26 datasets found
  1. Time Zones

    • geodata.bts.gov
    • catalog.data.gov
    • +3more
    Updated Jul 1, 2019
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    U.S. Department of Transportation: ArcGIS Online (2019). Time Zones [Dataset]. https://geodata.bts.gov/maps/time-zones
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    Dataset updated
    Jul 1, 2019
    Dataset provided by
    Authors
    U.S. Department of Transportation: ArcGIS Online
    Area covered
    Description

    The Time Zones dataset was compiled on October 04, 2019 and was updated January 05, 2023 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This layer is a digital representation of the geographic boundaries of the nine time zones that cover the United States and its territories (the Atlantic, Eastern, Central, Mountain, Pacific, Alaska, Hawaii–Aleutian, Samoa, and Chamorro time zones). The U.S. Department of Transportation (DOT) oversees the Nation's time zones and the uniform observance of Daylight-Saving Time. The oversight of time zones was assigned to DOT due to the importance of time coordination for transportation related activities. The time zones were established by the Standard Time Act of 1918 and amended by the Uniform Time Act of 1966. Time zones in the U.S. are defined in the U.S. Code, Title 15, Chapter 6, Subchapter IX - Standard Time. The time zone boundaries are defined in the Code of Federal Regulations (CFR), Title 49, Subtitle A, Part 71 - Standard Time Zone Boundaries. Segments used to compile the geospatial layer were derived from the CFR’s time zone descriptions (https://www.ecfr.gov/current/title-49/subtitle-A/part-71). Descriptions consist of segments referencing administrative boundaries, infrastructure, natural features, and geodesic lines. These segments are contained in various data layers in the National Geospatial Data Asset (NGDA) portfolio, the federal government’s authoritative geospatial data repository. Referenced segments were extracted from their NGDA and then merged to form continuous boundaries. In instances where there were multiple scales for a given dataset, the largest scale or most detailed layer was used. The standard time of the Atlantic zone is the Coordinated Universal Time (UTC) minus 4 hours; Eastern zone is UTC minus 5 hours; Central zone is UTC minus 6 hours; Mountain zone is UTC minus 7 hours; Pacific zone is UTC minus 8 hours; Alaska zone is UTC minus 9 hours; Hawaii–Aleutian zone is UTC minus 10 hours; Samoa zone is UTC minus 11 hours; and Chamorro zone is UTC plus 10 hours. For more information, please visit: https://doi.org/10.21949/1519143.

  2. K

    World Time Zones (Combined)

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Jul 18, 2011
    + more versions
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    TZ Timezones Maps (2011). World Time Zones (Combined) [Dataset]. https://koordinates.com/layer/3727-world-time-zones-combined/
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    kml, csv, dwg, geodatabase, pdf, shapefile, mapinfo tab, mapinfo mif, geopackage / sqliteAvailable download formats
    Dataset updated
    Jul 18, 2011
    Dataset authored and provided by
    TZ Timezones Maps
    License

    https://koordinates.com/license/attribution-3-0/https://koordinates.com/license/attribution-3-0/

    Area covered
    World,
    Description

    Captures the boundaries of the World TZ time zones.

    Actual time zone offsets are not present in this layer.

    Sourced from efele.net/maps/tz/world/. Please visit this link for more information about this layer.

    Note this layer differs from this one in that there is one feature (i.e. multi-polygons where appropriate) for each timezone.

  3. d

    Time Zone Boundary.

    • datadiscoverystudio.org
    csv, html, xml
    Updated Apr 11, 2018
    + more versions
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    (2018). Time Zone Boundary. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/ae9c5f8e33e246bb90cae392b526aa58/html
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    csv, xml, htmlAvailable download formats
    Dataset updated
    Apr 11, 2018
    Description

    description:

    The boundary line between Central Time and Mountain Time in North Dakota. This data was compiled from multiple sources with the primary source being the ND Department of Transportation and the National Atlas.

    Constraints: Not to be used for navigation, for informational purposes only. See full disclaimer for more information.

    ; abstract:

    The boundary line between Central Time and Mountain Time in North Dakota. This data was compiled from multiple sources with the primary source being the ND Department of Transportation and the National Atlas.

    Constraints: Not to be used for navigation, for informational purposes only. See full disclaimer for more information.

  4. G

    Standard Time Zones

    • open.canada.ca
    • data.wu.ac.at
    jpg, pdf
    Updated Mar 14, 2022
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    Natural Resources Canada (2022). Standard Time Zones [Dataset]. https://open.canada.ca/data/en/dataset/c7cbdd4e-4975-53b0-83c2-e2fda2ac69ee
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    pdf, jpgAvailable download formats
    Dataset updated
    Mar 14, 2022
    Dataset provided by
    Natural Resources Canada
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Description

    Contained within the 5th Edition (1978 to 1995) of the National Atlas of Canada is a map that shows Canada's six time zones as legislated and as observed; also gives internationally accepted names and designators.

  5. r

    Time Zone Database

    • rrid.site
    Updated Jun 21, 2025
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    (2025). Time Zone Database [Dataset]. http://identifiers.org/RRID:SCR_026492
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    Dataset updated
    Jun 21, 2025
    Description

    Database contains code and data that represent the history of local time for many representative locations around the globe. It is updated periodically to reflect changes made by political bodies to time zone boundaries, UTC offsets, and daylight-saving rules.

