53 datasets found
  1. c

    Solano Grass - Final Critical Habitat - USFWS [ds268] GIS Dataset

    • map.dfg.ca.gov
    Updated Sep 8, 2023
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    (2023). Solano Grass - Final Critical Habitat - USFWS [ds268] GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds0268.html
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    Dataset updated
    Sep 8, 2023
    Description

    CDFW BIOS GIS Dataset, Contact: U.S. Fish & Wildlife Service USFWS, Description: These data identify, in general, the areas where final critical habitat for Solano grass (Tuctoria mucronata), a vernal pool plant, occur. The purpose is to provide the user with a general idea of areas where final critical habitat for Solano grass (Tuctoria mucronata), a vernal pool plant, occur.

  2. Solano County 2025 Roll Year

    • hub.arcgis.com
    • gis.data.ca.gov
    • +2more
    Updated Jun 9, 2025
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    California Department of Tax and Fee Administration (2025). Solano County 2025 Roll Year [Dataset]. https://hub.arcgis.com/maps/3f496ba7fa274660b1a90ef90eadd291
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    Dataset updated
    Jun 9, 2025
    Dataset authored and provided by
    California Department of Tax and Fee Administrationhttp://cdtfa.ca.gov/
    License

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

    Area covered
    Description

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

  3. d

    BASEMAP, SOLANO COUNTY, CA

    • catalog.data.gov
    Updated Nov 3, 2010
    + more versions
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    BakerAECOM (Point of Contact) (2010). BASEMAP, SOLANO COUNTY, CA [Dataset]. https://catalog.data.gov/ru/dataset/basemap-solano-county-ca
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    Dataset updated
    Nov 3, 2010
    Dataset provided by
    BakerAECOM (Point of Contact)
    Area covered
    Solano County, California
    Description

    Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications (Note: the seventh framework theme, orthographic imagery, is packaged in a separate NFIP Metadata Profile): cadastral, geodetic control, governmental unit, transportation, general structures, hydrography (water areas and lines). These data include an encoding of the geographic extent of the features and a minimal number of attributes needed to identify and describe the features. (Source: Circular A-16, p. 13)

  4. s

    County Boundary (Line): Solano County, California, 2015

    • searchworks.stanford.edu
    zip
    Updated Feb 15, 2021
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    (2021). County Boundary (Line): Solano County, California, 2015 [Dataset]. https://searchworks.stanford.edu/view/mw997qw5282
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    zipAvailable download formats
    Dataset updated
    Feb 15, 2021
    Area covered
    Solano County, California
    Description

    Solano Regional Geographic Information Systems Consortium (Solano ReGIS) is a cooperative of local government agencies within Solano County, California, working together to share spatial data, pool resources, and provide GIS expertise to Solano ReGIS members, which include the Cities of Benicia, Dixon, Fairfield, Rio Vista, Suisun City, Vacaville and Vallejo; the County of Solano; the Fairfield-Suisun Sewer District; the Local Agency Formation Commission (LAFCO); the Solano County Water Agency; the Solano Irrigation District; the Solano Transportation Authority; and the Vallejo Sanitation and Flood Control District. These Solano ReGIS members provide public access to applications, maps and spatial data. Solano County encompasses 7 cities and approximately 425,000 people. This coverage can be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analyses of geospatial data.

  5. s

    Populated Places (Points): Solano County, California, 2015

    • searchworks.stanford.edu
    zip
    Updated Jun 25, 2022
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    (2022). Populated Places (Points): Solano County, California, 2015 [Dataset]. https://searchworks.stanford.edu/view/pk613qf6966
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    zipAvailable download formats
    Dataset updated
    Jun 25, 2022
    Area covered
    Solano County, California
    Description

    Solano Regional Geographic Information Systems Consortium (Solano ReGIS) is a cooperative of local government agencies within Solano County, California, working together to share spatial data, pool resources, and provide GIS expertise to Solano ReGIS members, which include the Cities of Benicia, Dixon, Fairfield, Rio Vista, Suisun City, Vacaville and Vallejo; the County of Solano; the Fairfield-Suisun Sewer District; the Local Agency Formation Commission (LAFCO); the Solano County Water Agency; the Solano Irrigation District; the Solano Transportation Authority; and the Vallejo Sanitation and Flood Control District. These Solano ReGIS members provide public access to applications, maps and spatial data. Solano County encompasses 7 cities and approximately 425,000 people. This coverage can be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analyses of geospatial data.

