gate National Parks Conservancy (Parks Conservancy) (https://parksconservancy.org), non-profit support partner to the National Park Service (NPS) Golden Gate National Recreation Area (GGNRA), initiated a fine scale vegetation mapping project in Marin County. The GGNRA includes lands in San Francisco and San Mateo counties, and NPS expressed interest in pursuing fine scale vegetation mapping for those lands as well. The Parks Conservancy facilitated multiple meetings with potential project stakeholders and was able to build a consortium of funders to map all of San Mateo County (and NPS lands in San Francisco). The consortium included the San Francisco Public Utilities Commission (SFPUC), Midpeninsula Regional Open Space District (MROSD), Peninsula Open Space Trust (POST), San Mateo City/County Association of Governments, and various County of San Mateo departments including Parks, Agricultural Weights and Measures, Public Works/Flood Control District, Office of Sustainability, and Planning and Building. Over a 3-year period, the project, collectively referred to as the “San Mateo Fine Scale Veg Map”, has produced numerous environmental GIS products including 1-foot contours, orthophotography, and other land cover maps. A 106-class fine-scale vegetation map was completed in April 2022 that details vegetation communities and agricultural land cover types, including forests, grasslands, riparian vegetation, wetlands, and croplands. The environmental data products from the San Mateo Fine Scale Veg Map are foundational and can be used by organizations and government departments for a wide range of purposes, including planning, conservation, and to track changes over time to San Mateo County’s habitats and natural resources.Development of the San Mateo fine-scale vegetation map was managed by the Golden Gate National Parks Conservancy and staffed by personnel from Tukman Geospatial (https://tukmangeospatial.com/), Aerial Information Systems (AIS; http://www.aisgis.com/), and Kass Green and Associates. The fine-scale vegetation map effort included field surveys by a team of trained botanists including Neal Kramer, Brett Hall, Lucy Ferneyhough, Brittany Burnett, Patrick Furtado, and Rosie Frederick. Data from these surveys, combined with older surveys from previous efforts, were analyzed by the California Native Plant Society (CNPS) Vegetation Program (https://www.cnps.org/vegetation), with support from the California Department of Fish and Wildlife Vegetation Classification and Mapping Program (VegCAMP; https://wildlife.ca.gov/Data/VegCAMP) and ecologists with NatureServe (https://www.natureserve.org/) to develop a San Mateo County-specific vegetation classification. For more information on the field sampling and vegetation classification work San Mateo County Fine Scale Vegetation Map Final Report refer to the final report (https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=212663) issued by CNPS and corresponding floristic descriptions (https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=212666 and https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=212667).Existing lidar data, collected in 2017 by San Mateo County was used to support the project. The lidar point cloud, and many of its derivatives, were used extensively during the process of developing the fine-scale vegetation and habitat map. The lidar data was used in conjunction with optical data. Optical data used throughout the project included 6-inch resolution airborne 4-band imagery collected in the summer of 2018, as well as various dates of National Agriculture Imagery Program (NAIP) imagery. Key data sets used in the lifeform and the enhanced lifeform mapping process include high resolution aerial imagery from 2018, the lidar-derived Canopy Height Model (CHM), and several other lidar-derived raster and vector datasets. In addition, a number of forest structure lidar derivatives are used in the machine learning portion of the enhanced lifeform workflow.In 2020, an enhanced lifeform map was produced which serves as the foundation for the much more floristically detailed fine-scale vegetation and habitat map. The lifeform map was developed using expert systems rulesets in Trimble Ecognition®, followed by manual editing.In 2020, Tukman Geospatial staff and partners conducted countywide reconnaissance field work to support fine-scale mapping. Field-collected data were used to train automated machine learning algorithms, which produced a fully automated countywide fine-scale vegetation and habitat map. Throughout 2021, AIS manually edited the fine-scale maps, and Tukman Geospatial and AIS went to the field for validation trips to inform and improve the manual editing process. In early January of 2022, draft maps were distributed and reviewed by San Mateo County’s community of land managers and by the funders of the project. Input from these groups was used to further refine the map. The countywide fine-scale vegetation map and related data products were made public in April 2022. In total, 106 vegetation classes were mapped. During the classification development phase, minimum mapping units (MMUs) were established for the vegetation mapping project. An MMU is the smallest area to be mapped on the ground. For this project, the mapping team chose to map different features at different MMUs. The MMU is 1/4 acre for agricultural, woody riparian, and wetland herbaceous classes; 1/2 acre for woody upland, upland herbaceous, and bare land classes; 1/5 acre for developed feature types; and 400 square feet for water.Accuracy assessment plot data were collected in 2021 and 2022. Accuracy assessment results were compiled and analyzed in the April of 2022. Overall accuracy of the lifeform map is 98 percent. Overall accuracy of the fine-scale vegetation map is 83.5 percent, with an overall ‘fuzzy’ accuracy of 90.8 percent.

