15 datasets found
  1. CA Geographic Boundaries

    • data.ca.gov
    • s.cnmilf.com
    • +1more
    shp
    Updated May 3, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    California Department of Technology (2024). CA Geographic Boundaries [Dataset]. https://data.ca.gov/dataset/ca-geographic-boundaries
    Explore at:
    shp(136046), shp(10153125), shp(2597712)Available download formats
    Dataset updated
    May 3, 2024
    Dataset authored and provided by
    California Department of Technologyhttp://cdt.ca.gov/
    Description

    This dataset contains shapefile boundaries for CA State, counties and places from the US Census Bureau's 2023 MAF/TIGER database. Current geography in the 2023 TIGER/Line Shapefiles generally reflects the boundaries of governmental units in effect as of January 1, 2023.

  2. c

    California Public Schools and Districts Map

    • gis.data.ca.gov
    • data.ca.gov
    • +1more
    Updated Oct 24, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    California Department of Education (2018). California Public Schools and Districts Map [Dataset]. https://gis.data.ca.gov/maps/169b581b560d4150b03ce84502fa5c72
    Explore at:
    Dataset updated
    Oct 24, 2018
    Dataset authored and provided by
    California Department of Education
    License

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

    Area covered
    Description

    This web map displays the California Department of Education's (CDE) core set of geographic data layers. This content represents the authoritative source for all statewide public school site locations and school district service areas boundaries for the 2018-19 academic year. The map also includes school and district layers enriched with student demographic and performance information from the California Department of Education's data collections. These data elements add meaningful statistical and descriptive information that can be visualized and analyzed on a map and used to advance education research or inform decision making.

  3. COVID-19 California Case Map by City

    • data.amerigeoss.org
    esri rest, html
    Updated Apr 20, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    ESRI (2020). COVID-19 California Case Map by City [Dataset]. https://data.amerigeoss.org/gl/dataset/covid-19-california-case-map-by-city
    Explore at:
    esri rest, htmlAvailable download formats
    Dataset updated
    Apr 20, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Area covered
    California
    Description

    This map shows cases broken down by the county level and city level in Southern California.

    California COVID-19 county level counts for COVID-19 cases. Feature layer sourced from data collected at https://coronavirus.1point3acres.com/en, updated at least daily.

    All city information comes from their county's counts.

  4. W

    Utilities Fire Threat Areas

    • wifire-data.sdsc.edu
    • hub.arcgis.com
    • +2more
    esri rest, html
    Updated Sep 3, 2019
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CA Governor's Office of Emergency Services (2019). Utilities Fire Threat Areas [Dataset]. https://wifire-data.sdsc.edu/dataset/utilities-fire-threat-areas
    Explore at:
    esri rest, htmlAvailable download formats
    Dataset updated
    Sep 3, 2019
    Dataset provided by
    CA Governor's Office of Emergency Services
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    In 2012, the CPUC ordered the development of a statewide map that is designed specifically for the purpose of identifying areas where there is an increased risk for utility associated wildfires. The development of the CPUC -sponsored fire-threat map, herein "CPUC Fire-Threat Map," started in R.08-11-005 and continued in R.15-05-006.

    A multistep process was used to develop the statewide CPUC Fire-Threat Map. The first step was to develop Fire Map 1 (FM 1), an agnostic map which depicts areas of California where there is an elevated hazard for the ignition and rapid spread of powerline fires due to strong winds, abundant dry vegetation, and other environmental conditions. These are the environmental conditions associated with the catastrophic powerline fires that burned 334 square miles of Southern California in October 2007. FM 1 was developed by CAL FIRE and adopted by the CPUC in Decision 16-05-036.

    FM 1 served as the foundation for the development of the final CPUC Fire-Threat Map. The CPUC Fire-Threat Map delineates, in part, the boundaries of a new High Fire-Threat District (HFTD) where utility infrastructure and operations will be subject to stricter fire‑safety regulations. Importantly, the CPUC Fire-Threat Map (1) incorporates the fire hazards associated with historical powerline wildfires besides the October 2007 fires in Southern California (e.g., the Butte Fire that burned 71,000 acres in Amador and Calaveras Counties in September 2015), and (2) ranks fire-threat areas based on the risks that utility-associated wildfires pose to people and property.

    Primary responsibility for the development of the CPUC Fire-Threat Map was delegated to a group of utility mapping experts known as the Peer Development Panel (PDP), with oversight from a team of independent experts known as the Independent Review Team (IRT). The members of the IRT were selected by CAL FIRE and CAL FIRE served as the Chair of the IRT. The development of CPUC Fire-Threat Map includes input from many stakeholders, including investor-owned and publicly owned electric utilities, communications infrastructure providers, public interest groups, and local public safety agencies.

    The PDP served a draft statewide CPUC Fire-Threat Map on July 31, 2017, which was subsequently reviewed by the IRT. On October 2 and October 5, 2017, the PDP filed an Initial CPUC Fire-Threat Map that reflected the results of the IRT's review through September 25, 2017. The final IRT-approved CPUC Fire-Threat Map was filed on November 17, 2017. On November 21, 2017, SED filed on behalf of the IRT a summary report detailing the production of the CPUC Fire-Threat Map(referenced at the time as Fire Map 2). Interested parties were provided opportunity to submit alternate maps, written comments on the IRT-approved map and alternate maps (if any), and motions for Evidentiary Hearings. No motions for Evidentiary Hearings or alternate map proposals were received. As such, on January 19, 2018 the CPUC adopted, via Safety and Enforcement Division's (SED) disposition of a Tier 1 Advice Letter, the final CPUC Fire-Threat Map.