  6. a

    Section

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    Updated Jul 24, 2019
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    City of Fairfield, CA (2019). Section [Dataset]. https://hub.arcgis.com/datasets/bc12470458034961a2e0cd5ec0893aa7
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    Dataset updated
    Jul 24, 2019
    Dataset authored and provided by
    City of Fairfield, CA
    Area covered
    Description

    The Public Land Survey System (PLSS) grid divides California into sections, ranges, and townships. A section is a roughly one-square-mile block of land, and a survey township has 36 sections.This dataset is a subset of data downloaded from the Department of Conservation site for Solano County. https://data.ca.gov/dataset/public-land-survey-system-plss-sections

  7. s

    Populated Places: Solano County, California, 2015

    • searchworks.stanford.edu
    zip
    Updated Sep 26, 2019
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    (2019). Populated Places: Solano County, California, 2015 [Dataset]. https://searchworks.stanford.edu/view/nq241cm1200
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    zipAvailable download formats
    Dataset updated
    Sep 26, 2019
    Area covered
    Solano County, California
    Description

    Solano Regional Geographic Information Systems Consortium (Solano ReGIS) is a cooperative of local government agencies within Solano County, California, working together to share spatial data, pool resources, and provide GIS expertise to Solano ReGIS members, which include the Cities of Benicia, Dixon, Fairfield, Rio Vista, Suisun City, Vacaville and Vallejo; the County of Solano; the Fairfield-Suisun Sewer District; the Local Agency Formation Commission (LAFCO); the Solano County Water Agency; the Solano Irrigation District; the Solano Transportation Authority; and the Vallejo Sanitation and Flood Control District. These Solano ReGIS members provide public access to applications, maps and spatial data. Solano County encompasses 7 cities and approximately 425,000 people. This coverage can be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analyses of geospatial data.

  8. c

    C48 2025

    • gis.data.ca.gov
    • hub.arcgis.com
    Updated Jun 9, 2025
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    California Department of Tax and Fee Administration (2025). C48 2025 [Dataset]. https://gis.data.ca.gov/datasets/CDTFA::c48-2025
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    Dataset updated
    Jun 9, 2025
    Dataset authored and provided by
    California Department of Tax and Fee Administration
    License

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

    Area covered
    Description

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

  9. T

    Vacaville_Zoning

    • data.bayareametro.gov
    Updated Feb 28, 2023
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    (2023). Vacaville_Zoning [Dataset]. https://data.bayareametro.gov/dataset/Vacaville_Zoning/6ww2-z62i
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    xml, csv, application/rdfxml, tsv, application/rssxml, kmz, kml, application/geo+jsonAvailable download formats
    Dataset updated
    Feb 28, 2023
    Area covered
    Vacaville
    Description

    Zoning districts are established to promote compatible patterns of land use within the zoning jurisdiction of the City and to establish site development regulations and performance standards appropriate to the purposes of each district and their respective uses. The Zoning Maps assign each piece of property to a "zone" which specifies how the land may be used.

    Uploaded 06/23/2022 by Buffy Conrad, GIS Analyst, Solano County Department of Information Technology.

  10. T

    Dixon Zoning

    • data.bayareametro.gov
    Updated Feb 28, 2023
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    (2023). Dixon Zoning [Dataset]. https://data.bayareametro.gov/dataset/Dixon-Zoning/et3b-9qcn
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    csv, application/rdfxml, xml, application/rssxml, tsv, application/geo+json, kmz, kmlAvailable download formats
    Dataset updated
    Feb 28, 2023
    Description

    Zoning districts are established to promote compatible patterns of land use within the zoning jurisdiction of the City and to establish site development regulations and performance standards appropriate to the purposes of each district and their respective uses. The Zoning Maps assign each piece of property to a "zone" which specifies how the land may be used.

