75 datasets found
  1. T

    Five Bay Area County Boundaries for the Bay Area Regional Climate Action...

    • data.bayareametro.gov
    Updated Jul 18, 2023
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    California Air Resources Board (2023). Five Bay Area County Boundaries for the Bay Area Regional Climate Action Planning Initiative Frontline Communities Map [Dataset]. https://data.bayareametro.gov/Jurisdiction-Boundaries/Five-Bay-Area-County-Boundaries-for-the-Bay-Area-R/7e6x-iexa
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    csv, xml, application/geo+json, kml, kmz, xlsxAvailable download formats
    Dataset updated
    Jul 18, 2023
    Dataset authored and provided by
    California Air Resources Board
    Area covered
    San Francisco Bay Area
    Description

    Shapefile contains county boundaries for the five counties that are included in the Bay Area Regional Climate Action Planning Initiative Frontline Communities Map.

    The original shapefile was downloaded from the California Air Resources Board, Geographical Information System (GIS) Library. The “Select Layer By Attribute” tool in ArcMap was used to select only those five counties that are part of the Bay Area Regional Climate Action Planning Initiative. No display filters were used to visualize the features in the final map. To learn more about the methodology behind the original dataset, please visit: https://ww2.arb.ca.gov/geographical-information-system-gis-library

    The Frontline Communities Map is meant to help identify communities that are considered frontline communities for the purpose of the USEPA’s Climate Pollution Reduction Grant (CPRG) program’s planning effort, which is a five-county climate action planning process led by the Air District. USEPA refers to these communities as low-income and disadvantaged communities (LIDACs).

  2. Vegetation - Alameda and Contra Costa County [ds3206]

    • data.cnra.ca.gov
    • data.ca.gov
    • +5more
    Updated Aug 6, 2025
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    California Department of Fish and Wildlife (2025). Vegetation - Alameda and Contra Costa County [ds3206] [Dataset]. https://data.cnra.ca.gov/dataset/vegetation-alameda-and-contra-costa-county-ds3206
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    zip, arcgis geoservices rest api, csv, html, kml, geojsonAvailable download formats
    Dataset updated
    Aug 6, 2025
    Dataset authored and provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    License

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

    Area covered
    Contra Costa County
    Description

    The East Bay Regional Park District (EBRPD) initiated this project to map the topography, physical and biotic features, and diverse plant communities of the east bay region. This project was funded by the California Department of Forestry and Fire Protection (CAL FIRE), the California State Coastal Conservancy (SCC), and California Department of Fish and Wildlife (CDFW) grants. The mapping study area, consists of approximately 987,000 acres of Alameda and Contra Costa counties. This 115-class fine scale vegetation map was completed in May 2025 and contains 140,442 polygons. The map is based on summer 2020 National Aerial Imagery Program (NAIP) imagery. The map additionally contains lidar-derived information about stand height, canopy cover, and percentage of impervious cover as well as canopy mortality data for each polygon. The minimum mapping unit (MMU) for this project ranges from 1/5 to 1 acre depending on feature type, and is described in detail in the mapping report (Tukman Geospatial, 2025).

    Development of the Alameda and Contra Costa fine scale vegetation map was managed by EBRPD and staffed by personnel from Tukman Geospatial. Field surveys were completed by trained botanists from the California Native Plant Society (CNPS), who were assisted by botanists from Nomad Ecology Consulting. Data from these surveys, combined with older surveys from previous efforts, were analyzed by the CNPS Vegetation Program, with support from the CDFW Vegetation Classification and Mapping Program (VegCAMP) to develop a county-specific vegetation classification. The floristic classification follows protocols compliant with the Federal Geographic Data Committee (FGDC) and National Vegetation Classification Standards (NVCS). For more information on the field sampling and vegetation classification work, refer to the final report issued by CNPS and corresponding floristic descriptions (Sikes et al., 2025), which are bundled with the vegetation map published for BIOS here: https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/3200_3299/ds3206.zip

    The foundation for this vegetation map is an enhanced lifeform map produced in 2023 with funding from CAL FIRE. This lifeform map was developed using fine scale segmentation in Trimble® Ecognition® with machine learning and further manual image interpretation. In 2023-2025, Tukman Geospatial and Nomad Ecology staff conducted countywide reconnaissance field work. Field-collected data was used to train automated machine learning algorithms, which produced a semi-automated countywide fine scale vegetation and habitat map. Throughout 2024 and 2025, Tukman Geospatial manually edited the fine scale maps, and Tukman Geospatial and Nomad Ecology went to the field for validation trips to inform and improve the manual editing process. In 2025, input from Alameda and Contra Costa counties’ community of land managers and by the funders of the project was used to further refine the map.

    Accuracy assessment plot data were collected in 2025. Accuracy assessment results were compiled and analyzed May of 2025. The overall accuracy of the vegetation map by lifeform is 97%. The overall accuracy of the vegetation map by fine scale vegetation map class is 80.8%, with an overall ‘fuzzy’ accuracy of 93.1%.

    For a complete datasheet of the product, click here. Map class definitions, as well as a dichotomous key for the map classes, can be found in the Alameda and Contra Costa Fine Scale Vegetation Map Key (https://vegmap.press/alcc_mapping_key). A key to map class abbreviations is also available (https://vegmap.press/alcc_vegmap_abbrevs).