    Additional information can be found here.

  5. City and County Boundary Line Changes

    • gis.data.ca.gov
    • catalog.ogopendata.com
    • +3more
    Updated Mar 6, 2015
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    California Department of Tax and Fee Administration (2015). City and County Boundary Line Changes [Dataset]. https://gis.data.ca.gov/maps/93f73ae0070240fca9a4d3826ddb83cd
    Explore at:
    Dataset updated
    Mar 6, 2015
    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

    This map includes change areas for city and county boundaries filed in accordance with Government Code 54900. The initial dataset was first published on October 20, 2021, and was based on the State Board of Equalization's tax rate area boundaries. As of April 1, 2024, the maintenance of this dataset is provided by the California Department of Tax and Fee Administration for the purpose of determining sales and use tax jurisdictions. The boundaries are continuously being revised when areas of conflict are discovered between the original boundary provided by the California State Board of Equalization and the boundary made publicly available by local, state, and federal government. Some differences may occur between actual recorded boundaries and the boundaries used for sales and use tax purposes. The boundaries in this map are representations of taxing jurisdictions and should not be used to determine precise city or county boundary line locations.The data is updated within 10 business days of the CDTFA receiving a copy of the Board of Equalization's acknowledgement letter.BOE_CityAnx Data Dictionary: COFILE = county number - assessment roll year - file number (see note*); CHANGE = affected city, unincorporated county, or boundary correction; EFFECTIVE = date the change was effective by resolution or ordinance (see note*); RECEIVED = date the change was received at the BOE; ACKNOWLEDGED = date the BOE accepted the filing for inclusion into the tax rate area system; NOTES = additional clarifying information about the action.*Note: A COFILE number ending in "000" is a boundary correction and the effective date used is the date the map was corrected.BOE_CityCounty Data Dictionary: COUNTY = county name; CITY = city name or unincorporated territory; COPRI = county number followed by the 3-digit city primary number used in the Board of Equalization's 6-digit tax rate area numbering system (for the purpose of this map, unincorporated areas are assigned 000 to indicate that the area is not within a city).

  6. W

    Tier 2 - Elevated

    • wifire-data.sdsc.edu
    csv, esri rest +4
    Updated Sep 3, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CA Governor's Office of Emergency Services (2019). Tier 2 - Elevated [Dataset]. https://wifire-data.sdsc.edu/dataset/tier-2-elevated
    Explore at:
    esri rest, csv, zip, html, geojson, kmlAvailable download formats
    Dataset updated
    Sep 3, 2019
    Dataset provided by
    CA Governor's Office of Emergency Services
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    In 2012, the CPUC ordered the development of a statewide map that is designed specifically for the purpose of identifying areas where there is an increased risk for utility associated wildfires. The development of the CPUC -sponsored fire-threat map, herein "CPUC Fire-Threat Map," started in R.08-11-005 and continued in R.15-05-006.

    A multistep process was used to develop the statewide CPUC Fire-Threat Map. The first step was to develop Fire Map 1 (FM 1), an agnostic map which depicts areas of California where there is an elevated hazard for the ignition and rapid spread of powerline fires due to strong winds, abundant dry vegetation, and other environmental conditions. These are the environmental conditions associated with the catastrophic powerline fires that burned 334 square miles of Southern California in October 2007. FM 1 was developed by CAL FIRE and adopted by the CPUC in Decision 16-05-036.

    FM 1 served as the foundation for the development of the final CPUC Fire-Threat Map. The CPUC Fire-Threat Map delineates, in part, the boundaries of a new High Fire-Threat District (HFTD) where utility infrastructure and operations will be subject to stricter fire‑safety regulations. Importantly, the CPUC Fire-Threat Map (1) incorporates the fire hazards associated with historical powerline wildfires besides the October 2007 fires in Southern California (e.g., the Butte Fire that burned 71,000 acres in Amador and Calaveras Counties in September 2015), and (2) ranks fire-threat areas based on the risks that utility-associated wildfires pose to people and property.

    Primary responsibility for the development of the CPUC Fire-Threat Map was delegated to a group of utility mapping experts known as the Peer Development Panel (PDP), with oversight from a team of independent experts known as the Independent Review Team (IRT). The members of the IRT were selected by CAL FIRE and CAL FIRE served as the Chair of the IRT. The development of CPUC Fire-Threat Map includes input from many stakeholders, including investor-owned and publicly owned electric utilities, communications infrastructure providers, public interest groups, and local public safety agencies.

    The PDP served a draft statewide CPUC Fire-Threat Map on July 31, 2017, which was subsequently reviewed by the IRT. On October 2 and October 5, 2017, the PDP filed an Initial CPUC Fire-Threat Map that reflected the results of the IRT's review through September 25, 2017. The final IRT-approved CPUC Fire-Threat Map was filed on November 17, 2017. On November 21, 2017, SED filed on behalf of the IRT a summary report detailing the production of the CPUC Fire-Threat Map(referenced at the time as Fire Map 2). Interested parties were provided opportunity to submit alternate maps, written comments on the IRT-approved map and alternate maps (if any), and motions for Evidentiary Hearings. No motions for Evidentiary Hearings or alternate map proposals were received. As such, on January 19, 2018 the CPUC adopted, via Safety and Enforcement Division's (SED) disposition of a Tier 1 Advice Letter, the final CPUC Fire-Threat Map.


