100+ datasets found
  1. d

    Land Administration Office Jurisdiction Map (TWD97 Latitude and Longitude)

    • data.gov.tw
    shp
    Updated Jun 1, 2025
    + more versions
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    Ministry of the Interior Land Surveying and Mapping Center (2025). Land Administration Office Jurisdiction Map (TWD97 Latitude and Longitude) [Dataset]. https://data.gov.tw/en/datasets/13045
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    shpAvailable download formats
    Dataset updated
    Jun 1, 2025
    Dataset authored and provided by
    Ministry of the Interior Land Surveying and Mapping Center
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    The geographical data within the jurisdiction of the Taiwan Land Administration Office uses the TWD97 coordinate system.

  2. a

    Jurisdiction Web Map

    • hub.arcgis.com
    Updated Jul 14, 2017
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    South Coast AQMD (2017). Jurisdiction Web Map [Dataset]. https://hub.arcgis.com/maps/84db0eaf0e76428ebeb42b4767d286b8
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    Dataset updated
    Jul 14, 2017
    Dataset authored and provided by
    South Coast AQMD
    License

    http://www.aqmd.gov/privacy/terms-of-usehttp://www.aqmd.gov/privacy/terms-of-use

    Area covered
    Description

    The SCAQMD jurisdiction boundary.

  3. n

    Jurisdictional Unit (Public) - Dataset - CKAN

    • nationaldataplatform.org
    Updated Feb 28, 2024
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    (2024). Jurisdictional Unit (Public) - Dataset - CKAN [Dataset]. https://nationaldataplatform.org/catalog/dataset/jurisdictional-unit-public
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    Dataset updated
    Feb 28, 2024
    Description