  3. Vegetation Grasslands - Alameda and Contra Costa County [ds3205]

    • data.ca.gov
    • data.cnra.ca.gov
    • +4more
    Updated Apr 11, 2025
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    California Department of Fish and Wildlife (2025). Vegetation Grasslands - Alameda and Contra Costa County [ds3205] [Dataset]. https://data.ca.gov/dataset/vegetation-grasslands-alameda-and-contra-costa-county-ds3205
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    arcgis geoservices rest api, kml, zip, html, csv, geojsonAvailable download formats
    Dataset updated
    Apr 11, 2025
    Dataset authored and provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    License

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

    Area covered
    Contra Costa County
    Description

    At the request of the East Bay Regional Parks District (EBPRD), Nomad Ecology (Nomad), Benson Bio Consulting (Shelly Benson), and Tukman Geospatial (project manager Brittany Burnett) conducted a fine-scale grassland vegetation mapping project on 11,000 acres of grasslands and low-cover shrublands in 16 parks owned and managed by East Bay Regional Parks District (EBRPD) in Alameda and Contra Costa counties. This project used field vegetation sampling and mapping to produce a fine-scale vegetation map (alliance and association level) to identify the composition and location of these native grassland vegetation types, so mapped polygons do not correspond with any imagery base. Areas mapped in the enhanced lifeform map as anything except upland herbaceous or non-native herbaceous were excluded from the matrix. These matrix polygons were incorporated into the final grassland map and flagged "Yes” in the field “Matrix Flag.”. The methods used for this vegetation sampling and mapping project are consistent with the Manual of California Vegetation and followed protocols established by CDFW VegCAMP and CNPS. This map was made in 2023.

    This fine scale grassland map represents native grasslands and low-cover shrublands throughout select East Bay Regional Parks District (EBRPD) lands – a 74-class grassland map with 2,805 polygons. The mapping was conducted in the spring-summer of 2023 and 2024. The map also includes a non-native matrix covering areas not mapped as native grasslands or low-cover shrublands. After field work concluded, field staff conducted a thorough quality assurance process, which involved checking for polygons under the 1/5-acre minimum mapping unit (MMU), overlapping polygons, and accurate data attribution.

    Spatial data for this project is also available on pacificvegmap.org. The report for this project is available here: https://nrm.dfg.ca.gov/FileHandler.ashx?DocumentID=228273

  4. d

    Data from: Quaternary deposits of the 9-county San Francisco Bay Region: an...

    • catalog.data.gov
    • data.usgs.gov
    • +1more
    Updated Oct 1, 2025
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    U.S. Geological Survey (2025). Quaternary deposits of the 9-county San Francisco Bay Region: an areally continuous digital map database prepared from Knudsen and others (2000) and Witter and others (2006) [Dataset]. https://catalog.data.gov/dataset/quaternary-deposits-of-the-9-county-san-francisco-bay-region-an-areally-continuous-digital-6528d
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    Dataset updated
    Oct 1, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    San Francisco Bay, San Francisco
    Description

    This digital map database provides an areally continuous representation of the Quaternary surficial deposits of the San Francisco Bay region merged from the database files from Knudsen and others (2000) and Witter and others (2006). The more detailed mapping by Witter and others (2006) of the inner part of the region (compiled at a scale of 1:24,000), is given precedence over the less detailed mapping by Knudsen and others (2000) of the outer part of the area (compiled at a scale of 1:100,000). The Quaternary map database is accompanied by a list of the map-unit names represented by polygon identities, a digital map index of the 1:24,000-scale topographic quadrangles of the region, and a figure illustrating the contents of the database. The Quaternary map database includes line work and the identity of the Quaternary map units, but no further description of the map units or how they were mapped. Use of the database should thus be accompanied by consultation with the original reports, which describe the map units and mapping procedures: citation of this database should be accompanied by citation of those original reports. As with all such digital maps, use of this database should attend to the compilation scales involved and not try to extract spatial detail or accuracy beyond those limits. Database layers: SFBQuat-lns: Quaternary map database: unit boundaries and their attributes SFBQuat-pys: Quaternary map database: polygons and their attributes SFBIndex-lns: Boundaries of 7.5-minute quadrangles for the map area, distinguishing those that form boundaries of 15-minute and 30x60-minute quadrangles SFBIndex-pys: 7.5-minute quadrangles, and for those within map area, their names and the names of the 30x60-minute quadrangles that contain them. The liquefaction ratings presented in the original reports for the various Quaternary map units remain valid and can be assigned to the units in this database if desired, with ratings of Witter and others (2006) given precedence. Assembly of the Quaternary map database involved stripping out all the information from the source maps that dealt with liquefaction, a major component of the original reports, and adjusting line work at the common boundary between the two source maps to produce a nearly seamless spatial database. The common boundary between the two sources is retained. Mismatches remaining at that common boundary are of two types: (1) contrasts in the degree of subdivision of the deposits resulting from the different compilation scales, and (2) terminations of narrow bands of water and artificial fill and levees at quadrangle boundaries that resulted from differences in details shown on the 1:24,000-scale topographic maps used as a source of mapping information in the original reports. The illustrative figure accompanying the database shows the content of the database plotted at a scale of 1:275,000, with the different map units distinguished by color and the different types of lines distinguished by symbol and color. An index map in that figure shows the 165 7½-minute quadrangles covering the region and the areas of the two source maps. Knudsen, K.L., Sowers, J.M., Witter, R.C., Wentworth, C.M., Helley, E.J., Nicholson, R.S., Wright, H.M., and Brown, K.M., 2000, Preliminary maps of Quaternary deposits and liquefaction susceptibility, nine-county San Francisco Bay region, California: a digital database: U.S. Geological Survey Open File Report 00-444. http://pubs.usgs.gov/of/2000/of00-444/ Witter, R.C., Knudsen, K.L, Sowers, J.M., Wentworth, C.M., Koehler, R.D., Randolph, C. E., Brooks, S.K., and Gans, K.D., 2006, Maps of Quaternary Deposits and Liquefaction Susceptibility in the Central San Francisco Bay Region, California: U.S. Geological Survey Open-File Report 06-1037 (http://pubs.usgs.gov/of/2006/1037)

  5. T

    Census Tracts Designated as Equity Priority Communities by MTC for the Bay...