    Additional information can be found here.

  7. c

    Marine Mammal Sightings - Southern California Bight [ds395] GIS Dataset

    • map.dfg.ca.gov
    Updated Apr 4, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2024). Marine Mammal Sightings - Southern California Bight [ds395] GIS Dataset [Dataset]. https://map.dfg.ca.gov/metadata/ds0395.html
    Explore at:
    Dataset updated
    Apr 4, 2024
    Area covered
    California
    Description

    CDFW BIOS GIS Dataset, Contact: John Takekawa, Description: Aerial at-sea and coastal surveys were conducted to examine the distribution and abundance of marine mammals off Southern California, from Cambria, California to the Mexican border. From May 1999 to January 2002, nine complete aerial surveys were flown on 102 days, covering over 54,640 km of transects, of the entire Southern California Bight (Bight) during January, May, and September. In total, 20 unique species were identified including 4 pinnipeds, one carnivore, and 15 cetaceans.

  8. Data from: National Highway System

    • data.ca.gov
    • gis.data.ca.gov
    • +1more
    Updated Jul 18, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Caltrans (2023). National Highway System [Dataset]. https://data.ca.gov/dataset/national-highway-system
    Explore at:
    kml, html, zip, csv, arcgis geoservices rest api, geojsonAvailable download formats
    Dataset updated
    Jul 18, 2023
    Dataset provided by
    California Department of Transportationhttp://dot.ca.gov/
    Authors
    Caltrans
    License

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

    Description

    The National Highway System consists of a network of roads important to the economy, defense and mobility. On October 1, 2012 the existing National Highway System (NHS) was expanded to include all existing Principal Arterials (i.e. Functional Classifications 1, 2 and 3) to the new Enhanced NHS.

    Under MAP-21, the Enhanced NHS is composed of rural and urban roads nationwide serving major population centers, international border crossings, intermodal transportation facilities, and major travel destinations.The NHS includes:

    The Interstate System.

    • Other Principal arterials and border crossings on those routes (including other urban and rural principal arterial routes, and border crossings on those routes, that were not included on the NHS before the date of enactment of the MAP-21).
    • Intermodal connectors -- highways that provide motor vehicle access between the NHS and major intermodal transportation facilities.
    • STRAHNET -- the network of highways important to U.S. strategic defense.
    • STRAHNET connectors to major military installations.

  9. d

    Geologic Map of the Death Valley Ground-Water Model Area, Nevada and...

    • data.doi.gov
    • search.dataone.org
    • +1more
    Updated Mar 22, 2021
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U. S. Geological Survey (Point of Contact) (2021). Geologic Map of the Death Valley Ground-Water Model Area, Nevada and California [Dataset]. https://data.doi.gov/dataset/geologic-map-of-the-death-valley-ground-water-model-area-nevada-and-california
    Explore at:
    Dataset updated
    Mar 22, 2021
    Dataset provided by
    U. S. Geological Survey (Point of Contact)
    Area covered
    Death Valley, Nevada, California
    Description

    This digital geologic and tectonic database of the Death Valley ground-water model area, as well as its accompanying geophysical maps, are compiled at 1:250,000 scale. The map compilation presents new polygon, line, and point vector data for the Death Valley region. The map area is enclosed within a 3 degree X 3 degree area along the border of southern Nevada and southeastern California. In addition to the Death Valley National Park and Death Valley-Furnace Creek fault systems, the map area includes the Nevada Test Site, the southwest Nevada volcanic field, the southern end of the Walker Lane (from southern Esmeralda County, Nevada, to the Las Vegas Valley shear zone and Stateline fault system in Clark County, Nevada), the eastern California shear zone (in the Cottonwood and Panamint Mountains), the eastern end of the Garlock fault zone (Avawatz Mountains), and the southern basin and range (central Nye and western Lincoln Counties, Nevada). This geologic map improves on previous geologic mapping in the area by providing new and updated Quaternary and bedrock geology, new interpretation of mapped faults and regional structures, new geophysical interpretations of faults beneath the basins, and improved GIS coverages. The basic geologic database has tectonic interpretations imbedded within it through attributing of structure lines and unit polygons which emphasize significant and through-going structures and units. An emphasis has been put on features which have important impacts on ground-water flow. Concurrent publications to this one include a new isostatic gravity map (Ponce and others, 2001), a new aeromagnetic map (Ponce and Blakely, 2001), and contour map of depth to basement based on inversion of gravity data (Blakely and Ponce, 2001).

  10. Bear Hunt Areas [ds2807]

    • data-cdfw.opendata.arcgis.com
    • data.ca.gov
    • +6more
    Updated Nov 28, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    California Department of Fish and Wildlife (2018). Bear Hunt Areas [ds2807] [Dataset]. https://data-cdfw.opendata.arcgis.com/datasets/CDFW::bear-hunt-areas-ds2807/about
    Explore at:
    Dataset updated
    Nov 28, 2018
    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
    Description