    Jurisdictional Unit, 2022-05-21. For use with WFDSS, IFTDSS, IRWIN, and InFORM.This is a feature service which provides Identify and Copy Feature capabilities. If fast-drawing at coarse zoom levels is a requirement, consider using the tile (map) service layer located at https://nifc.maps.arcgis.com/home/item.html?id=3b2c5daad00742cd9f9b676c09d03d13.OverviewThe Jurisdictional Agencies dataset is developed as a national land management geospatial layer, focused on representing wildland fire jurisdictional responsibility, for interagency wildland fire applications, including WFDSS (Wildland Fire Decision Support System), IFTDSS (Interagency Fuels Treatment Decision Support System), IRWIN (Interagency Reporting of Wildland Fire Information), and InFORM (Interagency Fire Occurrence Reporting Modules). It is intended to provide federal wildland fire jurisdictional boundaries on a national scale. The agency and unit names are an indication of the primary manager name and unit name, respectively, recognizing that:There may be multiple owner names.Jurisdiction may be held jointly by agencies at different levels of government (ie State and Local), especially on private lands, Some owner names may be blocked for security reasons.Some jurisdictions may not allow the distribution of owner names. Private ownerships are shown in this layer with JurisdictionalUnitIdentifier=null,JurisdictionalUnitAgency=null, JurisdictionalUnitKind=null, and LandownerKind="Private", LandownerCategory="Private". All land inside the US country boundary is covered by a polygon.Jurisdiction for privately owned land varies widely depending on state, county, or local laws and ordinances, fire workload, and other factors, and is not available in a national dataset in most cases.For publicly held lands the agency name is the surface managing agency, such as Bureau of Land Management, United States Forest Service, etc. The unit name refers to the descriptive name of the polygon (i.e. Northern California District, Boise National Forest, etc.).These data are used to automatically populate fields on the WFDSS Incident Information page.This data layer implements the NWCG Jurisdictional Unit Polygon Geospatial Data Layer Standard.Relevant NWCG Definitions and StandardsUnit2. A generic term that represents an organizational entity that only has meaning when it is contextualized by a descriptor, e.g. jurisdictional.Definition Extension: When referring to an organizational entity, a unit refers to the smallest area or lowest level. Higher levels of an organization (region, agency, department, etc) can be derived from a unit based on organization hierarchy.Unit, JurisdictionalThe governmental entity having overall land and resource management responsibility for a specific geographical area as provided by law.Definition Extension: 1) Ultimately responsible for the fire report to account for statistical fire occurrence; 2) Responsible for setting fire management objectives; 3) Jurisdiction cannot be re-assigned by agreement; 4) The nature and extent of the incident determines jurisdiction (for example, Wildfire vs. All Hazard); 5) Responsible for signing a Delegation of Authority to the Incident Commander.See also: Unit, Protecting; LandownerUnit IdentifierThis data standard specifies the standard format and rules for Unit Identifier, a code used within the wildland fire community to uniquely identify a particular government organizational unit.Landowner Kind & CategoryThis data standard provides a two-tier classification (kind and category) of landownership. Attribute Fields JurisdictionalAgencyKind Describes the type of unit Jurisdiction using the NWCG Landowner Kind data standard. There are two valid values: Federal, and Other. A value may not be populated for all polygons.JurisdictionalAgencyCategoryDescribes the type of unit Jurisdiction using the NWCG Landowner Category data standard. Valid values include: ANCSA, BIA, BLM, BOR, DOD, DOE, NPS, USFS, USFWS, Foreign, Tribal, City, County, OtherLoc (other local, not in the standard), State. A value may not be populated for all polygons.JurisdictionalUnitNameThe name of the Jurisdictional Unit. Where an NWCG Unit ID exists for a polygon, this is the name used in the Name field from the NWCG Unit ID database. Where no NWCG Unit ID exists, this is the “Unit Name” or other specific, descriptive unit name field from the source dataset. A value is populated for all polygons.JurisdictionalUnitIDWhere it could be determined, this is the NWCG Standard Unit Identifier (Unit ID). Where it is unknown, the value is ‘Null’. Null Unit IDs can occur because a unit may not have a Unit ID, or because one could not be reliably determined from the source data. Not every land ownership has an NWCG Unit ID. Unit ID assignment rules are available from the Unit ID standard, linked above.LandownerKindThe landowner category value associated with the polygon. May be inferred from jurisdictional agency, or by lack of a jurisdictional agency. A value is populated for all polygons. There are three valid values: Federal, Private, or Other.LandownerCategoryThe landowner kind value associated with the polygon. May be inferred from jurisdictional agency, or by lack of a jurisdictional agency. A value is populated for all polygons. Valid values include: ANCSA, BIA, BLM, BOR, DOD, DOE, NPS, USFS, USFWS, Foreign, Tribal, City, County, OtherLoc (other local, not in the standard), State, Private.DataSourceThe database from which the polygon originated. Be as specific as possible, identify the geodatabase name and feature class in which the polygon originated.SecondaryDataSourceIf the Data Source is an aggregation from other sources, use this field to specify the source that supplied data to the aggregation. For example, if Data Source is "PAD-US 2.1", then for a USDA Forest Service polygon, the Secondary Data Source would be "USDA FS Automated Lands Program (ALP)". For a BLM polygon in the same dataset, Secondary Source would be "Surface Management Agency (SMA)."SourceUniqueIDIdentifier (GUID or ObjectID) in the data source. Used to trace the polygon back to its authoritative source.MapMethod:Controlled vocabulary to define how the geospatial feature was derived. Map method may help define data quality. MapMethod will be Mixed Method by default for this layer as the data are from mixed sources. Valid Values include: GPS-Driven; GPS-Flight; GPS-Walked; GPS-Walked/Driven; GPS-Unknown Travel Method; Hand Sketch; Digitized-Image; DigitizedTopo; Digitized-Other; Image Interpretation; Infrared Image; Modeled; Mixed Methods; Remote Sensing Derived; Survey/GCDB/Cadastral; Vector; Phone/Tablet; OtherDateCurrentThe last edit, update, of this GIS record. Date should follow the assigned NWCG Date Time data standard, using 24 hour clock, YYYY-MM-DDhh.mm.ssZ, ISO8601 Standard.CommentsAdditional information describing the feature. GeometryIDPrimary key for linking geospatial objects with other database systems. Required for every feature. This field may be renamed for each standard to fit the feature.JurisdictionalUnitID_sansUSNWCG Unit ID with the "US" characters removed from the beginning. Provided for backwards compatibility.JoinMethodAdditional information on how the polygon was matched information in the NWCG Unit ID database.LocalNameLocalName for the polygon provided from PADUS or other source.LegendJurisdictionalAgencyJurisdictional Agency but smaller landholding agencies, or agencies of indeterminate status are grouped for more intuitive use in a map legend or summary table.LegendLandownerAgencyLandowner Agency but smaller landholding agencies, or agencies of indeterminate status are grouped for more intuitive use in a map legend or summary table.DataSourceYearYear that the source data for the polygon were acquired.Data InputThis dataset is based on an aggregation of 4 spatial data sources: Protected Areas Database US (PAD-US 2.1), data from Bureau of Indian Affairs regional offices, the BLM Alaska Fire Service/State of Alaska, and Census Block-Group Geometry. NWCG Unit ID and Agency Kind/Category data are tabular and sourced from UnitIDActive.txt, in the WFMI Unit ID application (https://wfmi.nifc.gov/unit_id/Publish.html). Areas of with unknown Landowner Kind/Category and Jurisdictional Agency Kind/Category are assigned LandownerKind and LandownerCategory values of "Private" by use of the non-water polygons from the Census Block-Group geometry.PAD-US 2.1:This dataset is based in large part on the USGS Protected Areas Database of the United States - PAD-US 2.`. PAD-US is a compilation of authoritative protected areas data between agencies and organizations that ultimately results in a comprehensive and accurate inventory of protected areas for the United States to meet a variety of needs (e.g. conservation, recreation, public health, transportation, energy siting, ecological, or watershed assessments and planning). Extensive documentation on PAD-US processes and data sources is available.How these data were aggregated:Boundaries, and their descriptors, available in spatial databases (i.e. shapefiles or geodatabase feature classes) from land management agencies are the desired and primary data sources in PAD-US. If these authoritative sources are unavailable, or the agency recommends another source, data may be incorporated by other aggregators such as non-governmental organizations. Data sources are tracked for each record in the PAD-US geodatabase (see below).BIA and Tribal Data:BIA and Tribal land management data are not available in PAD-US. As such, data were aggregated from BIA regional offices. These data date from 2012 and were substantially updated in 2022. Indian Trust Land affiliated with Tribes, Reservations, or BIA Agencies: These data are not considered the system of record and are not intended to be used as such. The Bureau of Indian Affairs (BIA), Branch of Wildland Fire Management (BWFM) is not the originator of these data. The