    • data.bayareametro.gov
    Updated Jul 18, 2023
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    MTC (2023). Census Tracts Designated as Equity Priority Communities by MTC for the Bay Area Regional Climate Action Planning Initiative Frontline Communities Map. [Dataset]. https://data.bayareametro.gov/w/htx3-szx7/default?cur=MSBWkajTgKm&from=1KgieiDasEl
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    application/geo+json, kml, xlsx, csv, kmz, xmlAvailable download formats
    Dataset updated
    Jul 18, 2023
    Dataset authored and provided by
    MTC
    Area covered
    San Francisco Bay Area
    Description

    Shapefile contains census tracts identified as Equity Priority Communities by MTC as part of the Plan Bay Area 2050 process for the five counties that are included in the Bay Area Regional Climate Action Planning Initiative Frontline Communities Map.

    The original shapefile was downloaded from the Metropolitan Transportation Commission (MTC), Equity Priority Communities webpage. The “Clip” tool in ArcMap was used to select only those features which are located within the boundaries of the five Bay Area counties included in the Frontline Communities Map. Only those census tracts where epc_2050 column is equal to 1 are displayed. Where, epc_2050 is defined as "Equity Priority Community PBA 2050" in the original codebook and 1 is equivalent to a true statement. To learn more about the methodology behind the original dataset, please visit: https://opendata.mtc.ca.gov/datasets/MTC::equity-priority-communities-plan-bay-area-2050/about

    The Frontline Communities Map is meant to help identify communities that are considered frontline communities for the purpose of the USEPA’s Climate Pollution Reduction Grant (CPRG) program’s planning effort, which is a five-county climate action planning process led by the Air District. USEPA refers to these communities as low-income and disadvantaged communities (LIDACs).

    Formerly called “Communities of Concern,” Equity Priority Communities are census tracts that have a significant concentration of underserved populations. The Equity Priority Communities framework helps MTC make decisions on investments that meaningfully reverse the disparities in access to transportation, housing and other community services.

    The Equity Priority Communities (tract geography) dataset is based upon eight demographic variables: • People of Color (70% threshold) • Low-Income (28% threshold) • Limited English Proficiency (12% threshold) • Seniors 75 Years and Over (8% threshold) • Zero-Vehicle Households (15% threshold) • Single Parent Families (18% threshold) • People with a Disability (12% threshold) • Rent-Burdened Households (14% threshold)

    A tract is considered an Equity Priority Community: 1. If a tract exceeds both threshold values for BOTH Low-Income AND People of Color, or 2. If a tract exceeds the threshold value for Low-Income AND exceeds the threshold values for three or more of the six remaining variables

  6. Census Tracts Identified as Disadvantaged in Climate and Economic Justice...

    • data.bayareametro.gov
    Updated Jul 7, 2023
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    US EPA (2023). Census Tracts Identified as Disadvantaged in Climate and Economic Justice Screening Tool (CEJST) for the Bay Area Regional Climate Action Planning Initiative Frontline Communities Map [Dataset]. https://data.bayareametro.gov/Environmental-Justice/Census-Tracts-Identified-as-Disadvantaged-in-Clima/eahp-9fph
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    xml, xlsx, csv, kml, application/geo+json, kmzAvailable download formats
    Dataset updated
    Jul 7, 2023
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Authors
    US EPA
    Area covered
    San Francisco Bay Area
    Description

    Shapefile contains census tracts identified as disadvantaged in the Climate and Economic Justice Screening Tool (CEJST) for the five counties that are included in the Bay Area Regional Climate Action Planning Initiative Frontline Communities Map.

    The original shapefile was downloaded from the The White House Council on Environmental Quality, Climate and Economic Justice Screening Tool (CEJST), Methodology & Data webpage.. The “Clip” tool in ArcMap was used to select only those features which are located within the boundaries of the five Bay Area counties included in the Frontline Communities Map. Only those census tracts where SN_C column is equal to 1 are displayed. Where, SN_C is defined as "Identified as disadvantaged" in the original codebook and 1 is equivalent to a true statement. To learn more about the methodology behind the original dataset, please visit: https://screeningtool.geoplatform.gov/en/methodology#3/33.47/-97.5

    The Frontline Communities Map is meant to help identify communities that are considered frontline communities for the purpose of the USEPA’s Climate Pollution Reduction Grant (CPRG) program’s planning effort, which is a five-county climate action planning process led by the Air District. USEPA refers to these communities as low-income and disadvantaged communities (LIDACs).

    As outlined in Executive Order 14008 on Tackling the Climate Crisis at Home and Abroad, the Climate and Economic Justice Screening Tool (CEJST) is a geospatial mapping tool designed to identify disadvantaged communities that are marginalized and overburdened by pollution and underinvestment, for the purposes of Justice40 Initiative.