    Except as provided in Section 366, bear may be taken only as follows:(a) Areas:(1) Northern California: In the counties of Del Norte, Humboldt, Plumas, Shasta, Siskiyou, Tehama and Trinity; and those portions of Lassen and Modoc counties west of the following line: Beginning at Highway 395 and the Sierra-Lassen county line; north on Highway 395 to the junction of Highway 36; west on Highway 36 to the junction of Highway 139; north on Highway 139 to Highway 299; north on Highway 299 to County Road 87; west on County Road 87 to Lookout-Hackamore Road; north on Lookout-Hackamore Road to Highway 139; north on Highway 139 to the Modoc-Siskiyou county line; north on the Modoc-Siskiyou county line to the Oregon border.(2) Central California: In the counties of Alpine, Amador, Butte, Calaveras, Colusa, El Dorado, Glenn, Lake, Mendocino, Nevada, Placer, Sacramento, Sierra, Sutter, Yolo and Yuba and those portions of Napa and Sonoma counties northeast of Highway 128.(3) Southern Sierra: That portion of Kern County west of Highway 14 and east of the following line: Beginning at the intersection of Highway 99 and the Kern-Tulare county line; south on Highway 99 to Highway 166; west and south on Highway 166 to the Kern-Santa Barbara county line; and those portions of Fresno, Madera, Mariposa, Merced, Stanislaus, Tulare and Tuolumne counties east of Highway 99.(4) Southern California: In the counties of Los Angeles, Santa Barbara and Ventura; that portion of Riverside County north of Interstate 10 and west of Highway 62; and that portion of San Bernardino County south and west of the following line: Beginning at the intersection of Highway 18 and the Los Angeles-San Bernardino county line; east along Highway 18 to Highway 247; southeast on Highway 247 to Highway 62; southwest along Highway 62 to the Riverside-San Bernardino county line.(5) Southeastern Sierra: Those portions of Inyo and Mono counties west of Highway 395; and that portion of Madera County within the following line: Beginning at the junction of the Fresno-Madera-Mono county lines; north and west along the Madera-Mono county line to the boundary of the Inyo-Sierra National Forest; south along the Inyo-Sierra National Forest boundary to the Fresno-Madera county line; north and east on the Fresno-Madera county line to the point of beginning. Also, that portion of Inyo county west of Highway 395; and that portion of Mono county beginning at the intersection of Highway 6 and the Mono county line; north along Highway 6 to the Nevada state line; north along the Nevada state line to the Alpine county line; south along the Mono-Alpine county line to the Mono-Tuolumne county line and the Inyo National Forest Boundary; south along the Inyo National Forest Boundary to the Inyo-Sierra Forest boundary; south along the Inyo-Sierra Forest boundary to the Fresno-Madera county line; north and east along the Fresno-Madera county line to the junction of the Fresno-Madera-Mono county line; south along the Mono-Fresno county line to the Mono-Inyo County line; east along the Mono-Inyo county line to the point of beginning.

  11. a

    Border Crossings/ Postes frontaliers

    • icorridor-mto-on-ca.hub.arcgis.com
    Updated Apr 1, 2014
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Authoritative_iCorridor_mto_on_ca (2014). Border Crossings/ Postes frontaliers [Dataset]. https://icorridor-mto-on-ca.hub.arcgis.com/items/7ddde6b86d3347bf9407e1edb102302f
    Explore at:
    Dataset updated
    Apr 1, 2014
    Dataset authored and provided by
    Authoritative_iCorridor_mto_on_ca
    Area covered
    Description

    sourced from https://data.ontario.ca/en/dataset/border-crossingsBorder crossings are a feature included on the Official Road Map of Ontario (ORM) for information purposes to the travelling public. Includes highway-land and ferry crossings. It was created as part of the Digital Cartographic Reference Base (DCRB) for the production of the ORM.Les postes frontaliers sont une composante qui apparait sur la carte routiere officielle de l'Ontario aux fins d'information des usagers de la route. Les postes frontaliers routiers et maritimes apparaissent sur le plan. Celui-ci a ete cree a partir de la Digital Cartographic Reference Base (DCRB) [Base de reference cartographique numerique] aux fins de la production de la carte routiere officielle de l'Ontario.Field NameDescriptionValuesFIDSequential unique whole numbers that are automatically generatedObject IDShapeFeature geometry (point, polyline, polygon)GeometryMTOCODEUnique number assigned to identify a type of feature. Used for selecting symbology.Double112 = Border CrossingSOURCESource of informationTextSRC_DATCurrency of informationDateENT_DATDate that update occurredDateUPDATE_BYPerson who performed the update (Initials)TextCOMMENTSAdditional informationTextORM“Yes” indicates that the feature is shown on the north or south main map face of the Official Road Map of OntarioTexty = yesn = noINSET“Yes” indicates that the feature is shown on an enlargement on the Official Road Map of OntarioTexty = yesn = noMAP“n” or “s” indicates a feature is shown on the north or south main map face of the Official Road Map of Ontario, or an enlargement in northern or southern Ontario“ns” indicates a feature is shown on the north and south map faces of the Official Road Map of Ontario, or an enlargement in northern or southern OntarioTextn = norths = southns = north/southNAMEName of the border crossingTextServiceHours of service at border crossingTextCommunityCanadian city/town/village closest to or where the border crossing is locatedTextUS_PORT_OFUS city/town/village closest to or where the border crossing is locatedTextNom du champDescriptionValeursFIDNombres entiers uniques séquentiels générés automatiquement.Identifiant de l'objetShapeGéométrie de la composante (point, polyligne, polygone)GéométrieMTOCODENombre unique attribué afin d'identifier un type de composante. Sert à sélectionner la symbologie.Double112 = poste frontalierSOURCESource de renseignementsTexteSRC_DATActualité des renseignementsDateENT_DATDate de la mise à jourDateUPDATE_BYPersonne qui a effectué la mise à jour (initiales)TexteCOMMENTSRenseignements supplémentairesTexteORM« Oui » indique que la composante apparaît sur le champ principal nord ou sud de la carte routière officielle de l'Ontario.Texteo = ouin = nonINSET« Oui » indique que la composante apparaît dans un agrandissement de la carte routière officielle de l'Ontario.Texteo = ouin = nonMAP« n » ou « s » indique que la composante apparaît sur le champ principal nord ou sud de la carte routière officielle de l'Ontario, ou dans un agrandissement du Nord ou du Sud de l'Ontario.« ns » indique que la composante apparaît sur les champs nord et sud de la carte routière officielle de l'Ontario, ou dans un agrandissement du Nord ou du Sud de l'Ontario.Texten = nords = sudns = nord/sudNAMENom du poste frontalierTexteServiceHeures de service au poste frontalierTexteCommunityVille canadienne/village canadien situé le plus près du poste frontalier.TexteUS_PORT_OFVille américaine/village américain situé le plus près du poste frontalier.Texte