GIS DATA IS FOR REFERENCE ONLY AND SHOULD NOT BE USED FOR THE BASIS OF DESIGN OR CONSTRUCTIONIn accordance with Federal and City guidelines this data should not be published or retransmitted. Keep in mind that this data-set represents known floorplan and or site information for said structures and or areas. Parties wishing to know comprehensively what infrastructure exists in the project area are advised to conduct their own site surveys and other due-diligence prior making decisions, analysis, and/or digging and demo. The contained data-sets are meant to serve as a reference file only, not a comprehensive site survey.DATA DISCLAIMERData contained on this Web page/site is Copyright © San Francisco City and County (CCSF), California. The GIS data are proprietary to CCSF and title to this information remains in CCSF. All applicable common law and statutory rights in the GIS data including, but not limited to, rights in copyright, shall and will remain the property of CCSF. Information shown on these maps are derived from public records that are constantly undergoing change and do not replace a site survey, and is not warranted for content or accuracy. CCSF does not guarantee the positional or thematic accuracy of the GIS data. The GIS data or cartographic digital files are not a legal representation of any of the features in which it depicts, and disclaims any assumption of the legal status of which it represents. The GIS data or cartographic digital files are not a legal representation of any of the features in which it depicts, and disclaims any assumption of the legal status of which it represents. Areas and/or boundaries contained in this dataset are approximate. Any implied warranties, including warranties of merchantability or fitness for a particular purpose, shall be expressly excluded. All the data on this web page, whether in written, numerical, or graphical form is derived from the San Francisco International Airport’s Asset Management Geospatial Information System (GIS) and is not guaranteed to be accurate. San Francisco International Airport (SFO) makes no warranty of any kind, expressed or implied, including any warranty of merchantability, fitness for a particular purpose, or any other matter. SFO is not responsible for errors, omissions, misuse, or misinterpretation in or of the material. SFO’s digital information is prepared for reference purposes only and should not be used, and is not intended for, survey or engineering purposes. No representation is made concerning the legal status of any apparent route of access identified in digital or hardcopy mapping of geospatial information or data. The requestor acknowledges and accepts all limitations, including the fact that the data, information, and maps are being updated on an ongoing basis, and agrees not to hold SFO or the City and County of San Francisco responsible or liable for any damages that may arise from the use of the data. San Francisco International Airport. Infrastructure Information Management.

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.

Please see Map of Land Use - 2023 for most recent data

Summary Land Use 2020: Land use categories for every parcel in San Francisco. The land use categories are derived from a range of City and commercial databases. Where building square footages were missing from these databases they were derived from a LIDAR survey flown in 2007.

Land use categories are as follows (units are square feet): - CIE = Cultural, Institutional, Educational - MED = Medical - MIPS = Office (Management, Information, Professional Services) - MIXED = Mixed Uses (Without Residential) - MIXRES = Mixed Uses (With Residential) - PDR = Industrial (Production, Distribution, Repair) - RETAIL/ENT = Retail, Entertainment - RESIDENT = Residential - VISITOR = Hotels/Motels - VACANT = Vacant - ROW = Right-of-Way - OPENSPACE = Open Space

Other attributes are: - RESUNITS = Residential Units - BLDGSQFT = Square footage data - YRBUILT = year built - TOTAL_USES = Business points from Dun & Bradstreet were spatially aggregated to the closest parcel, and this field is the sum of the square footage fields

The subsequent fields (CIE, MED, MIPS, RETAIL, PDER & VISITOR) were derived using the NAICS codes supplied in the Dun & Bradstreet dataset, and the previous TOTAL_USES column.

PREDOMINANT LAND USES: - RESIDENTIAL: Housing--from single family to multifamily to high-rise apartment complexes. - CIE - CULTURAL, INDUSTRIAL, EDUCATIONAL:Any cultural, institutional, medical or educational place such as a museum, zoo, hospital, medical center, college, theatre, social service, or membership organization. - MIPS (generally for offices):Management, information, and professional activities such as finance, insurance, and real estate (FIRE), business, legal, and public administration. - RETAIL/ENT(Retail/Entertainment)Shopping and direct consumer services, amusement, recreation and personal services, restaurants and bars -- from neighborhood-serving to region-serving. - PDR (Production/Distribution/Repair):Wholesale trade, showrooms, manufacturing and materials processing, warehousing, repair, businesses, construction, transportation, communications, utilities. - VISITOR:Hotels and motels.PUBLIC:Publicly owned parks, recreation, and open spaces, as well as some highway right of ways. - VACANT:An empty or undeveloped lot. - MIXED USES:Combined uses, such as office and retail, industrial-retail-entertainment, or industrial and office, etc. where no one use predominates. - MIXEDRES (Residential Mixed):Mostly housing with one or more other use (office, retail, industrial)on the ground floor).

The determining factor for a parcel's LANDUSE is if the square footage of any non-residential use is 80% or more of its total uses. Otherwise it becomes MIXED.

In the case where RESIDENT use has some square footage of non-residential use, this is mainly accessory uses such as home businesses, freelancers, etc.

This map depicts lands owned and/or administered by the U.S. Fish and Wildlife Service at San Francisco Bay National Wildlife Refuge Complex.

This layer is a georeferenced image of a map showing land use in the Western Addition of San Francisco. This map was created as part of a redevelopment plan by the San Francisco Redevelopment Agency in 1956. A scanned version of this map was georeferenced as part of the Imagined San Francisco project.

These maps show, for emergency service managers in the San Francisco Bay region, the threshold rainfall that may be capable of triggering a level of debris-flow activity likely to threaten public safety. The maps are products of a continuing series of studies that began after a catastrophic storm on January 3-5, 1982 triggered 18,000 debris flows in the San Francisco Bay region, causing 25 deaths and $66 million in property damage. The threshold rainfall values were estimated by re-evaluating a previous empirical analysis of data from the 1982 storm, and other historical rainfall records, that normalized the rainfall intensity data by dividing by the mean annual precipitation (MAP) of the corresponding rain gage. The present analysis also takes into account the rainfall frequency, the mean annual number of days with non-zero rainfall (#RDs), thereby adjusting for the difference in rainfall frequency between windward-facing slopes where rainfall is orographically enhanced and leeward-facing slopes and valleys that lie within rain shadows where precipitation is reduced. The debris-flow threshold maps were created by digitally combining an existing regional map of mean annual precipitation, a newly compiled data set of #RDs from an analysis of long-term (20-40 years) records of daily rainfall for 33 rain gages in the region, and the re-normalized thresholds from the empirical analysis of historical storm data.