  7. San Francisco Bay Region Counties (clipped)

    • opendata-mtc.opendata.arcgis.com
    • opendata.mtc.ca.gov
    • +1more
    Updated Nov 3, 2021
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    MTC/ABAG (2021). San Francisco Bay Region Counties (clipped) [Dataset]. https://opendata-mtc.opendata.arcgis.com/datasets/15e88533ab3c488a853ed32a438ad4c4
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    Dataset updated
    Nov 3, 2021
    Dataset provided by
    Association of Bay Area Governmentshttps://abag.ca.gov/
    Metropolitan Transportation Commission
    Authors
    MTC/ABAG
    License

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

    Area covered
    Description

    County boundaries for the San Francisco Bay Region, clipped to remove major coastal and bay water areas. Features were extracted from, and clipped using, California 2020 TIGER/Line shapefiles by the Metropolitan Transportation Commission. The 2020 TIGER/Line Shapefiles reflect available governmental unit boundaries of the counties and equivalent entities as of May 28, 2021.Counties and equivalent entities are primary legal divisions of states. In most states, these entities are termed “counties.” Each county or statistically equivalent entity is assigned a 3-character FIPS code that is unique within a state.

  8. s

    Census Counties, 2000 - San Francisco Bay Area, California

    • searchworks.stanford.edu
    zip
    Updated Oct 6, 2016
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    (2016). Census Counties, 2000 - San Francisco Bay Area, California [Dataset]. https://searchworks.stanford.edu/view/hv237bh9962
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    zipAvailable download formats
    Dataset updated
    Oct 6, 2016
    Area covered
    San Francisco Bay Area, California
    Description

    This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

  9. d

    Data from: Quaternary geology of Alameda County, and parts of Contra Costa,...

    • search.dataone.org
    • data.doi.gov
    Updated Oct 29, 2016
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    E.J. Helley; R.W. Graymer (2016). Quaternary geology of Alameda County, and parts of Contra Costa, Santa Clara, San Mateo, San Francisco, Stanislaus, and San Joaquin Counties, California: A digital database [Dataset]. https://search.dataone.org/view/dbce887a-8465-4f0d-aadd-2fe34913a7e0
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    E.J. Helley; R.W. Graymer
    Area covered
    Variables measured
    LTYPE, PTYPE
    Description

    Alameda County is located at the northern end of the Diablo Range of Central California. It is bounded on the north by the south flank of Mount Diablo, one of the highest peaks in the Bay Area, reaching an elevation of 1173 meters (3,849 ft). San Francisco Bay forms the western boundary, the San Joaquin Valley borders it on the east and an arbitrary line from the Bay into the Diablo Range forms the southern boundary. Alameda is one of the nine Bay Area counties tributary to San Francisco Bay. Most of the country is mountainous with steep rugged topography. Alameda County is covered by twenty-eight 7.5' topographic Quadrangles which are shown on the index map (alq_quad or Sheet 2). The Quaternary deposits in Alameda County comprise three distinct depositional environments. One, forming a transgressive sequence of alluvial fan and fan-delta facies, is mapped in the western one-third of the county. The second, forming only alluvial fan facies, is mapped in the Livermore Valley and San Joaquin Valley in the eastern part of the county. The third, forming a combination of Eolian dune and estuarine facies, is restricted to the Alameda Island area in the northwestern corner of the county.

  10. s

    Coarse Filter Vegetation Map: San Francisco Bay Area, California, 2006

    • searchworks.stanford.edu
    zip
    Updated Jan 20, 2021
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    (2021). Coarse Filter Vegetation Map: San Francisco Bay Area, California, 2006 [Dataset]. https://searchworks.stanford.edu/view/np749xc3306
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    zipAvailable download formats
    Dataset updated
    Jan 20, 2021
    Area covered
    San Francisco Bay Area, California
    Description

    This raster dataset depicts a final version of the Coarse Filter Vegetation Map as a 30 meter grid with 61 cover types, 51 of which are natural or semi-natural land cover, for the nine county San Francisco Bay Area Region, California. See Resource Details for detailed data compilation description. This data was compiled from data sourced from the United States Department of Agriculture Forest Service, The Nature Conservancy and the California Department of Forestry and Fire.

  11. d

    Data from: Geologic map and map database of northeastern San Francisco Bay...

    • data.doi.gov
    • search.dataone.org
    Updated Mar 22, 2021
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    U.S. Geological Survey, GEO-WRG-NGM (Point of Contact) (2021). Geologic map and map database of northeastern San Francisco Bay region, California; Most of Solano County and parts of Napa, Marin, Contra Costa, San Joaquin, Sacramento, Yolo, and Sonoma Counties [Dataset]. https://data.doi.gov/dataset/geologic-map-and-map-database-of-northeastern-san-francisco-bay-region-california-most-of-solan
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    Dataset updated
    Mar 22, 2021
    Dataset provided by
    U.S. Geological Survey, GEO-WRG-NGM (Point of Contact)
    Area covered
    Solano County, San Joaquin River, Napa, Sonoma County, Marin County, Contra Costa County, San Francisco Bay Area, California
    Description

    This digital map database, compiled from previously published and unpublished data, and new mapping by the authors, represents the general distribution of bedrock and surficial deposits in the mapped area. Together with the accompanying text file (nesfmf.ps, nesfmf.pdf, nesfmf.txt), it provides current information on the geologic structure and stratigraphy of the area covered. The database delineates map units that are identified by general age and lithology following the stratigraphic nomenclature of the U.S. Geological Survey. The scale of the source maps limits the spatial resolution (scale) of the database to 1:62,500 or smaller.

