100+ datasets found
  1. a

    Orange County Zoning

    • ocgis-datahub-ocfl.hub.arcgis.com
    • hub.arcgis.com
    Updated Aug 16, 2018
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    Orange County Government GIS (2018). Orange County Zoning [Dataset]. https://ocgis-datahub-ocfl.hub.arcgis.com/maps/orange-county-zoning
    Explore at:
    Dataset updated
    Aug 16, 2018
    Dataset authored and provided by
    Orange County Government GIS
    License

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

    Area covered
    Description

    This layer depicts the current zoning designation for property located in unincorporated Orange County. Zoning is implemented through Chapter 38 of the Orange County Code (see www.municode.com).

  2. a

    Orange County Facilities Map

    • data-ocpw.opendata.arcgis.com
    • hub.arcgis.com
    Updated Feb 24, 2023
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    OC Public Works (2023). Orange County Facilities Map [Dataset]. https://data-ocpw.opendata.arcgis.com/maps/b9e808fddc8147338f01d9e04de8a68d
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    Dataset updated
    Feb 24, 2023
    Dataset authored and provided by
    OC Public Works
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    Description

    List of facilities by category, OC agency and building site for Orange County government (List location: https://ocgov.com/about-county/county-facilities-map)

  3. K

    Orange County, CA Liquefaction Zones

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Oct 4, 2018
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    Orange County, California (2018). Orange County, CA Liquefaction Zones [Dataset]. https://koordinates.com/layer/98182-orange-county-ca-liquefaction-zones/
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    geodatabase, csv, pdf, kml, geopackage / sqlite, dwg, shapefile, mapinfo tab, mapinfo mifAvailable download formats
    Dataset updated
    Oct 4, 2018
    Dataset authored and provided by
    Orange County, California
    Area covered
    Description

    This layer is a component of Address Grid.

  4. K

    Orange County, North Carolina Zoning

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Jun 14, 2022
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    Orange County, North Carolina (2022). Orange County, North Carolina Zoning [Dataset]. https://koordinates.com/layer/108614-orange-county-north-carolina-zoning/
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    csv, shapefile, mapinfo mif, dwg, mapinfo tab, geopackage / sqlite, pdf, geodatabase, kmlAvailable download formats
    Dataset updated
    Jun 14, 2022
    Dataset authored and provided by
    Orange County, North Carolina
    Area covered
    Description

    Geospatial data about Orange County, North Carolina Zoning. Export to CAD, GIS, PDF, CSV and access via API.

  5. a

    OC City and Unincorporated Areas Boundaries

    • hub.arcgis.com
    • data-ocpw.opendata.arcgis.com
    Updated Aug 27, 2023
    + more versions
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    OC Public Works (2023). OC City and Unincorporated Areas Boundaries [Dataset]. https://hub.arcgis.com/datasets/OCPW::orange-county-boundaries/explore?layer=2&showTable=true
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    Dataset updated
    Aug 27, 2023
    Dataset authored and provided by
    OC Public Works
    Area covered
    Description

    Land boundaries for Orange County cities, and unincorporated areas (based on the five supervisorial districts). Contains additional geodemographic data on population and housing from the US Census 2021 American Community Survey (ACS).

  6. K

    Orange County, CA Parcels

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Oct 4, 2018
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    Orange County, California (2018). Orange County, CA Parcels [Dataset]. https://koordinates.com/layer/98184-orange-county-ca-parcels/
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    dwg, mapinfo mif, csv, shapefile, kml, pdf, geodatabase, mapinfo tab, geopackage / sqliteAvailable download formats
    Dataset updated
    Oct 4, 2018
    Dataset authored and provided by
    Orange County, California
    Area covered
    Description

    Vector polygon map data covering property parcels from Orange County, California containing 699,877 features.

    Parcel map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

    Parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

    Available for viewing and sharing in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

  7. a

    Orange County Zoning

    • hub.arcgis.com
    Updated Aug 16, 2018
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    Orange County Government GIS (2018). Orange County Zoning [Dataset]. https://hub.arcgis.com/datasets/06178e45cbc448e58aaef546824e572b
    Explore at:
    Dataset updated
    Aug 16, 2018
    Dataset authored and provided by
    Orange County Government GIS
    License

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

    Area covered
    Description

    This layer depicts the current zoning designation for property located in unincorporated Orange County. Zoning is implemented through Chapter 38 of the Orange County Code (see www.municode.com).