  12. e

    Archaeological Sites of Coastal Southern California

    • knb.ecoinformatics.org
    • search.dataone.org
    Updated Jan 6, 2015
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    William McClintock (2015). Archaeological Sites of Coastal Southern California [Dataset]. http://doi.org/10.5063/AA/will.4.1
    Explore at:
    Dataset updated
    Jan 6, 2015
    Dataset provided by
    Knowledge Network for Biocomplexity
    Authors
    William McClintock
    Time period covered
    Jan 1, 1987
    Area covered
    Description

    This dataset represents the state of knowledge about the distribution of archeological sites distributed along coastal southern california as of 1987. The dataset is derived from a map series of seven adjacent but descrete maps illustrating seafloor sediment and rock. The purpose of this project was to create digital, GIS format versions of the Coastal Southern California archeological site maps originally produced by PS Associates of Cardiff, California for the Minerals Management Service in Reston, Verginia.

    Original map title: Prehistoric Archaeological Site Distribution Map. California Outer Continental Shelf Archeaological Resource Study from Morro Bay to the Mexican Border. Prepared by P.S. Associates, Contract number 14-12-0001-30272, May 1, 1987. Map scale was 1:125,000. Used maps 1C, 2C, 3C, 4C 5C.

  13. n

    Category 5 Hurricane Storm Surge Risk Maps - Tile Layer

    • nconemap.gov
    • nc-onemap-2-nconemap.hub.arcgis.com
    Updated Aug 6, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NC OneMap / State of North Carolina (2024). Category 5 Hurricane Storm Surge Risk Maps - Tile Layer [Dataset]. https://www.nconemap.gov/datasets/nconemap::category-5-hurricane-storm-surge-risk-maps-tile-layer
    Explore at:
    Dataset updated
    Aug 6, 2024
    Dataset authored and provided by
    NC OneMap / State of North Carolina
    Area covered
    Description

    National Hurricane Center - National Storm Surge Hazard Maps - https://www.nhc.noaa.gov/nationalsurge/The SLOSH (Sea, Lake, and Overland Surges from Hurricanes) model is a numerical model used by NWS to compute storm surge. Storm surge is defined as the abnormal rise of water generated by a storm, over and above the predicted astronomical tides. Flooding from storm surge depends on many factors, such as the track, intensity, size, and forward speed of the hurricane and the characteristics of the coastline where it comes ashore or passes nearby. For planning purposes, the NHC uses a representative sample of hypothetical storms to estimate the near worst-case scenario of flooding for each hurricane category.This is version 3 of the NHC National Storm Surge Risk Maps. The updates in this version include data mapped to 10m DEMs for the US Gulf and East Coast. The following new regions have been added: Southern California (hurricane wind category 1 and 2 storms), Guam, American Samoa, and the Yucatan Peninsula for parts of Mexico, Belize, and Honduras. For simplicity, the tiled map services are published by hurricane wind category and all available mapped regions for that category are provided in that web map.The following areas are mapped in the hurricane wind Category 5 Maps:US Gulf and East Coast (South of NC/VA border)Puerto Rico and US Virgin IslandsGuamAmerican SamoaHispaniolaYucatan Peninsula- parts of Mexico, Belize, Guatemala, and western HondurasSLOSH employs curvilinear polar, elliptical, and hyperbolic telescoping mesh grids to simulate the storm surge hazard. The spatial coverage for each SLOSH grid ranges from an area the size of a few counties to a few states. The resolution of individual grid cells within each basin ranges from tens to hundreds of meters to a kilometer or more. Sub-grid scale water features and topographic obstructions such as channels, rivers, and cuts and levees, barriers, and roads, respectively, are parameterized to improve the modeled water levels.The NHC provides two products based on hypothetical hurricanes: MEOWs and MOMs. MEOWs are created by computing the maximum storm surge resulting from up to 100,000 hypothetical storms simulated through each SLOSH grid of varying forward speed, radius of maximum wind, intensity (Categories 1-5), landfall location, tide level, and storm direction. A MEOW product is created for each combination of category, forward speed, storm direction, and tide level. SLOSH products exclude Category 5 storms north of the NC/VA border. SLOSH products only include hurricane wind Category 1-4 scenarios for Hawaii and hurricane wind category 1-2 scenarios for Southern California. For each storm combination, parallel storms make landfall in 5 to 10 mile increments along the coast within the SLOSH grid, and the maximum storm surge footprint from each simulation is composited, retaining the maximum height of storm surge in a given basin grid cell. These are called MEOWs and no single hurricane will produce the regional flooding depicted in the MEOWs. SLOSH model MOMs are an ensemble product of maximum storm surge heights. SLOSH MOMs are created for each storm category by retaining the maximum storm surge value in each grid cell for all the MEOWs, regardless of the forward speed, storm trajectory, or landfall location. SLOSH MOMs are available for mean tide and high tide scenarios and represent the near worst-case scenario of flooding under ideal storm conditions. A high tide initial water level was used for the storm surge hazard maps.This product uses the expertise of the NHC Storm Surge Unit to merge the operational SLOSH grids to build a seamless map of storm surge hazard scenarios using the MOM product. Each individual SLOSH grid for the Category 1-5 MOMs are merged into a single, seamless grid. The seamless grid is then resampled, interpolated, and processed with a DEM (Digital Elevation Model, i.e. topography) to compute the storm surge hazard above ground for each hurricane wind category. The SLOSH MOM storm surge hazard data used to create these maps are constrained by the extent of the SLOSH grids and users should be aware that risk due to storm surge flooding could extend beyond the areas depicted in these maps.Users of this hazard map should be aware that potential storm surge flooding is not depicted within some levee areas, such as the Hurricane & Storm Damage Risk Reduction System in Louisiana. These areas are highly complex and water levels resulting from overtopping are difficult to predict. Users are urged to consult local officials for flood risk inside these leveed areas. If applicable to the region displayed by the map, these leveed areas will be depicted with a black and white diagonal hatch pattern. Not all levee areas are included in this analysis - in particular, local features such as construction walls, levees, berms, pumping systems, or other mitigation systems found at the local level may not be included in this analysis. Additionally, some marshy or low lying areas are not mapped in this analysis.In locations that have a steep and narrow continental shelf, wave setup can be a substantial contributor to the total water level rise observed during a tropical cyclone. Wave setup is defined as the increase in mean water level due to momentum transfer to the water column by waves that are breaking or otherwise dissipating their energy. The following locations use SLOSH+Wave Setup simulations to create MEOW and MOM products that account for the increase in the mean water level due to wave setup: Puerto Rico, US Virgin Islands, Hawaii, Hispaniola, Guam, American Samoa, and Southern California. Through the USAID/WMO Coastal Inundation and Flooding Demonstration Project, these SLOSH storm surge risk products were created for the Island of Hispaniola.