  12. s

    FEMA Flood Zones: San Francisco Bay Area, California, 2001

    • searchworks.stanford.edu
    zip
    Updated Nov 27, 2021
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    (2021). FEMA Flood Zones: San Francisco Bay Area, California, 2001 [Dataset]. https://searchworks.stanford.edu/view/wz946gr9760
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    zipAvailable download formats
    Dataset updated
    Nov 27, 2021
    Area covered
    San Francisco Bay Area, California
    Description

    This polygon shapefile depicts Q3 Flood Data features of FEMA's Flood Insurance Rate Map (FIRM) product for the nine county San Francisco Bay Area Region, California. Digital Q3 Flood Data has been developed by scanning the existing FIRM hardcopy and vectorizing a thematic overlay of flood risks. The Federal Emergency Management Agency (FEMA) produced two flood map products using Geographic Information System (GIS) technology in support of the National Flood Insurance Program: 1) Q3 Flood Data; and 2) Digital Flood Insurance Rate Maps (DFIRMs). As part of Flood Map Modernization, FEMA will now only update or produce DFIRMs. The digital Q3 Flood Data product was designed to: 1) Serve the needs of FEMA's Response and Recovery activities after flood disaster; 2) Promote flood insurance policy marketing initiatives; and 3) Assist in floodplain management activities at the local level. The vector Q3 Flood Data files contain only certain features from the existing FIRM hardcopy. The State of California and the Resources Agency make no representations or warranties regarding the accuracy of data or maps.

  13. c

    Adapting To Rising Tides Bay Area Sea Level Rise and Shoreline Analysis Maps...

    • s.cnmilf.com
    • data.ca.gov
    • +2more
    Updated Jul 24, 2025
    + more versions
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    San Francisco Bay Conservation and Development Commission (2025). Adapting To Rising Tides Bay Area Sea Level Rise and Shoreline Analysis Maps [Dataset]. https://s.cnmilf.com/user74170196/https/catalog.data.gov/dataset/adapting-to-rising-tides-bay-area-sea-level-rise-and-shoreline-analysis-maps-1faf9
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    Dataset updated
    Jul 24, 2025
    Dataset provided by
    San Francisco Bay Conservation and Development Commissionhttps://bcdc.ca.gov/
    Area covered
    San Francisco Bay Area
    Description

    The regional flooding and shoreline overtopping analysis maps provided in the ART Bay Shoreline Flood Explorer website capture permanent and temporary flooding impacts from sea level rise scenarios from 0- to 108-inches above MHHW (mean higher high water) and storm surge events from the 1-year to the 100-year storm surge. The process used to develop the maps included discussions with key stakeholders in each county, who reviewed the preliminary maps and provided on-the-ground verification and supplemental data to improve the accuracy of the maps. The maps and information produced through this effort can inform adaptation planning, assist in managing climate change risks, and help identify trigger points for implementing adaptation strategies to address sea level rise and flooding hazards, at both local and regional scales. The Flood Explorer maps were produced using the latest LiDAR topographic data sets, water level outputs from the FEMA San Francisco Bay Area Coastal Study (which relied in hydrodynamic modeling using MIKE21) and the San Francisco Tidal Datums Study. The 2010/2011 LIDAR applied (collected by USGS and NOAA at a 1-m resolution) was further refined through the stakeholder review process and integration of additional elevation data where available. The Flood Explorer also includes the regional shoreline delineation developed by the San Francisco Estuary Institute to represent coastal flooding and overtopping throughout the Bay Area. In sum, the maps include: 1) Flooding at ten total water levels that capture over 90 combinations of future sea level rise and storm surge scenarios; 2) Shoreline overtopping maps for all ten total water levels that depict where the Bay may overtop the shoreline and its depth of overtopping at that specific _location. Coupled with the flood maps, the overtopping data can help identify vulnerable shoreline locations and their respective flow paths that could lead to inland flooding, and; 3) Hydraulically disconnected low-lying areas that represent areas that may be vulnerable to flooding due to their low elevation. These areas are not directly within flooding locations, but could be connected to flood waters through culverts and storm drains that are not captured in this analysis.

  14. San Francisco Bay Region Spheres of Influence

    • opendata.mtc.ca.gov
    • opendata-mtc.opendata.arcgis.com
    • +2more
    Updated Aug 23, 2019
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    MTC/ABAG (2019). San Francisco Bay Region Spheres of Influence [Dataset]. https://opendata.mtc.ca.gov/maps/san-francisco-bay-region-spheres-of-influence
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    Dataset updated
    Aug 23, 2019
    Dataset provided by
    Metropolitan Transportation Commission
    Authors
    MTC/ABAG
    License