  8. s

    OC Stormwater Resource Plan data map

    • southocirwm.org
    • northocirwm.org
    • +1more
    Updated Mar 27, 2017
    + more versions
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    OC Public Works (2017). OC Stormwater Resource Plan data map [Dataset]. https://www.southocirwm.org/maps/de1775d02b914c069705e73a8985ea19
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    Dataset updated
    Mar 27, 2017
    Dataset authored and provided by
    OC Public Works
    Area covered
    Description

    The Orange County Stormwater Resource Plan (OC SWRP) is a functionally equivalent document that has been prepared by OC Environmental Resources per the requirements of SB 985. Four primary significant planning efforts referenced throughout this OC SWRP are used for functional equivalency to meet the SWRP guidelines. These include (1) the 2013/2014 Reports of Waste Discharge (ROWDs), (2) Integrated Regional Watershed Management Plans for North, Central and South Orange County, (3) Watershed Infiltration and Hydromodification Management Plan (WIHMP) mapping tools, and (4) the South Orange County Water Quality Improvement Plan (WQIP). In addition to meeting the SWRP guidelines, these four primary documents also provide the basis for project identification and prioritization in this OC SWRP (Section 1). Other documents produced by the Plan Agencies are referenced in this OC SWRP to meet specific requirements of Appendix A of the OC SWRP as needed. This webmap contains reference spatial data incorporated into the OC SWRP.

  9. K

    Orange County, CA School Districts

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Oct 4, 2018
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    Orange County, California (2018). Orange County, CA School Districts [Dataset]. https://koordinates.com/layer/98185-orange-county-ca-school-districts/
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    geodatabase, pdf, kml, csv, dwg, mapinfo tab, mapinfo mif, geopackage / sqlite, shapefileAvailable download formats
    Dataset updated
    Oct 4, 2018
    Dataset authored and provided by
    Orange County, California
    Area covered
    Description

    This layer is a component of Community Analysis Areas LMS.

    Orange County School Districts

  10. n

    Vegetation Classification for the Nature Reserve of Orange County

    • data.niaid.nih.gov
    • datadryad.org
    zip
    Updated Jun 16, 2016
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    AECOM; Inc. Aerial Information System; California Native Plant Society (2016). Vegetation Classification for the Nature Reserve of Orange County [Dataset]. http://doi.org/10.7280/D1F30C
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    zipAvailable download formats
    Dataset updated
    Jun 16, 2016
    Authors
    AECOM; Inc. Aerial Information System; California Native Plant Society
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Area covered
    Orange County
    Description