    Zoning layer submitted to Solano County GIS Services. This layer is to be used for cartographic purposes; it portrays Dixon Zoning classifications.

    Uploaded 06/21/2022 by Buffy Conrad, GIS Analyst, Solano County Department of Information Technology.

  11. s

    Census Feature Lines: Solano County, California, 2010

    • searchworks.stanford.edu
    zip
    Updated Apr 14, 2024
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    (2024). Census Feature Lines: Solano County, California, 2010 [Dataset]. https://searchworks.stanford.edu/view/ky557tj2038
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    zipAvailable download formats
    Dataset updated
    Apr 14, 2024
    Area covered
    Solano County, California
    Description

    This polyline shapefile depicts centerlines for an extract of selected geographic and cartographic information, including water, railroad and road features, for the County of Solano, California from the United States Census Bureau Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB) for 2010. The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Edge refers to the linear topological primitives that make up MTDB. This "All Lines" shapefile contains linear features such as roads, railroads, and hydrography. Additional attribute data associated with the linear features found in the "All Lines" shapefile are available in relational (.dbf) files that users must download separately. The "All Lines" shapefile contains the geometry and attributes of each topological primitive edge. Each edge has a unique TIGER/Line identifier (TLID) value. This layer is part of a collection of GIS data produced by Solano County, California.

  12. Solano 2024 Roll Year

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • hub.arcgis.com
    • +1more
    Updated Jun 3, 2024
    + more versions
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    California Department of Tax and Fee Administration (2024). Solano 2024 Roll Year [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/5b7d7a7cf7ac48a3bbbe3ec6c9881593
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    Dataset updated
    Jun 3, 2024
    Dataset authored and provided by
    California Department of Tax and Fee Administrationhttp://cdtfa.ca.gov/
    License

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

    Area covered
    Description

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

  13. CDFW Regions

    • catalog.data.gov
    • data.cnra.ca.gov
    • +5more
    Updated Nov 27, 2024
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    California Department of Fish and Wildlife (2024). CDFW Regions [Dataset]. https://catalog.data.gov/dataset/cdfw-regions-bb093
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    Dataset updated
    Nov 27, 2024
    Dataset provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    Description

    This layer represents the California Department of Fish and Wildlife (CDFW) Region boundaries. CDFW has seven geographically-defined administrative regions. The terrestrial regions are delimited by county boundaries with the exception of the Region 2/Region 3 boundary which is defined as follows: Beginning at the intersection of the Stanislaus County boundary with Interstate 5, continuing north along Interstate 5 to Business 80 (Capital City Freeway) in Sacramento, then west on Business 80 to the Legal Delta boundary, then along the Legal Delta boundary north of Business 80 and Interstate 80 intersecting with Interstate 80 on the west side of the Yolo Bypass, then continuing west on Interstate 80 to the Solano County boundary, then continuing west and north along portions of the Solano, Napa, and Sonoma county boundaries ending at the intersection with the Mendocino County boundary. The Marine Region (Region 7) offshore boundary is represented by the official NOAA Three Nautical Mile Line - a maritime limt that depicts the outer extent of state jurisdiction.

  14. d

    i15 LandUse Solano2003

    • datasets.ai
    • cnra-test-nmp-cnra.hub.arcgis.com
    15, 21, 25, 3, 57, 8
    Updated May 14, 2024
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    State of California (2024). i15 LandUse Solano2003 [Dataset]. https://datasets.ai/datasets/i15-landuse-solano2003-b4c7a
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    21, 3, 8, 25, 57, 15Available download formats
    Dataset updated
    May 14, 2024
    Dataset authored and provided by
    State of California
    Description