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

    Area covered
    Description

    The California Association Local Agency Formation Commissions defines a sphere of influence (SOI) as "a planning boundary outside of an agency’s legal boundary (such as the city limit line) that designates the agency’s probable future boundary and service area." This feature set represents the SOIs of the incorporated jurisdictions for the San Francisco Bay Region. The Metropolitan Transportation Commission (MTC) updated the feature set in late 2019 as part of the jurisdiction review process for the BASIS data gathering project. Changes were made to the growth boundaries of the following jurisdictions based on BASIS feedback and associated work: Antioch, Brentwood, Campbell, Daly City, Dublin, Fremont, Hayward, Los Gatos, Monte Sereno, Newark, Oakland, Oakley, Pacifica, Petaluma, Pittsburg, Pleasanton, San Bruno, San Francisco (added to reflect other jurisdictions whose SOI is the same as their jurisdiction boundary), San Jose, San Leandro, Santa Clara, Saratoga, and Sunnyvale. Notes: With the exception of San Mateo and Solano Counties, counties included jurisdiction (city/town) areas as part of their SOI boundary data. San Mateo County and Solano County only provided polygons representing the SOI areas outside the jurisdiction areas. To create a consistent, regional feature set, the Metropolitan Transportation Commission (MTC) added the jurisdiction areas to the original, SOI-only features and dissolved the features by name.Because of differences in base data used by the counties and the MTC, edits were made to the San Mateo County and Solano County SOI features that should have been adjacent to their jurisdiction boundary so the dissolve function would create a minimum number of features. Original sphere of influence boundary acquisitions:Alameda County - CityLimits_SOI.shp received as e-mail attachment from Alameda County Community Development Agency on 30 August 2019 Contra Costa County - BND_LAFCO_Cities_SOI.zip downloaded from https://gis.cccounty.us/Downloads/Planning/ on 15 August 2019Marin County - 'Sphere of Influence - City' feature service data downloaded from Marin GeoHub on 15 August 2019Napa County - city_soi.zip downloaded from their GIS Data Catalog on 15 August 2019 City and County of San Francisco - does not have a sphere of influence San Mateo County - 'Sphere of Influence' feature service data downloaded from San Mateo County GIS open data on 15 August 2019 Santa Clara County - 'City Spheres of Influence' feature service data downloaded from Santa Clara County Planning Office GIS Data on 15 August 2019 Solano County - SphereOfInfluence feature service data downloaded from Solano GeoHub on 15 August 2019 Sonoma County - 'SoCo PRMD GIS Spheres Influence.zip' downloaded from County of Sonoma on 15 August 2019

  15. Priority Development Areas (Plan Bay Area 2050 Plus)

    • opendata.mtc.ca.gov
    • hub.arcgis.com
    Updated Jan 19, 2024
    + more versions
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    MTC/ABAG (2024). Priority Development Areas (Plan Bay Area 2050 Plus) [Dataset]. https://opendata.mtc.ca.gov/maps/MTC::priority-development-areas-plan-bay-area-2050-plus/about
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    Dataset updated
    Jan 19, 2024
    Dataset provided by
    Metropolitan Transportation Commission
    Association of Bay Area Governmentshttps://abag.ca.gov/
    Authors
    MTC/ABAG
    License

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

    Area covered
    Description

    This feature set contains the current boundaries of Priority Development Areas (PDAs) used by the Metropolitan Transportation Commission (MTC) and the Association of Bay Area Governments (ABAG) for analysis and mapping related to Plan Bay Area 2050+. These areas, which are nominated by a local government resolution and approved by the ABAG Executive Board, are eligible for grant funding allocated to planning and projects in PDAs.Plan Bay Area 2050+ is the latest update to the long-range Regional Transportation Plan and Sustainable Communities Strategy for the nine-county San Francisco Bay Region. It will update Plan Bay Area 2050, approved in 2021.This PDA feature set is limited to use in general mapping and analysis related to Plan Bay Area 2050+ and the planning activities of local governments that have nominated PDAs.More information on PDA planning at the Association of Bay Area Governments and Plan Bay Area 2050+ can be found at:Priority Development Areas - https://abag.ca.gov/our-work/land-use/pda-priority-development-areas.Plan Bay Area 2050+ -https://abag.ca.gov/our-work/land-use/plan-bay-area-2050.DO NOT USE this feature layer for mapping or analysis related to earlier versions of Plan Bay Area. Data and feature layers for those PDA versions are available as separate resources.

  16. d

    Data from: Quaternary geology of Contra Costa County, and surrounding parts...

    • search.dataone.org
    Updated Oct 29, 2016
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    E.J. Helley; R.W. Graymer (2016). Quaternary geology of Contra Costa County, and surrounding parts of Alameda, Marin, Sonoma, Solano, Sacramento, and San Joaquin Counties, California: A digital database [Dataset]. https://search.dataone.org/view/1b6dbef1-f5b4-4e05-a6aa-8c5bbee8aa1f
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    E.J. Helley; R.W. Graymer
    Area covered
    Variables measured
    LTYPE, PTYPE
    Description

    Contra Costa County is located at the northern end of the Diablo Range of Central California. It is bounded on the north by Carquinez Strait, through which flows 27 percent of California's surface water runoff. San Francisco Bay forms the western boundary, the San Joaquin Valley borders it on the east and the Livermore Valley forms the southern boundary. Contra Costa is one of the nine Bay Area counties with streams that are tributaries to San Francisco Bay. Most of the county is mountainous with steep rugged topography. Mount Diablo, in the center of the county, is one of the highest peaks in the Bay Area, reaching an elevation of 1173 meters (3,849 ft). Contra Costa County is covered by twenty-five 7.5' topographic Quadrangles shown on the index map (ccq_quad or Sheet 2). However, two of the quadrangles (Hayward and Petaluma Point) contain no Quaternary deposits in Contra Costa County, and so are not discussed herein. The Quaternary deposits in Contra Costa County comprise two distinct depositional environments. One, forming a transgressive sequence of alluvial fan and fan-delta deposits, is mapped in the western four-fifths of the county. The second, forming a combination of eolian dune and river delta deposits, is mapped in the San Joaquin Valley in the eastern part of the county.