    The ultimate goal of this project is to create an updated fine‐scale vegetation map for about 58,000 acres of Orange County, consisting of the 37,000‐acre Orange County Central and Coastal Subregions Natural Community Conservation Plan (NCCP)/Habitat Conservation Plan (HCP) Habitat Reserve System; approximately 9,500 acres of associated NCCP/HCP Special Linkages, Existing Use Areas, and Non‐Reserve Open Space; and approximately 11,000 acres of adjoining conserved open space (study area). The project consisted of three phases.Phase 1: To update vegetation mapping, the Natural Reserve of Orange County (NROC) proposes to use Manual of California Vegetation (MCV) methods (2009), which will be implemented in two stages: Stage 1 – Development of a vegetation classification system for the Central and Coastal Subregions of Orange County that is consistent with the MCV. Stage 2 – Application of the vegetation classification system to create a vegetation map through photointerpretation of available aerial imagery and ground reconnaissance. The MCV methods were developed by the California Department of Fish and Game (CDFG) Vegetation Classification and Mapping Program in collaboration with the California Native Plant Society (CNPS). This approach relies on the collection of quantifiable environmental data to identify and classify biological associations that repeat across the landscape. For areas where documentation is lacking to effectively define all of the vegetation patterns found in California, CDFG and CNPS developed the Vegetation Rapid Assessment Protocol. This protocol guides data collection and analysis to refine vegetation classifications that are consistent with CDFG and MCV standards. Based on an earlier classification by Gray and Bramlet (1992), Orange County is expected to have vegetation types not yet described in the MCV. Using the MCV approach, Rapid Assessment (RA) data was collected throughout the study area and analyzed to characterize these new vegetation types or show concurrence with existing MCV types.Phase 2: Aerial Information Systems, Inc. (AIS) was contracted by the Nature Reserve of Orange County (NROC) to create an updated fine-scale regional vegetation map consistent with the California Department of Fish & Wildlife (CDFW) classification methodology and mapping standards. The mapping area covers approximately 86,000 acres of open space and adjacent urban and agricultural lands including habitat located in both the Central and Coastal Subregions of Orange County. The map was prepared over a baseline digital image created in 2012 by the US Department of Agriculture – Farm Service Agency’s National Agricultural Imagery Program (NAIP). Vegetation units were mapped using the National Vegetation Classification System (NVCS) to the Alliance level as depicted in the second edition of the Manual of California Vegetation (MCV2). One of the most important data layers used to guide the conservation planning process for the 1996 Orange County Central & Coastal Subregion Natural Community Conservation Plan/Habitat Conservation Plan (NCCP/HCP) was the regional vegetation map created in the early 1990s by Dave Bramlett & Jones & Stokes Associates, Inc. (Jones & Stokes Associates, Inc. 1993). Up until now, this same map continues to be used to direct monitoring and management efforts in the NCCP/HCP Habitat Reserve. An updated map is necessary in order to address changes in vegetation makeup due to widespread and multiple burns in the mapping area, urban expansion, and broadly occurring vegetation succession that has occurred over the past 20 years since the original map was created. This update is further necessary in order to conform to the current NVCS, which is supported by the extensive acquisition of ground based field data and subsequent analysis that has ensued in those same 20 years over the region and adjacent similar habitats in the coastal and mountain foothills of Southern California. Vegetative and cartographic comparisons between the newly created 2012 image-based map and the original 1990s era vegetation map are documented in a separate report produced by the California Native Plant Society at the end of 2014.Phase 3: The California Native Plant Society (CNPS) Vegetation Program conducted an independent accuracy assessment of a new vegetation map completed for the natural lands of Orange County in collaboration with Aerial Information Systems (AIS), the California Department of Fish and Wildlife (CDFW), and the Nature Reserve of Orange County (NROC). This report provides a summary of the accuracy assessment allocation, field sampling methods, and analysis results; it also provides an in-depth crosswalk and comparison between the new map and the existing 1992 vegetation map. California state standards (CDFW 2007) require that a vegetation map should achieve an overall accuracy of 80%. After final scoring, the new Orange County vegetation map received an overall user’s accuracy of 87%. The new fine-scale vegetation map and supporting field survey data provide baseline information for long-term land management and conservation within the remaining natural lands of Orange County.Data made available in the OC Data Portal in partnership with UCI Libraries. Methods The project consisted of three phases, each with its own methodology.Phase 1: To update vegetation mapping, the Natural Reserve of Orange County (NROC) usedManual of California Vegetation (MCV) methods (2009), which will be implemented in two stages: Stage 1 – Development of a vegetation classification system for the Central and Coastal Subregions of Orange County that is consistent with the MCV. Stage 2 – Application of the vegetation classification system to create a vegetation map through photointerpretation of available aerial imagery and ground reconnaissance.Phase 2: Aerial Information Systems, Inc. (AIS) was contracted by the Nature Reserve of Orange County (NROC) to create an updated fine-scale regional vegetation map consistent with the California Department of Fish & Wildlife (CDFW) classification methodology and mapping standards.Phase 3: The California Native Plant Society (CNPS) Vegetation Program conducted an independent accuracy assessment of a new vegetation map completed for the natural lands of Orange County in collaboration with Aerial Information Systems (AIS), the California Department of Fish and Wildlife (CDFW), and the Nature Reserve of Orange County (NROC).For more detailed methodology information please consult the README.txt file included with dataset.