  4. d

    Water Resources Authority Jurisdiction Map

    • data.gov.tw
    csv
    + more versions
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    Water Resources Agency,Ministry of Economic Affairs, Water Resources Authority Jurisdiction Map [Dataset]. https://data.gov.tw/en/datasets/25779
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    csvAvailable download formats
    Dataset authored and provided by
    Water Resources Agency,Ministry of Economic Affairs
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    This dataset is linked to the KML (Keyhole Markup Language) file list. The format is a markup language based on the XML (eXtensible Markup Language) syntax standard, which uses markup structure and contains nested elements and attributes. Developed and maintained by Keyhole, a company under Google, it is used to express geographical annotations. Documents written in KML language are KML files, which use the XML file format and are used in Google Earth-related software (Google Earth, Google Map, Google Maps for mobile) to display geographical data (including points, lines, polygons, polyhedra, and models). Many GIS-related systems now also use this format for exchanging geographical data, and the fields and encoding of this data are all in UTF-8. For more details, please visit the Geographical Information Center (http://gic.wra.gov.tw/).

  5. d

    Political Jurisdiction Area.

    • datadiscoverystudio.org
    • cloud.csiss.gmu.edu
    • +3more
    csv, geojson, gml +7
    Updated Jun 25, 2014
    + more versions
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    (2014). Political Jurisdiction Area. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/b4ba8fff70fa4d2d8bb728919c6921a7/html
    Explore at:
    xml, zip, kml, json, gml, shp, html, xls, csv, geojsonAvailable download formats
    Dataset updated
    Jun 25, 2014
    Description