    The 2003 Solano County land use survey data set was developed by DWR through its Division of Planning and Local Assistance which, following reorganization in 2009, is now called Division of Statewide Integrated Water Management (DSIWM). The data was gathered using aerial photography and extensive field visits, the land use boundaries and attributes were digitized, and the resultant data went through standard quality control procedures before finalizing. The land uses that were gathered were detailed agricultural land uses, and lesser detailed urban and native vegetation land uses. The data was gathered, digitized and quality control procedures were performed jointly by staff at DWR’s DSIWM headquarters and North Central Region. Important Points about Using this Data Set: 1. The land use boundaries were drawn on-screen using orthorectified imagery. They were drawn to depict observable areas of the same land use. They were not drawn to represent legal parcel (ownership) boundaries, or meant to be used as parcel boundaries. 2. This survey was a "snapshot" in time. The indicated land use attributes of each delineated area (polygon) were based upon what the surveyor saw in the field at that time, and, to an extent possible, whatever additional information the aerial photography might provide. The DWR land use attribute structure allows for up to three crops per delineated area (polygon). Fields outside of the Montezuma Hills were surveyed in May to map winter grain and again during the summer to collect data on other annual and perennial crops. In the cases where there were crops grown before the survey took place, the surveyor may or may not have been able to detect them from the field or the photographs. For crops planted after the survey date, the surveyor could not account for these crops. Thus, although the data is very accurate for that point in time, it may not be an accurate determination of what was grown in the fields for the whole year. If the area being surveyed does have double or multicropping systems, it is likely that there are more crops grown than could be surveyed with a "snapshot". 3. If the data is to be brought into a GIS for analysis of cropped (or planted) acreage, two things must be understood: a. The acreage of each field delineated is the gross area of the field. The amount of actual planted and irrigated acreage will always be less than the gross acreage, because of ditches, farm roads, other roads, farmsteads, etc. Thus, a delineated corn field may have a GIS calculated acreage of 40 acres but will have a smaller cropped (or net) acreage, maybe 38 acres. b. Double and multicropping must be taken into account. A delineated field of 40 acres might have been cropped first with grain, then with corn, and coded as such. To estimate actual cropped acres, the two crops are added together (38 acres of grain and 38 acres of corn) which results in a total of 76 acres of net crop (or planted) acres. 4. Not all land use codes will be represented in the survey. 5. This survey contains areas where land use data was not collected. These are indicated by “NS” in the class1 field. The non-surveyed area is located primarily in the Montezuma Hills near the Sacramento-San Joaquin River Delta, but also includes a few polygons outside that area. Many fields in the Montezuma Hills are usually planted to non-irrigated grain, so using only the fields mapped as “grain” to calculate acreage in this survey is likely to undercount the actual acres of grain grown in Solano County in 2003. 6. Sources of the irrigation water are included in this land use data. Water sources were determined through a combination of noting groundwater wells in the field and using the boundaries of Solano Irrigation District, Maine Prairie Water District, Reclamation District 2068 and the boundary of the Delta Service Area. We received the water district and Reclamation District boundaries from Solano Irrigation District in November of 2004. The boundaries had been recently updated at that time. There are likely to be individual fields whose actual water source is different from the source designated on our map because we did not verify water sources by contacting each grower.

    The associated data are considered DWR enterprise GIS data, which meet all appropriate requirements of the DWR Spatial Data Standards, specifically the DWR Spatial Data Standard version 3.3, dated April 13, 2022. DWR makes no warranties or guarantees - either expressed or implied - as to the completeness, accuracy, or correctness of the data. DWR neither accepts nor assumes liability arising from or for any incorrect, incomplete, or misleading subject data. See the CADWR Land User Viewer (gis.water.ca.gov/app/CADWRLandUseViewer) for the most current contact information. Comments, problems, improvements, updates, or suggestions should be forwarded to gis@water.ca.gov.