  17. San Francisco Bay Water Quality Improvement Fund County Names Annotation,...

    • catalog.data.gov
    Updated Feb 25, 2025
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    U.S. Environmental Protection Agency, Region 9 (Publisher) (2025). San Francisco Bay Water Quality Improvement Fund County Names Annotation, San Francisco Bay CA, 2019, U.S. EPA Region 9 [Dataset]. https://catalog.data.gov/dataset/san-francisco-bay-water-quality-improvement-fund-county-names-annotation-san-francisco-bay-ca-214
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    Dataset updated
    Feb 25, 2025
    Dataset provided by
    United States Environmental Protection Agencyhttp://www.epa.gov/
    Area covered
    San Francisco Bay, San Francisco
    Description

    This layer includes 9 annotation features for the county labels for the San Francisco Bay Water Quality Improvment Fund (SFBWQIF) area of interest These features are incorporated in the San Francisco Bay Water Quality Improvement Fund Story Map, an interactive series of maps and QlikSense graphics highlighting the competitive grant program which supports projects to protect and restore San Francisco Bay. The application can be found on the EPA GeoPlatform at: "https://epa.maps.arcgis.com/apps/MapSeries/index.html?appid=db223d22741140b9b10baf7e91815271" "https://epa.maps.arcgis.com/apps/MapSeries/index.html?appid=db223d22741140b9b10baf7e91815271" The story map is also embedded in the following EPA web page: "https://www2.epa.gov/sfbay-delta/sf-bay-water-quality-improvement-fund-interactive-project-map" https://www2.epa.gov/sfbay-delta/sf-bay-water-quality-improvement-fund-interactive-project-map

  18. g

    Critical Areas Counties | gimi9.com

    • gimi9.com
    + more versions
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    Critical Areas Counties | gimi9.com [Dataset]. https://gimi9.com/dataset/data-gov_critical-areas-counties/
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    Description

    In 1984, the General Assembly enacted the Chesapeake Bay Critical Area Act to regulate development, manage land use and conserve natural resources on land in those areas designated as Critical Area. For this document, the Critical Area is all land and water areas within 1,000 feet of the tidal waters' edge or from the landward edge of adjacent tidal wetlands and the lands under them. Georeferenced digital data files of the critical Area have been produced for Baltimore City and the 16 Maryland counties with land located within the Critical Area. The digital maps produced for each jurisdiction are polygons depicting the Critical Area and the land use classifications recognized by the Chesapeake Bay Critical Area Commission (CBCAC). Each jurisdiction is a separate file. The data were produced from hard copy parcel maps originally submitted by the counties as part of the requirements for developing their Critical Area Program. For the purpose of the Mdimap web service the Critical Area Data is displayed by two data layers, one general layer and one layer showing the available critical area data for local towns.This data set represents the Department of Natural Resources interpretation of the location and extent of the Critical Area; however, the digital maps are not recognized as the "official" maps. In accordance with Subsection 8-1807(a) of the Critical Area Act, the Critical Area consists of (1) All waters and lands under the Chesapeake Bay and its tributaries to the head of tide as indicated on the State wetland maps, and all State and private wetlands designated under Environment Article, Title 16, annotated Code of Maryland; (2) All land and water areas within 1,000 feet beyond the landward boundaries of State or private wetlands and the of tides designated under Environment Article, Article 16, Annotated Code of Maryland; and (3) Modification to these areas through inclusions or exclusions proposed by local jurisdictions and approved by Commission as specified in Natural Resources Article, Subsection 8-1807, annotated Code of Maryland. These maps are hard copy maps that cannot be exactly replicated in a digital format; therefore, some interpretation was necessary to create the digital line. Hard copy maps depicting the official Critical Area boundary line are available for review at the Chesapeake Bay Critical Area Commission, and at most local planning and zoning departments. The Department of Natural Resources makes no warranty, expressed or implied, as to the use or appropriateness of Spatial Data, and there are no warranties of merchantability or fitness for a particular purpose or use. The intended use is for general information and planning purposes. It is not intended to be used to determine the exact location of the Critical Area boundary on a specific parcel or to determine the acreage within the Critical Area on a specific site. The information contained in Spatial Data is from publicly available sources, but no representation is made as to the accuracy or completeness of Spatial Data. The Department of Natural Resources shall not be subject to liability for human error, error due to software conversion, defect, or failure of machines, or any material used in the connection with the machines, including tapes, disks, CD-ROMs or DVD-ROMs and energy. The Department of Natural Resources shall not be liable for any lost profits, consequential damages, or claims against the Department of Natural Resources by third parties. The liability of the Department of Natural Resources for damage regardless of the form of the action shall not exceed any distribution fees that may have been paid in obtaining Spatial Data.There were many parties involved in producing Maryland's Critical Area data and the key parties will be listed. Each county and city (listed below) produced a hard copy map and submitted the map to the Chesapeake Bay Critical Area Commission (CBCAC) for approval. Through Coastal Zone Management grants, CBCAC digit

  19. s

    Census Tracts, 1990 - San Francisco Bay Area, California (Clipped)

    • searchworks.stanford.edu
    zip
    Updated Oct 7, 2016
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    (2016). Census Tracts, 1990 - San Francisco Bay Area, California (Clipped) [Dataset]. https://searchworks.stanford.edu/view/nv463hf9457
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    zipAvailable download formats
    Dataset updated
    Oct 7, 2016
    Area covered
    San Francisco Bay Area, California
    Description

    This polygon shapefile displays Census tracts for the San Francisco Bay Area in California based on entity boundaries established on January 1, 1990. Census tracts are small, relatively permanent statistical subdivisions of a county (or statistical equivalent of a county), and are defined by local participants as part of the U.S. Census Bureau's Participant Statistical Areas Program. The U.S. Census Bureau delineated the census tracts in situations where no local participant existed or where local or tribal governments declined to participate. This layer is part of the Bay Area Metropolitan Transportation Commission (MTC) GIS Maps and Data collection.