    description: The National Flood Hazard Layer (NFHL) data incorporates all Digital Flood Insurance Rate Map(DFIRM) databases published by FEMA, and any Letters Of Map Revision (LOMRs) that have been issued against those databases since their publication date. The DFIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper Flood Insurance Rate Maps(FIRMs). 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 NFHL data are 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 specifications for the horizontal control of DFIRM data are consistent with those required for mapping at a scale of 1:12,000. The NFHL data contain layers in the Standard DFIRM datasets except for S_Label_Pt and S_Label_Ld. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all DFIRMs and corresponding LOMRs available on the publication date of the data set.; abstract: The National Flood Hazard Layer (NFHL) data incorporates all Digital Flood Insurance Rate Map(DFIRM) databases published by FEMA, and any Letters Of Map Revision (LOMRs) that have been issued against those databases since their publication date. The DFIRM Database is the digital, geospatial version of the flood hazard information shown on the published paper Flood Insurance Rate Maps(FIRMs). 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 NFHL data are 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 specifications for the horizontal control of DFIRM data are consistent with those required for mapping at a scale of 1:12,000. The NFHL data contain layers in the Standard DFIRM datasets except for S_Label_Pt and S_Label_Ld. The NFHL is available as State or US Territory data sets. Each State or Territory data set consists of all DFIRMs and corresponding LOMRs available on the publication date of the data set.

  6. t

    Jurisdictional Boundaries

    • gisdata.tucsonaz.gov
    Updated Sep 17, 2021
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    Jurisdictional Boundaries [Dataset]. https://gisdata.tucsonaz.gov/datasets/jurisdictional-boundaries
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    Dataset updated
    Sep 17, 2021
    Dataset authored and provided by
    City of Tucson
    Area covered
    Description

    This dataset maps out the boundaries for municipal jurisdictions in Pima County, Arizona. Jurisdictions include:City of TucsonTown of MaranaTown of Oro ValleyTown of SahuaritaCity of South TucsonPima CountyClick here to visit Pima County's Open Data site.PurposeThis layer was developed locate the municipal boundaries of jurisdictions in Pima County, Arizona.Dataset ClassificationLevel 0 - OpenKnown UsesThis layer is not in any known applications.Get Started with this Data• What is the largest incorporated jurisdiction by area?• Which incorporated jurisdiction has the longest boundary?• Which jurisdiction do I live in?Known Errors NoneContactPima CountyUpdate FrequencyAs Needed

  7. a

    Chapel Hill Proposed Extraterritorial Jurisdiction Map

    • opendata-townofchapelhill.hub.arcgis.com
    • hub.arcgis.com
    Updated Mar 23, 2017
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    Town of Chapel Hill (2017). Chapel Hill Proposed Extraterritorial Jurisdiction Map [Dataset]. https://opendata-townofchapelhill.hub.arcgis.com/documents/0f380e49d7ad4cafbd323f6f85cc5080
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    Dataset updated
    Mar 23, 2017
    Dataset authored and provided by
    Town of Chapel Hill
    Area covered
    Chapel Hill
    Description

    Map Date: July 2013Map Author: Deborah SquiresContact: chill@townofchapelhill.org

  8. a

    Location and Jurisdiction Map

    • hazard-mitigation-planning-statelocaltryit.hub.arcgis.com
    Updated Feb 11, 2025
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    ArcGIS Solutions Demonstration organization (2025). Location and Jurisdiction Map [Dataset]. https://hazard-mitigation-planning-statelocaltryit.hub.arcgis.com/datasets/location-and-jurisdiction-map
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    Dataset updated
    Feb 11, 2025
    Dataset authored and provided by
    ArcGIS Solutions Demonstration organization
    License
    Area covered
    Description

    A map used in the Hazard Risk Assessment Maps app to visualize location and jurisdiction of the area of interest for risk assessment.