  15. c

    BOE TRA 2024 co48

    • gis.data.ca.gov
    • hub.arcgis.com
    Updated Jun 3, 2024
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    California Department of Tax and Fee Administration (2024). BOE TRA 2024 co48 [Dataset]. https://gis.data.ca.gov/datasets/CDTFA::boe-tra-2024-co48
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    Dataset updated
    Jun 3, 2024
    Dataset authored and provided by
    California Department of Tax and Fee Administration
    License

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

    Area covered
    Description

    This shapefile contains tax rate area (TRA) boundaries in Solano County for the specified assessment roll year. Boundary alignment is based on the 2023 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

  16. d

    Economic subareas of interest data for areas containing concentrated damage...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Economic subareas of interest data for areas containing concentrated damage resulting from the April 18, 2018, HayWired earthquake scenario in the San Francisco Bay region, California [Dataset]. https://catalog.data.gov/dataset/economic-subareas-of-interest-data-for-areas-containing-concentrated-damage-resulting-from
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    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    San Francisco Bay Area, California
    Description

    The data in this data release are comprised of one geospatial vector dataset and three tabular datasets related to the HayWired earthquake scenario, a magnitude 7.0 earthquake hypothesized to occur on April 18, 2018, with an epicenter in the city of Oakland, CA. The geospatial vector data are a representation of identified economic subareas for use in selected analyses related to selected counties in and around the San Francisco Bay region in California. Census tracts in seven economic subareas were identified, as was whether a tract potentially has a high concentration of building stock extensively or completely damaged by (1) earthquake hazards (ground shaking, landslide, liquefaction) and (2) all hazards (ground shaking, landslide, liquefaction, and fire following earthquake) resulting from the HayWired earthquake scenario mainshock. The tabular data are (1) counts of employed residents (total and by industry grouping) in identified economic subareas within four counties (Alameda, Contra Costa, Marin, Solano) or (2) employed resident/worker commute flow counts (total and by general industry sector) for employees who work or reside in areas of concentrated damage in economic subareas within four counties (Alameda, Contra Costa, Marin, Solano) in the San Francisco Bay region in California. Basic employed resident counts are presented at the census tract level with the associated economic subarea and area of concentrated damage designation included as ancillary information. Employed resident/worker commute flows are presented as aggregations based on: seven economic subareas in Alameda, Contra Costa, Marin, and Solano Counties (distinguished by whether or not an area is considered an area of concentrated damage as a result of damage from ground shaking, landslide, liquefaction, and fire); the remaining counties touching San Francisco Bay; and three regions from beyond the nine-county San Francisco Bay region. These summary data are intended for use in selected analyses related to the regional impact resulting from the HayWired earthquake scenario mainshock. The vector .SHP dataset was developed and intended for use in GIS applications such as ESRI's ArcGIS software suite. The tab-delimited .TXT datasets were developed and intended for use in GIS applications (such as ESRI's ArcGIS software suite) and (or) standalone spreadsheet or database applications (such as Microsoft Excel or Access). These data support the following publication: Wein, A.M., Belzer, D., Kroll, C., Au, C., Jones, J.L., Johnson, L.A., Olsen, A., and Peters, J., 2020, Spatial analysis of industries, employment, and commute flows in areas of concentrated damage from the HayWired earthquake scenario, chap. V5 of Detweiler, S.T., and Wein, A.M., eds., The HayWired earthquake scenario--Societal consequences: U.S. Geological Survey Scientific Investigations Report 2017-5013, https://doi.org/10.3133/sir20175013.

  17. f

    SPATIAL ORGANIZATION OF TOURIST ACTIVITY ON THE COAST OF PIAUI

    • scielo.figshare.com
    tiff
    Updated Jun 7, 2023
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    Solano de Souza Braga; Anderson Guzzi (2023). SPATIAL ORGANIZATION OF TOURIST ACTIVITY ON THE COAST OF PIAUI [Dataset]. http://doi.org/10.6084/m9.figshare.19921395.v1
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    tiffAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    SciELO journals
    Authors
    Solano de Souza Braga; Anderson Guzzi
    License