  11. d

    DIGITAL FLOOD INSURANCE RATE MAP DATABASE, ORANGE COUNTY, CALIFORNIA, USA.

    • datadiscoverystudio.org
    Updated Nov 14, 2017
    + more versions
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    (2017). DIGITAL FLOOD INSURANCE RATE MAP DATABASE, ORANGE COUNTY, CALIFORNIA, USA. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/3b89049f6565439a97569f0df650afdb/html
    Explore at:
    Dataset updated
    Nov 14, 2017
    Area covered
    United States
    Description

    description: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12000.; abstract: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12000.

  12. d

    DIGITAL FLOOD INSURANCE RATE MAP DATABASE, ORANGE COUNTY, NEW YORK.

    • datadiscoverystudio.org
    Updated Nov 14, 2017
    + more versions
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    (2017). DIGITAL FLOOD INSURANCE RATE MAP DATABASE, ORANGE COUNTY, NEW YORK. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/1cc469ab8a8d42ac9d70ce554dc21e31/html
    Explore at:
    Dataset updated
    Nov 14, 2017
    Description

    description: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.; abstract: The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk classifications used are the 1-percent-annual-chance flood event, the 0.2-percent-annual-chance flood event, and areas of minimal flood risk. The DFIRM Database is derived from Flood Insurance Studies (FISs), previously published Flood Insurance Rate Maps (FIRMs), flood hazard analyses performed in support of the FISs and FIRMs, and new mapping data, where available. The FISs and FIRMs are published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to earth's surface using the UTM projection and coordinate system. The specifications for the horizontal control of DFIRM data files are consistent with those required for mapping at a scale of 1:12,000.

  13. s

    Fire Hazard Severity Zones, Orange County, California, 2007

    • searchworks.stanford.edu
    zip
    Updated May 3, 2021
    + more versions
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    (2021). Fire Hazard Severity Zones, Orange County, California, 2007 [Dataset]. https://searchworks.stanford.edu/view/qn729yz0686
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    zipAvailable download formats
    Dataset updated
    May 3, 2021
    Area covered
    Orange County, California
    Description

    This polygon shapefile represents fire hazard severity zones in Orange County, California.

  14. TIGER/Line Shapefile, 2022, County, Orange County, CA, Topological Faces...

    • catalog.data.gov
    Updated Jan 28, 2024
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Point of Contact) (2024). TIGER/Line Shapefile, 2022, County, Orange County, CA, Topological Faces (Polygons With All Geocodes) [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2022-county-orange-county-ca-topological-faces-polygons-with-all-geocodes
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    Dataset updated
    Jan 28, 2024
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Orange County, California
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

  15. l

    LACoFD Map Index (Feature Layer)

    • data.lacounty.gov
    • geohub.lacity.org
    • +3more
    Updated Jun 5, 2020
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    County of Los Angeles (2020). LACoFD Map Index (Feature Layer) [Dataset]. https://data.lacounty.gov/maps/lacofd-map-index-feature-layer
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    Dataset updated
    Jun 5, 2020
    Dataset authored and provided by
    County of Los Angeles
    Area covered
    Description

    This map page grid was designed and implemented by the Los Angeles County Fire Department, Information Management Division, and Geographic Information Systems Section. Wholly based on the United States National Grid (USNG), it aims to be the Los Angeles County regional grid because of its ease of use and extensive coverage.

    Each block measures 2,000 meters by 2,000 meters and are comprised of four 1,000 meter/1 kilometer USNG blocks. i.e. 11SLT4771, 11SLT4871, 11SLT4770 and 11SLT4870; left to right and up to down. For ease of use each 2,000 meter block is designated by a page number from 1 to 9,750, and it is inferred that the 1,000 meter divisions of each page are designated A, B, C or D; left to right and up to down. Therefore, each 1,000 meter block within this regional grid has a unique descriptor of 4 numerals and 1 letter.

    The region covered by the grid includes Los Angeles County completely and 2 of the islands in the Channel Islands archipelago that fall into the Los Angeles County jurisdiction. It also covers close to 100% of Orange County, 50% of Ventura County, and the Los Angeles County adjacent portions of Kern County, San Bernardino County and Riverside County, and a portion of Marine Corps Base Camp Pendleton in Northwest San Diego County.