  14. d

    Data from: a100sc.m77t and a100sc.h77t: MGD77T data and header files for...

    • datadiscoverystudio.org
    • data.usgs.gov
    • +6more
    m77t, pdf
    Updated May 21, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2018). a100sc.m77t and a100sc.h77t: MGD77T data and header files for single-beam bathymetry data for field activity A-1-00-SC in Southern California from Port Hueneme to Mexican Border from 06/05/2000 to 06/29/2000. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/d456ddc59d944ada9a5deab7958cf1d2/html
    Explore at:
    pdf, m77tAvailable download formats
    Dataset updated
    May 21, 2018
    Description

    description: Single-beam bathymetry data along with DGPS navigation data was collected as part of the U.S. Geological Survey cruise A-1-00-SC. The cruise was conducted from Port Hueneme, California, to the Mexican border from June 5 to June 29, 2000. The chief scientists were Chris Gutmacher, Stephanie Ross, Brian Edwards all from the USGS Coastal and Marine Geology office in Menlo Park, CA. The purpose of this cruise was to identify and map active and potentially active faults, folds, and submarine slide-prone areas that may threaten densely populated areas of Southern California. This survey was also taken to determine the pathways through which sea-water is intruding into aquifers of Los Angeles County in the area of the Long Beach and Los Angeles harbors. The geophysical source was a Knudsen 12 kilohertz (kHz) 320B/R echosounder. These data are reformatted from space-delimited ASCII text files located in the Coastal and Marine Geology Program (CMGP) InfoBank field activity catalog at http://walrus.wr.usgs.gov/infobank/a/a100sc/html/a-1-00-sc.meta.html into MGD77T format provided by the NOAA's National Geophysical Data Center(NGDC). The MGD77T format includes a header (documentation) file (.h77t) and a data file (.m77t). More information regarding this format can be found in the publication listed in the Cross_reference section of this metadata file.; abstract: Single-beam bathymetry data along with DGPS navigation data was collected as part of the U.S. Geological Survey cruise A-1-00-SC. The cruise was conducted from Port Hueneme, California, to the Mexican border from June 5 to June 29, 2000. The chief scientists were Chris Gutmacher, Stephanie Ross, Brian Edwards all from the USGS Coastal and Marine Geology office in Menlo Park, CA. The purpose of this cruise was to identify and map active and potentially active faults, folds, and submarine slide-prone areas that may threaten densely populated areas of Southern California. This survey was also taken to determine the pathways through which sea-water is intruding into aquifers of Los Angeles County in the area of the Long Beach and Los Angeles harbors. The geophysical source was a Knudsen 12 kilohertz (kHz) 320B/R echosounder. These data are reformatted from space-delimited ASCII text files located in the Coastal and Marine Geology Program (CMGP) InfoBank field activity catalog at http://walrus.wr.usgs.gov/infobank/a/a100sc/html/a-1-00-sc.meta.html into MGD77T format provided by the NOAA's National Geophysical Data Center(NGDC). The MGD77T format includes a header (documentation) file (.h77t) and a data file (.m77t). More information regarding this format can be found in the publication listed in the Cross_reference section of this metadata file.