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

    Description

    Abstract Tourist activity occurs in a selective and fragmented manner in space. On the coast of Piauí, this fragmentation process has produced two types of territorialization: used territories versus territories neglected by tourism. This research aimed to identify and characterize these territories, considering the densification and / or dispersion of the tourist infrastructure. The methodology employed is a dialogical approach to interpret the spatial organization and its relationship with the tourist segments observed on the coast of Piauí, using Excel and ArcGis 10.1 software to systematize data. The analyses carried out identified how demand influences the organization of tourism infrastructure in some areas of the municipalities. Likewise, the existing organization of infrastructure and tourist services has also shaped visitor profiles in these areas, forming territories used and / or neglected by tourism. It is hoped that this study can inform decision-making by local public authorities concerning the social and environmental impacts of tourism activities.

  18. a

    San Francisco Bay Region Spheres of Influence

    • hub.arcgis.com
    • opendata.mtc.ca.gov
    • +1more
    Updated Aug 23, 2019
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    MTC/ABAG (2019). San Francisco Bay Region Spheres of Influence [Dataset]. https://hub.arcgis.com/datasets/e9accd91e02f47bd83edea4781eeb187
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    Dataset updated
    Aug 23, 2019
    Dataset authored and provided by
    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 2019Contra 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 2019City and County of San Francisco - does not have a sphere of influenceSan Mateo County - 'Sphere of Influence' feature service data downloaded from San Mateo County GIS open data on 15 August 2019Santa Clara County - 'City Spheres of Influence' feature service data downloaded from Santa Clara County Planning Office GIS Data on 15 August 2019Solano County - SphereOfInfluence feature service data downloaded from Solano GeoHub on 15 August 2019Sonoma County - 'SoCo PRMD GIS Spheres Influence.zip' downloaded from County of Sonoma on 15 August 2019

  19. i08 FaultCrossings SWP ObservationPoints

    • data.ca.gov
    • data.cnra.ca.gov
    • +4more
    Updated May 29, 2025
    + more versions
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    California Department of Water Resources (2025). i08 FaultCrossings SWP ObservationPoints [Dataset]. https://data.ca.gov/dataset/i08-faultcrossings-swp-observationpoints
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    csv, arcgis geoservices rest api, html, zip, geojson, kmlAvailable download formats
    Dataset updated
    May 29, 2025
    Dataset authored and provided by
    California Department of Water Resourceshttp://www.water.ca.gov/
    License

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

    Description

    Fault Descriptions of locations crossing the California Aqueduct, Coastal Branch, North Bay Aqueduct, and South Bay Aqueduct. Taken from "State Water Project, California Aqueduct Fault Crossings" report (PG Report 50-00-06) and supplemental maps (PG Report 50-00-06A) dated November 18, 1965. Fault crossings were collected before and during construction of the State Water Project (SWP) to inform design, and have been compiled in this database for future use in repairs and design. This compilation covers the SWP from North of San Francisco Bay in Solano County to Riverside County, and includes the California Aqueduct, North and South Bay Aqueducts, Coastal Branch, and West Branch.

  20. a

    City Boundaries

    • vallejo-open-data-covit.hub.arcgis.com
    Updated Sep 21, 2020
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    City of Vallejo (2020). City Boundaries [Dataset]. https://vallejo-open-data-covit.hub.arcgis.com/datasets/city-boundaries
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    Dataset updated
    Sep 21, 2020
    Dataset authored and provided by
    City of Vallejo
    Area covered
    Description

    City Boundaries in Solano County.Source: Department of IT, Solano County

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(2023). Solano Grass - Final Critical Habitat - USFWS [ds268] GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds0268.html

Solano Grass - Final Critical Habitat - USFWS [ds268] GIS Dataset

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Dataset updated
Sep 8, 2023
Description

CDFW BIOS GIS Dataset, Contact: U.S. Fish & Wildlife Service USFWS, Description: These data identify, in general, the areas where final critical habitat for Solano grass (Tuctoria mucronata), a vernal pool plant, occur. The purpose is to provide the user with a general idea of areas where final critical habitat for Solano grass (Tuctoria mucronata), a vernal pool plant, occur.

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