  9. d

    River Bureau jurisdiction map

    • data.gov.tw
    csv
    Updated Jun 1, 2025
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    Water Resources Agency,Ministry of Economic Affairs (2025). River Bureau jurisdiction map [Dataset]. https://data.gov.tw/en/datasets/25782
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    csvAvailable download formats
    Dataset updated
    Jun 1, 2025
    Dataset authored and provided by
    Water Resources Agency,Ministry of Economic Affairs
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Description

    This dataset is linked to a list of KML (Keyhole Markup Language) files, which is a markup language based on the XML (eXtensible Markup Language) syntax standard, which adopts markup structure, contains nested elements and attributes. Developed and maintained by Keyhole, a company owned by Google, for expressing geographical annotations. Documents written in KML language are KML files, which use the same XML file format and are used in Google Earth-related software (Google Earth, Google Map, Google Maps for mobile...) to display geographic data (including points, lines, polygons, polyhedra, and models...). Many GIS-related systems now also adopt this format for the exchange of geographic data started by Google, and the fields and encoding of the KML in this dataset are UTF-8. For more details, please visit the "Geographic Information Warehouse Center" (http://gic.wra.gov.tw/).

  10. m

    Tidelands Jurisdiction Data

    • gis.data.mass.gov
    Updated Jan 3, 2018
    + more versions
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    MA Executive Office of Energy and Environmental Affairs (2018). Tidelands Jurisdiction Data [Dataset]. https://gis.data.mass.gov/maps/ecdb3f650367460581d4f3600821dc9d
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    Dataset updated
    Jan 3, 2018
    Dataset authored and provided by
    MA Executive Office of Energy and Environmental Affairs
    Area covered
    Description

    These data represent the presumed tidelands jurisdiction of MassDEP under M.G.L. c. 91 and the Waterways Regulations in 310 CMR 9.00.

    With the exception of present-day marsh areas, a continuous line of approximate c. 91 jurisdiction can be obtained by using a combination of the “Jurisdiction,” “Contemporary High Water,” “Inferred Contemporary High Water,” “Inferred Historic High Water,” and “Landlocked Tidelands” datalayers. The “Historic High Water” and “Landlocked Tidelands” lines form the approximate landward and seaward boundaries of landlocked tidelands, which are not regulated by DEP.Please see the metadata page for this layer at the MassGIS website for more information.

  11. m

    Jurisdictional Boundaries Basemap

    • mapthatcapecod.com
    Updated Dec 8, 2023
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    Center for Coastal Studies (2023). Jurisdictional Boundaries Basemap [Dataset]. https://www.mapthatcapecod.com/datasets/jurisdictional-boundaries-basemap-1
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    Dataset updated
    Dec 8, 2023
    Dataset authored and provided by
    Center for Coastal Studies
    Description

    This map contains many of the jurisdictional boundaries relevant for activities along the shoreline and that may be necessary for planning.Compiled in this map are datasets from and hosted by MassGIS, U.S. Fish and Wildlife Service, Massachusetts Executive Office of Energy and Environmental Affairs, Massachusetts Office of Coastal Zone Management (CZM), The National Park Service and the Center for Coastal Studies and includes layers representing boundaries and extents forTidelands Jurisdiction Coastal Barrier Resource System State Designated Barrier BeachesMassachusetts Ocean Management Planning AreaAreas of Critical Environmental ConcernNHESP Priority and Estimated Habitats National Parks (NPS Boundary and Tract Information was last updated in 2016 for the ISM planning area)Mass Historic CommissionMouths of Coastal RiversThe active and visible layer is Tidelands Jurisdiction, use the layer list to view additional boundaries.

  12. City and County Boundary Line Changes

    • gis.data.ca.gov
    • gis-california.opendata.arcgis.com
    • +1more
    Updated Mar 6, 2015
    + more versions
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    California Department of Tax and Fee Administration (2015). City and County Boundary Line Changes [Dataset]. https://gis.data.ca.gov/maps/93f73ae0070240fca9a4d3826ddb83cd
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    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).