  15. Travel Model Super Districts

    • opendata.mtc.ca.gov
    Updated Mar 19, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MTC/ABAG (2018). Travel Model Super Districts [Dataset]. https://opendata.mtc.ca.gov/maps/travel-model-super-districts
    Explore at:
    Dataset updated
    Mar 19, 2018
    Dataset provided by
    Metropolitan Transportation Commission
    Authors
    MTC/ABAG
    License

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

    Area covered
    Description

    Descriptions of Metropolitan Transportation Commission's 34 Super DistrictsSuper District #1 - Greater Downtown San Francisco: This area, the northeastern quadrant of the city, is bounded by Van Ness Avenue on the west, 11th Street on the southwest, and Townsend Street on the south. This Super District includes the following neighborhoods and districts: Financial District, Union Square, Tenderloin, Civic Center, South of Market, South Park, Rincon Hill, Chinatown, Jackson Square, Telegraph Hill, North Beach, Nob Hill, Russian Hill, Polk Gulch and Fisherman's Wharf. Treasure Island and Yerba Buena Island are also part of Super District #1.Super District #2 - Richmond District: This area, the northwestern quadrant of the city, is bounded by Van Ness Avenue on the east, Market Street on the southeast, and 17th Street, Stanyan Street, and Lincoln Way on the south. Super District #2 includes the following neighborhoods and districts: the Presidio, the Western Addition District, the Marina, Cow Hollow, Pacific Heights, Cathedral Hill, Japantown, Hayes Valley, Duboce Triangle, the Haight-Ashbury, the Richmond District, Inner Richmond, Outer Richmond, Laurel Heights, Sea Cliff, and the Golden Gate Park.Super District #3 - Mission District: This area, the southeastern quadrant of the city, is bounded by Townsend Street, 11th Street, Market Street, 17th Street, Stanyan Street, and Lincoln Way on the northern boundary; 7th Avenue, Laguna Honda, Woodside Avenue, O'Shaughnessy Boulevard and other smaller streets (Juanita, Casita, El Verano, Ashton, Orizaba) on the western boundary; and by the San Mateo County line on the southern boundary. Super District #3 includes the following neighborhoods and districts: China Basin, Potrero Hill, Inner Mission, Outer Mission, Twin Peaks, Parnassus Heights, Dolores Heights, Castro, Eureka Valley, Noe Valley, Bernal Heights, Glen Park, Ingleside, Ocean View, the Excelsior, Crocker-Amazon, Visitacion Valley, Portola, Bayview, and Hunters Point.Super District #4 - Sunset District: This area, the southwestern quadrant of the city, is bounded by Lincoln Way (Golden Gate Park) on the north; 7th Avenue, Laguna Honda, Woodside Avenue, O'Shaughnessy Boulevard and other smaller streets (Juanita, Casita, El Verano, Ashton, Orizaba) on the eastern boundary; and by the San Mateo County line on the southern boundary. Super District #4 includes the following neighborhoods and districts: Inner Sunset, the Sunset District, Sunset Heights, Parkside, Lake Merced District, Park-Merced, Ingleside Heights, West Portal and St. Francis Wood.Super District #5 - Daly City/San Bruno: This northern San Mateo County Super District includes the communities of Daly City, Colma, Brisbane, South San Francisco, Pacifica, San Bruno, Millbrae, and the north part of Burlingame. The boundary between Super District #5 and Super District #6 is Broadway, Carmelita Avenue, El Camino Real, Easton Drive, the Hillsborough / Burlingame city limits, Interstate 280, Skyline Boulevard, the Pacifica city limits, and the Montara Mountain ridgeline extending to Devil's Slide on the coast.Super District #6 - San Mateo/Burlingame: The central San Mateo County Super District includes the communities of Hillsborough, San Mateo, Foster City, Belmont, the southern part of Burlingame, and the coastside communities of Montara, Moss Beach, El Granada, and Half Moon Bay. The southern boundary of Super District #6 is the Foster City city limits, the Belmont/San Carlos city limits, Interstate 280, Kings Mountain, Lobitos Creek extending to Martins Beach on the coast.Super District #7 - Redwood City/Menlo Park: The southern San Mateo County Super District includes the communities of San Carlos, Redwood Shores, Redwood City, Atherton, Menlo Park, East Palo Alto, Woodside, Portola Valley, and the coastside communities of San Gregorio and Pescadero.Super District #8 - Palo Alto/Los Altos: This Santa Clara County Super District includes the communities of Palo Alto, Los Altos, Los Altos Hills, and the western part of Mountain View. Boundaries include the San Mateo County line, US-101 on the north, and Cal-85 (Stevens Creek Freeway) and Stevens Creek on the east.Super District #9 - Sunnyvale/Mountain View: This is the "Silicon Valley" Super District and includes the communities of Mountain View (eastern part and shoreline), Sunnyvale, Santa Clara (northern part), Alviso, and San Jose (northern part). Also included in this Super District is the "Golden Triangle" district. Super District #9 is bounded by US-101, Cal-85, Stevens Creek on the western boundary; Homestead Road on the southern boundary; Pierce Street, Civic Center Drive and the SP tracks in Santa Clara City; and Interstate 880 as the eastern boundary.Super District #10 - Cupertino/Saratoga: This Super District is located in south central Santa Clara County and includes the communities of Cupertino, Saratoga, Santa Clara City (southern part), Campbell (western part), San Jose (western part), Monte Sereno, Los Gatos and Redwood Estates. This area is bounded by Stevens Creek and the Santa Cruz Mountains on the west, Homestead Road on the north, Interstate 