    PAGE = Grid Number

    Reference Date: 2016

    Contact Information:

    Los Angeles County Fire Department Geographic Information Systems Section LACoFDGIS@fire.lacounty.gov

  16. C

    Orange County MPA Maps

    • data.cnra.ca.gov
    pdf, tiff
    Updated Apr 24, 2019
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    Ocean Education (2019). Orange County MPA Maps [Dataset]. https://data.cnra.ca.gov/dataset/orange-county-mpa-maps
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    tiff(5295630), tiff(5544014), tiff(5601626), tiff(4364744), pdf(2818931), tiff(32224932)Available download formats
    Dataset updated
    Apr 24, 2019
    Dataset authored and provided by
    Ocean Education
    Area covered
    Orange County
    Description

    A collection of maps of Orange County MPAs to target various audiences for improving understanding of the location, purpose and management of California’s marine protected areas.

  17. TIGER/Line Shapefile, 2023, County, Orange County, CA, Topological Faces...

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Dec 15, 2023
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    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geospatial Products Branch (Point of Contact) (2023). TIGER/Line Shapefile, 2023, County, Orange County, CA, Topological Faces (Polygons With All Geocodes) [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2023-county-orange-county-ca-topological-faces-polygons-with-all-geocodes
    Explore at:
    Dataset updated
    Dec 15, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Orange County, California
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Face refers to the areal (polygon) topological primitives that make up MTDB. A face is bounded by one or more edges; its boundary includes only the edges that separate it from other faces, not any interior edges contained within the area of the face. The Topological Faces Shapefile contains the attributes of each topological primitive face. Each face has a unique topological face identifier (TFID) value. Each face in the shapefile includes the key geographic area codes for all geographic areas for which the Census Bureau tabulates data for both the 2020 Census and the annual estimates and surveys. The geometries of each of these geographic areas can then be built by dissolving the face geometries on the appropriate key geographic area codes in the Topological Faces Shapefile.

  18. d

    Offshore Oil Leases

    • catalog.data.gov
    • gis.data.cnra.ca.gov
    • +2more
    Updated Mar 30, 2024
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    California State Lands Commission (2024). Offshore Oil Leases [Dataset]. https://catalog.data.gov/dataset/offshore-oil-leases-fe3da
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    Dataset updated
    Mar 30, 2024
    Dataset provided by
    California State Lands Commission
    Description