  13. c

    Administrative Maps

    • gis.data.ca.gov
    • data.cnra.ca.gov
    • +4more
    Updated Jan 23, 2018
    + more versions
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    California State Lands Commission (2018). Administrative Maps [Dataset]. https://gis.data.ca.gov/maps/929cdd898ffc424e86b696e4de1cb26d
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    Dataset updated
    Jan 23, 2018
    Dataset authored and provided by
    California State Lands Commissionhttps://www.slc.ca.gov/
    Area covered
    Description

    The California State Lands Commission (CSLC) was created by the California Legislature in 1938 and given the authority and responsibility to manage certain public lands within the state. The public lands under the Commission’s jurisdiction are of two distinct types—sovereign lands acquired upon California’s admission into the Union in 1850; and certain federally granted lands including school lands, and swamp and overflowed lands. For purposes of this GIS data, sovereign lands are considered to be further divided into two general categories—fixed-boundary sovereign lands and ambulatory-boundary sovereign lands. The following lands are included in this data: Portions of the ambulatory-boundary for state sovereign lands at a specific point in time, for portions of the San Joaquin River. NOT INCLUDED IN THIS DATA: School lands: These are what remains of nearly 5.5 million acres throughout the state originally granted to California by Congress in 1853 to benefit public education. Fixed-boundary sovereign lands: These are sovereign, public trust lands having fixed boundaries as the result of land exchanges, boundary line agreements or court orders. Swamps and overflowed lands: These are what remain of federal lands granted to California by Congress in 1850 to encourage reclamation and development of agricultural lands. ALSO NOT INCLUDED IN THIS DATA: Ownership details within the U.S. Government meanders of Owens Lake. THIS DATA SUPERSEDES all previously published GIS information with respect to the above described state-owned lands under the jurisdiction of the CSLC.

  14. s

    Extraterritorial Jurisdiction (Sarpy County, NE)

    • gis.sarpy.gov
    • gohub.mapacog.org
    • +3more
    Updated Jul 22, 2014
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    Sarpy County, Nebraska (2014). Extraterritorial Jurisdiction (Sarpy County, NE) [Dataset]. https://gis.sarpy.gov/datasets/4dfcc5c6504d4702a7010d08970afa9d
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    Dataset updated
    Jul 22, 2014
    Dataset authored and provided by
    Sarpy County, Nebraska
    License

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

    Area covered
    Description

    Extraterritorial zoning jurisdictions for municipalities within Sarpy County, NebraskaData current as of the last business day.

  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. Utility Natural Gas Capacity and Generation by Jurisdiction and County: 2024...

    • hub.arcgis.com
    • gis.data.ca.gov
    • +1more
    Updated Jun 3, 2025
    + more versions
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    California Energy Commission (2025). Utility Natural Gas Capacity and Generation by Jurisdiction and County: 2024 [Dataset]. https://hub.arcgis.com/documents/86874b435c8e4fc2baa59bd0a3e5bc07
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    California Energy Commissionhttp://www.energy.ca.gov/
    License

    https://www.energy.ca.gov/conditions-of-usehttps://www.energy.ca.gov/conditions-of-use

    Description

    Power plant capacity data and map are from the California Energy Commission.The CEC licenses thermal power plants 50 megawatts (MW) and greater andthe infrastructure serving the plants such as electric transmission lines, fuelsupply lines, and water pipelines. These licensed plants are referred to asjurisdictional plants. This map depicts the capacity of CEC-licensed(jurisdictional) natural gas power plants and non-jurisdictional natural gasplants. Counties without symbols had no natural gas power plants. Data is from2024 and is current as of May 29, 2025. Projection: NAD 1983 (2011) California(Teale) Albers (Meters). For more information, contact John Hingtgen atjohn.hingtgen@energy.ca.gov.

  17. l

    Public Works Information Map Viewer

    • geohub.lacity.org
    • data.lacounty.gov
    Updated Jan 21, 2025
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    County of Los Angeles (2025). Public Works Information Map Viewer [Dataset]. https://geohub.lacity.org/documents/947ded42bf2c4138992daf294967ac14
    Explore at:
    Dataset updated
    Jan 21, 2025
    Dataset authored and provided by
    County of Los Angeles
    Description

    A viewer intended to provide the public with information regarding the jurisdictional responsibilities of a variety of Public Works core services as well as links to key indicators for communities throughout the county. It should help a member of the public identify important PW services and help with identifying contact information for additional help. Jurisdictional boundaries include layers on infrastructure for a number of core Public Works areas of focus, such as:Flood ControlSewers and LandfillsTransporationWaterGarbage DisposalPublic Works FacilitiesInformation is also available for services in any given area using the "Service Locator".Information is available for communities and cities using "Community Profiles".