  20. d

    Data from: Preliminary maps of Quaternary deposits and liquefaction...

    • search.dataone.org
    • data.doi.gov
    • +1more
    Updated Oct 29, 2016
    + more versions
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    Knudsen, K.L.; Sowers, J.M.; Witter, R.C.; Wentworth, C.M.; Helley, E.J.; Nicholson, R.S.; Wright, H.M.; Brown, K.M. (2016). Preliminary maps of Quaternary deposits and liquefaction susceptibility, nine-county San Francisco Bay region, California: a digital database [Dataset]. https://search.dataone.org/view/5215c183-9d92-44ed-b96c-fcce015967e0
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Knudsen, K.L.; Sowers, J.M.; Witter, R.C.; Wentworth, C.M.; Helley, E.J.; Nicholson, R.S.; Wright, H.M.; Brown, K.M.
    Area covered
    Variables measured
    LIQ, LTYPE, PTYPE, LIQ-SOURCE
    Description

    This report presents a preliminary map and database of Quaternary deposits and liquefaction susceptibility for the nine-county San Francisco Bay region, together with a digital compendium of ground effects associated with past earthquakes in the region. The report consists of (1) a spatial database of fivedata layers (Quaternary deposits, quadrangle index, and three ground effects layers) and two text layers (a labels and leaders layer for Quaternary deposits and for ground effects), (2) two small-scale colored maps (Quaternary deposits and liquefaction susceptibility), (3) a text describing the Quaternary map, liquefaction interpretation, and the ground effects compendium, and (4) the databse description pamphlet. The nine counties surrounding San Francisco Bay straddle the San Andreas fault system, which exposes the region to serious earthquake hazard (Working Group on California Earthquake Probabilities, 1999). Much of the land adjacent to the Bay and the major rivers and streams is underlain by unconsolidated deposits that are particularly vulnerable to earthquake shaking and liquefaction of water-saturated granular sediment. This new map provides a modern and regionally consistent treatment of Quaternary surficial deposits that builds on the pioneering mapping of Helley and Lajoie (Helley and others, 1979) and such intervening work as Atwater (1982), Helley and others (1994), and Helley and Graymer (1997a and b). Like these earlier studies, the current mapping uses geomorphic expression, pedogenic soils, and inferred depositional environments to define and distinguish the map units. In contrast to the twelve map units of Helley and Lajoie, however, this new map uses a complex stratigraphy of some forty units, which permits a more realistic portrayal of the Quaternary depositional system. The two colored maps provide a regional summary of the new mapping at a scale of 1:275,000, a scale that is sufficient to show the general distribution and relationships of the map units but cannot distinguish the more detailed elements that are present in the database. The report is the product of years of cooperative work by the USGS National Earthquake Hazards Reduction Program (NEHRP) and National Cooperative Geologic Mapping Program, William Lettis and & Associates, Inc. (WLA) and, more recently, by the California Division of Mines and Geology as well. An earlier version was submitted to the Geological Survey by WLA as a final report for a NEHRP grant (Knudsen and others, 2000). The mapping has been carried out by WLA geologists under contract to the NEHRP Earthquake Program (Grants #14-08-0001-G2129, 1434-94-G-2499, 1434-HQ-97-GR-03121, and 99-HQ-GR-0095) and with other limited support from the County of Napa, and recently also by the California Division of Mines and Geology. The current map consists of this new mapping and revisions of previous USGS mapping.

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California Air Resources Board (2023). Five Bay Area County Boundaries for the Bay Area Regional Climate Action Planning Initiative Frontline Communities Map [Dataset]. https://data.bayareametro.gov/Jurisdiction-Boundaries/Five-Bay-Area-County-Boundaries-for-the-Bay-Area-R/7e6x-iexa

Five Bay Area County Boundaries for the Bay Area Regional Climate Action Planning Initiative Frontline Communities Map

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csv, xml, application/geo+json, kml, kmz, xlsxAvailable download formats
Dataset updated
Jul 18, 2023
Dataset authored and provided by
California Air Resources Board
Area covered
San Francisco Bay Area
Description

Shapefile contains county boundaries for the five counties that are included in the Bay Area Regional Climate Action Planning Initiative Frontline Communities Map.

The original shapefile was downloaded from the California Air Resources Board, Geographical Information System (GIS) Library. The “Select Layer By Attribute” tool in ArcMap was used to select only those five counties that are part of the Bay Area Regional Climate Action Planning Initiative. No display filters were used to visualize the features in the final map. To learn more about the methodology behind the original dataset, please visit: https://ww2.arb.ca.gov/geographical-information-system-gis-library

The Frontline Communities Map is meant to help identify communities that are considered frontline communities for the purpose of the USEPA’s Climate Pollution Reduction Grant (CPRG) program’s planning effort, which is a five-county climate action planning process led by the Air District. USEPA refers to these communities as low-income and disadvantaged communities (LIDACs).

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