    California State Lands Commission Offshore Oil Leases in the vicinity of Santa Barbara, Ventura, and Orange County.The polygons in this layer show the position of Offshore Oil Leases as documented by former State Lands Senior Boundary Determination Officer, Cris N. Perez and as reviewed and updated by GIS and Boundary staff.Background: This layer represents active offshore oil and gas agreements in California waters, which are what remain of the more than 60 originally issued. These leases were issued prior to the catastrophic 1969 oil spill from Platform A in federal waters off Santa Barbara County, and some predate the formation of the Commission. Between 2010 and 2014, the bulk of the approximately $300 million generated annually for the state's General Fund from oil and gas agreements was from these offshore leases.In 1921, the Legislature created the first tidelands oil and gas leasing program. Between 1921 and 1929, approximately 100 permits and leases were issued and over 850 wells were drilled in Santa Barbara and Ventura Counties. In 1929, the Legislature prohibited any new leases or permits. In 1933, however, the prohibition was partially lifted in response to an alleged theft of tidelands oil in Huntington Beach. It wasn't until 1938, and again in 1955, that the Legislature would allow new offshore oil and gas leasing. Except for limited circumstances, the Legislature has consistently placed limits on the areas that the Commission may offer for lease and in 1994, placed the entirety of California's coast off-limits to new oil and gas leases. Layer Creation Process:In 1997 Cris N. Perez, Senior Boundary Determination Officer of the Southern California Section of the State Lands Division, prepared a report on the Commission’s Offshore Oil Leases to:A. Show the position of Offshore Oil Leases. B. Produce a hard copy of 1927 NAD Coordinates for each lease. C. Discuss any problems evident after plotting the leases.Below are some of the details Cris included in the report:I have plotted the leases that were supplied to me by the Long Beach Office and computed 1927 NAD California Coordinates for each one. Where the Mean High Tide Line (MHTL) was called for and not described in the deed, I have plotted the California State Lands Commission CB Map Coordinates, from the actual field surveys of the Mean High Water Line and referenced them wherever used. Where the MHTL was called for and not described in the deed and no California State Lands Coordinates were available, I digitized the maps entitled, “Map of the Offshore Ownership Boundary of the State of California Drawn pursuant to the Supplemental Decree of the U.S. Supreme Court in the U.S. V. California, 382 U.S. 448 (1966), Scale 1:10000 Sheets 1-161.” The shore line depicted on these maps is the Mean Lower Low Water (MLLW) Line as shown on the Hydrographic or Topographic Sheets for the coastline. If a better fit is needed, a field survey to position this line will need to be done.The coordinates listed in Cris’ report were retrieved through Optical Character Recognition (OCR) and used to produce GIS polygons using Esri ArcGIS software. Coordinates were checked after the OCR process when producing the polygons in ArcMap to ensure accuracy. Original Coordinate systems (NAD 1927 California State Plane Zones 5 and 6) were used initially, with each zone being reprojected to NAD 83 Teale Albers Meters and merged after the review process.While Cris’ expertise and documentation were relied upon to produce this GIS Layer, certain polygons were reviewed further for any potential updates since Cris’ document and for any unusual geometry. Boundary Determination Officers addressed these issues and plotted leases currently listed as active, but not originally in Cris’ report. On December 24, 2014, the SLA boundary offshore of California was fixed (permanently immobilized) by a decree issued by the U.S. Supreme Court United States v. California, 135 S. Ct. 563 (2014). Offshore leases were clipped so as not to exceed the limits of this fixed boundary. Lease Notes:PRC 1482The “lease area” for this lease is based on the Compensatory Royalty Agreement dated 1-21-1955 as found on the CSLC Insider. The document spells out the distinction between “leased lands” and “state lands”. The leased lands are between two private companies and the agreement only makes a claim to the State’s interest as those lands as identified and surveyed per the map Tract 893, Bk 27 Pg 24. The map shows the State’s interest as being confined to the meanders of three sloughs, one of which is severed from the bay (Anaheim) by a Tideland sale. It should be noted that the actual sovereign tide and or submerged lands for this area is all those historic tide and submerged lands minus and valid tide land sales patents. The three parcels identified were also compared to what the Orange County GIS land records system has for their parcels. Shapefiles were downloaded from that site as well as two centerline monuments for 2 roads covered by the Tract 893. It corresponded well, so their GIS linework was held and clipped or extended to make a parcel.MJF Boundary Determination Officer 12/19/16PRC 3455The “lease area” for this lease is based on the Tract No. 2 Agreement, Long Beach Unit, Wilmington Oil Field, CA dated 4/01/1965 and found on the CSLC insider (also recorded March 12, 1965 in Book M 1799, Page 801).Unit Operating Agreement, Long Beach Unit recorded March 12, 1965 in Book M 1799 page 599.“City’s Portion of the Offshore Area” shall mean the undeveloped portion of the Long Beach tidelands as defined in Section 1(f) of Chapter 138, and includes Tract No. 1”“State’s Portion of the Offshore Area” shall mean that portion of the Alamitos Beach Park Lands, as defined in Chapter 138, included within the Unit Area and includes Tract No. 2.”“Alamitos Beach Park Lands” means those tidelands and submerged lands, whether filled or unfilled, described in that certain Judgment After Remittitur in The People of the State of California v. City of Long Beach, Case No. 683824 in the Superior Court of the State of California for the County of Los Angeles, dated May 8, 1962, and entered on May 15, 1962 in Judgment Book 4481, at Page 76, of the Official Records of the above entitled court”*The description for Tract 2 has an EXCEPTING (statement) “therefrom that portion lying Southerly of the Southerly line of the Boundary of Subsidence Area, as shown on Long Beach Harbor Department {LBHD} Drawing No. D-98. This map could not be found in records nor via a PRA request to the LBHD directly. Some maps were located that show the extents of subsidence in this area being approximately 700 feet waterward of the MHTL as determined by SCC 683824. Although the “EXCEPTING” statement appears to exclude most of what would seem like the offshore area (out to 3 nautical miles from the MHTL which is different than the actual CA offshore boundary measured from MLLW) the 1964, ch 138 grant (pg25) seems to reference the lands lying seaward of that MHTL and ”westerly of the easterly boundary of the undeveloped portion of the Long Beach tidelands, the latter of which is the same boundary (NW) of tract 2. This appears to then indicate that the “EXCEPTING” area is not part of the Lands Granted to City of Long Beach and appears to indicate that this portion might be then the “State’s Portion of the Offshore Area” as referenced in the Grant and the Unit Operating Agreement. Section “f” in the CSLC insider document (pg 9) defines the Contract Lands: means Tract No. 2 as described in Exhibit “A” to the Unit Agreement, and as shown on Exhibit “B” to the Unit Agreement, together with all other lands within the State’s Portion of the Offshore Area.Linework has been plotted in accordance with the methods used to produce this layer, with record lines rotated to those as listed in the descriptions. The main boundaries being the MHTL(north/northeast) that appears to be fixed for most of the area (projected to the city boundary on the east/southeast); 3 nautical miles from said MHTL on the south/southwest; and the prolongation of the NWly line of Block 50 of Alamitos Bay Tract.MJF Boundary Determination Officer 12-27-16PRC 4736The “lease area” for this lease is based on the Oil and Gas Lease and Agreement as found on the CSLC insider and recorded August 17, 1973 in BK 10855 PG 432 Official Records, Orange County. The State’s Mineral Interests are confined to Parcels “B-1” and “B-2” and are referred to as “State Mineral Lands” comprising 70.00 Acres. The lessee each has a right to certain uses including but not limited to usage of utility corridors, 110 foot radius parcels surrounding well-sites and roads. The State also has access to those same roads per this agreement/lease. Those uses are allowed in what are termed “State Lands”-Parcel E and “Leased Lands” which are defined as the “South Bolsa Lease Area”-Parcel C (2 parcels) and “North Bolsa Lease Area”-Parcel D. The “State Lands”-Parcel E are actually 3 parcels, 2 of which are within road right-of-ways. MJF Boundary Determination Officer 12-28-16