  18. Australia's Maritime Jurisdiction - wall map - A0 size

    • data.wu.ac.at
    • datadiscoverystudio.org
    • +1more
    pdf
    Updated Jun 24, 2017
    + more versions
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    Geoscience Australia (2017). Australia's Maritime Jurisdiction - wall map - A0 size [Dataset]. https://data.wu.ac.at/schema/data_gov_au/YjQ2OTAxZTctY2JmNy00MGRiLWFkNGQtODI0YTVlOTZhYjhh
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jun 24, 2017
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    License

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

    Area covered
    321455ec1ce0322f28cce790af8b2a0d5ecce90e, Australia
    Description

    Map showing all of Australia's Maritime Jurisdiction including external Territories and the AAT. One of the 27 constituent maps of the "Australia's Maritime Jurisdiction Map Series" (GeoCat 71789). Depicting Australia's extended continental shelf approved by the Commission on the Limits of the Continental Shelf in April 2008. Background bathymetry image is derived from a combination of the 2009 9 arc second bathymetry and topographic grid by Geoscience Australia and a grid by W.H.F. Smith and D.T. Sandwell, 1997. Background land imagery derived from Blue Marble, NASA's Earth Observatory. A0 sized .pdf downloadable from the web.

    You can also purchase hard copies of Geoscience Australia data and other products at http://www.ga.gov.au/products-services/how-to-order-products/sales-centre.html

  19. Australia's Maritime Jurisdiction around Heard Island and McDonald Islands -...

    • researchdata.edu.au
    Updated Sep 25, 2015
    + more versions
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    Alcock, M.B.; French, C.J.; Hatfield, A. (2015). Australia's Maritime Jurisdiction around Heard Island and McDonald Islands - Mercator projection [Dataset]. https://researchdata.edu.au/australias-maritime-jurisdiction-mercator-projection/684214?source=suggested_datasets
    Explore at:
    Dataset updated
    Sep 25, 2015
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    Australian Ocean Data Network
    Authors
    Alcock, M.B.; French, C.J.; Hatfield, A.
    License

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

    Area covered
    Description

    Map showing Australia's Maritime Jurisdiction around Heard Island and McDonald Islands, including a portion of the AAT. Mercator Projection, WGS84 Datum, Central Meridian 76°E, True Scale at 58°S. One of the 27 constituent maps of the "Australia's Maritime Jurisdiction Map Series" (GeoCat 71789). Depicting Australia's extended continental shelf approved by the Commission on the Limits of the Continental Shelf in April 2008, treaties and various maritime zones. Background bathymetric image is derived from a grid by Smith and Sandwell, 1997. Background land imagery derived from Blue Marble, NASA's Earth Observatory. A0 sized .pdf downloadable from the web.

  20. a

    US District Court Jurisdictions

    • hifld-geoplatform.hub.arcgis.com
    • disasters-geoplatform.hub.arcgis.com
    • +1more
    Updated Mar 15, 2021
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    GeoPlatform ArcGIS Online (2021). US District Court Jurisdictions [Dataset]. https://hifld-geoplatform.hub.arcgis.com/datasets/geoplatform::us-district-court-jurisdictions/explore
    Explore at:
    Dataset updated
    Mar 15, 2021
    Dataset authored and provided by
    GeoPlatform ArcGIS Online
    Area covered
    Description

    Created based upon information located on the US Department of Justice website (https://www.fjc.gov/history/courts/u.s.-district-courts-and-federaljudiciary) 2021.

Share
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Ministry of the Interior Land Surveying and Mapping Center (2025). Land Administration Office Jurisdiction Map (TWD97 Latitude and Longitude) [Dataset]. https://data.gov.tw/en/datasets/13045

Land Administration Office Jurisdiction Map (TWD97 Latitude and Longitude)

Explore at:
shpAvailable download formats
Dataset updated
Jun 1, 2025
Dataset authored and provided by
Ministry of the Interior Land Surveying and Mapping Center
License

https://data.gov.tw/licensehttps://data.gov.tw/license

Description

The geographical data within the jurisdiction of the Taiwan Land Administration Office uses the TWD97 coordinate system.

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