880/California Route 17 on the east; Union Avenue, Camden Avenue and Hicks Road (San Jose) also on the eastern boundary; and the Santa Clara/Santa Cruz county line on the south.Super District #11 - Central San Jose: This central Santa Clara County Super District is comprised of San Jose (central area), Santa Clara City (downtown area), and Campbell (east of Cal-17). The general boundaries of Super District #11 are Interstate 880/California Route 17 on the west; US-101 on the east; and the Capitol Expressway, Hillsdale Avenue, Camden Avenue, and Union Avenue on the south boundary.Super District #12 - Milpitas/East San Jose: This eastern Santa Clara County Super District includes the City of Milpitas, and the East San Jose communities of Berryessa, Alum Rock, and Evergreen. Boundaries include Interstate 880 and US-101 freeways on the west; San Jose City limits (Evergreen) on the south; and the mountains on the east.Super District #13 - South San Jose: This south-central Santa Clara County Super District includes the southern part of San Jose including the Almaden and Santa Teresa neighborhoods. Super District #13 is surrounded by Super District #10 on the west; Super District #11 on the north; Super District #12 on the northeast; and Super District #14 on the south at Metcalf Road (Coyote).Super District #14 - Gilroy/Morgan Hill: This area of Santa Clara County is also known as "South County" and includes the communities of Gilroy, Morgan Hill, San Martin and the Coyote Valley. Also included in this Super District are Loma Prieta (western boundary of the Super District) and Mount Hamilton in the northeastern, rural portion of Santa Clara County. This area is bounded by Santa Cruz and San Benito Counties on the south, and Merced and Stanislaus Counties on the eastern border.Super District #15 - Livermore/Pleasanton: This is the eastern Alameda County Super District including the Livermore and Amador Valley communities of Livermore, Pleasanton, Dublin, San Ramon Village, and Sunol. This Super District includes all of eastern Alameda County east of Pleasanton Ridge and Dublin Canyon.Super District #16 - Fremont/Union City: The southern Alameda County Super District includes the communities of Fremont, Newark and Union City. The boundaries for this Super District are the Hayward/Union City city limits on the north side; the hills to the immediate east; the Santa Clara/Alameda County line on the south; and the San Francisco Bay on the west.Super District #17 - Hayward/San Leandro: This southern Alameda County Super District includes the communities of Hayward, San Lorenzo, San Leandro, Castro Valley, Cherryland, and Ashland. The northern border is the San Leandro/Oakland city limits.Super District #18 - Oakland/Alameda: This northern Alameda County Super District includes the island city of Alameda, Oakland, and Piedmont. The Oakland neighborhoods of North Oakland and Rockridge are in the adjacent Super District #19. The border between Super Districts #18 and #19 are the Oakland/Emeryville city limits; 52nd and 51st Streets; Broadway; and Old Tunnel Road.Super District #19 - Berkeley/Albany: This northern Alameda County Super District includes all of Emeryville, Berkeley, and Albany, and the Oakland neighborhoods in North Oakland and Rockridge. The Super District is surrounded by the Alameda/Contra Costa County lines; the San Francisco Bay; and the Oakland Super District.Super District #20 - Richmond/El Cerrito: This is the western Contra Costa Super District. It includes the communities of Richmond, El Cerrito, Kensington, Richmond Heights, San Pablo, El Sobrante, Pinole, Hercules, Rodeo, Crockett, and Port Costa. The eastern boundary to Super District #20 is defined as the Carquinez Scenic Drive (east of Port Costa); McEwen Road; California Route 4; Alhambra Valley Road; Briones Road through the Regional Park; Bear Creek Road; and Wildcat Canyon Road to the Alameda/Contra Costa County line.Super District #21 - Concord/Martinez: This is one of three central Contra Costa County Super Districts. Super District #21 includes the communities of Concord, Martinez, Pleasant Hill, Clayton, and Pacheco. This area is bounded by Suisun Bay on the north; Willow Pass and Marsh Creek on the east; Mt Diablo on the southeast; and Cowell Road, Treat Boulevard, Oak Grove Road, Minert Road, Bancroft Road, Oak Park Boulevard, Putnam Boulevard, Geary Road, and Pleasant Hill Road on the south; and Briones Park, Alhambra Valley Road and Cal-4 on the west.Super District #22 - Walnut Creek: This central Contra Costa County Super District includes the communities of Walnut Creek, Lafayette, Moraga and Orinda. The latter three communities are more popularly known as Lamorinda. The border with Super District #23 generally follows the southern city limits of Walnut Creek.Super

  16. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
California Department of Technology (2024). CA Geographic Boundaries [Dataset]. https://data.ca.gov/dataset/ca-geographic-boundaries
Organization logo

CA Geographic Boundaries

Explore at:
52 scholarly articles cite this dataset (View in Google Scholar)
shp(136046), shp(10153125), shp(2597712)Available download formats
Dataset updated
May 3, 2024
Dataset authored and provided by
California Department of Technologyhttp://cdt.ca.gov/
Description

This dataset contains shapefile boundaries for CA State, counties and places from the US Census Bureau's 2023 MAF/TIGER database. Current geography in the 2023 TIGER/Line Shapefiles generally reflects the boundaries of governmental units in effect as of January 1, 2023.

Search
Clear search
Close search
Google apps
Main menu