  19. K

    Orange County, Florida Regional Parks and Recreational areas

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 10, 2018
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    Orange County, Florida (2018). Orange County, Florida Regional Parks and Recreational areas [Dataset]. https://koordinates.com/layer/96557-orange-county-florida-regional-parks-and-recreational-areas/
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    kml, mapinfo mif, shapefile, geopackage / sqlite, dwg, geodatabase, mapinfo tab, csv, pdfAvailable download formats
    Dataset updated
    Sep 10, 2018
    Dataset authored and provided by
    Orange County, Florida
    Area covered
    Description

    This layer is sourced from arcgisserver10.cfgis.org.

  20. a

    Orange County Enterprise Zones

    • hub.arcgis.com
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +1more
    Updated Aug 16, 2018
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    Orange County Government GIS (2018). Orange County Enterprise Zones [Dataset]. https://hub.arcgis.com/maps/ocfl::orange-county-enterprise-zones
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    Dataset updated
    Aug 16, 2018
    Dataset authored and provided by
    Orange County Government GIS
    License

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

    Area covered
    Description

    The Orange County Enterprise Zone Program facilitates the revitalization of economically distressed communities by providing tax incentives and rebates to businesses that locate and invest in these areas. This new investment creates new jobs and enhances the social and economic well-being of these neighborhoods

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Orange County Government GIS (2018). Orange County Zoning [Dataset]. https://ocgis-datahub-ocfl.hub.arcgis.com/maps/orange-county-zoning

Orange County Zoning

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12 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Aug 16, 2018
Dataset authored and provided by
Orange County Government GIS
License

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

Area covered
Description

This layer depicts the current zoning designation for property located in unincorporated Orange County. Zoning is implemented through Chapter 38 of the Orange County Code (see www.municode.com).

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