  6. d

    Airports, Aerodromes and Time Zones

    • datasets.ai
    • open.canada.ca
    • +2more
    22, 33
    Updated Sep 24, 2016
    + more versions
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    Natural Resources Canada | Ressources naturelles Canada (2016). Airports, Aerodromes and Time Zones [Dataset]. https://datasets.ai/datasets/43a2d87d-b657-5178-a781-7a29700e4fb6
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    33, 22Available download formats
    Dataset updated
    Sep 24, 2016
    Dataset authored and provided by
    Natural Resources Canada | Ressources naturelles Canada
    Description

    Contained within the 4th Edition (1974) of the Atlas of Canada is a plate map that shows 2 maps. The first map shows the locations of airports and aerodromes as of 1967, and also time zone boundaries. Airports and aerodromes are denoted as being an international airport, a Department of National Defense aerodrome or other airport / aerodrome and as having precision approach capability, non precision approach capability or no approach instrumentation. The length of each airport or aerodrome's runway is also indicated. The second map, at a scale of 1:35 000 000, shows the locations of water aerodromes and heliports for all of Canada.

  7. d

    GIS Data | Global Geospatial data | Postal/Administrative boundaries |...

    • datarade.ai
    .json, .xml
    Updated Oct 18, 2024
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    GeoPostcodes (2024). GIS Data | Global Geospatial data | Postal/Administrative boundaries | Countries, Regions, Cities, Suburbs, and more [Dataset]. https://datarade.ai/data-products/geopostcodes-gis-data-gesopatial-data-postal-administrati-geopostcodes
    Explore at:
    .json, .xmlAvailable download formats
    Dataset updated
    Oct 18, 2024
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    United States
    Description

    Overview

    Empower your location data visualizations with our edge-matched polygons, even in difficult geographies.

    Our self-hosted GIS data cover administrative and postal divisions with up to 6 precision levels: a zip code layer and up to 5 administrative levels. All levels follow a seamless hierarchical structure with no gaps or overlaps.

    The geospatial data shapes are offered in high-precision and visualization resolution and are easily customized on-premise.

    Use cases for the Global Boundaries Database (GIS data, Geospatial data)

    • In-depth spatial analysis

    • Clustering

    • Geofencing

    • Reverse Geocoding

    • Reporting and Business Intelligence (BI)

    Product Features

    • Coherence and precision at every level

    • Edge-matched polygons

    • High-precision shapes for spatial analysis

    • Fast-loading polygons for reporting and BI

    • Multi-language support

    For additional insights, you can combine the GIS data with:

    • Population data: Historical and future trends

    • UNLOCODE and IATA codes

    • Time zones and Daylight Saving Time (DST)

    Data export methodology

    Our geospatial data packages are offered in variable formats, including - .shp - .gpkg - .kml - .shp - .gpkg - .kml - .geojson

    All GIS data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

    Why companies choose our map data

    • Precision at every level

    • Coverage of difficult geographies

    • No gaps, nor overlaps

    Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.

  8. d

    Global Postal Boundaries (880K Polygons) | Global Map Data | GIS-Ready Zones...

    • datarade.ai
    .json, .xml
    Updated Jun 22, 2024
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    GeoPostcodes (2024). Global Postal Boundaries (880K Polygons) | Global Map Data | GIS-Ready Zones by Country & ZIP [Dataset]. https://datarade.ai/data-products/geopostcodes-boundary-data-global-coverage-880k-polygons-geopostcodes
    Explore at:
    .json, .xmlAvailable download formats
    Dataset updated
    Jun 22, 2024
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    United States
    Description

    Overview

    Empower your location data visualizations with our edge-matched polygons, even in difficult geographies.

    Our self-hosted geospatial data cover postal divisions for the whole world. The geospatial data shapes are offered in high-precision and visualization resolution and are easily customized on-premise.

    Use cases for the Global Boundaries Database (Geospatial data, Map data, Polygon daa)

    • In-depth spatial analysis

    • Clustering

    • Geofencing

    • Reverse Geocoding

    • Reporting and Business Intelligence (BI)

    Product Features

    • Coherence and precision at every level

    • Edge-matched polygons

    • High-precision shapes for spatial analysis

    • Fast-loading polygons for reporting and BI

    • Multi-language support

    For additional insights, you can combine the map data with:

    • Population data: Historical and future trends

    • UNLOCODE and IATA codes

    • Time zones and Daylight Saving Time (DST)

    Data export methodology

    Our location data packages are offered in variable formats, including - .shp - .gpkg - .kml - .shp - .gpkg - .kml - .geojson

    All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

    Why companies choose our map data

    • Precision at every level

    • Coverage of difficult geographies

    • No gaps, nor overlaps

    Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.

  9. a

    Bushfire Boundaries Near Real-Time Information Points

    • digital.atlas.gov.au
    Updated Nov 29, 2023
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    Digital Atlas of Australia (2023). Bushfire Boundaries Near Real-Time Information Points [Dataset]. https://digital.atlas.gov.au/maps/digitalatlas::bushfire-boundaries-near-real-time-information-points
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    Dataset updated
    Nov 29, 2023
    Dataset authored and provided by
    Digital Atlas of Australia
    License

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

    Area covered
    Description

    Important: Our technical support team is available to assist you during business hours only. Please keep in mind that we can only address technical difficulties during these hours. When using the product to make decisions, please take this into consideration.

    Abstract This spatial product shows consistent ‘near real-time’ bushfire and prescribed burn boundaries for all jurisdictions who have the technical ability or appropriate licence conditions to provide this information. Currency Maintenance of the underlying data is the responsibility of the custodian. Geoscience Australia has automated methods of regularly checking for changes in source data. Once detected the dataset and feeds will be updated as soon as possible. NOTE: The update frequency of the underlying data from the jurisdictions varies and, in most cases, does not line up to this product’s update cycle. Date created: November 2023 Modification frequency: Every 15 Minutes Spatial Extent

    West Bounding Longitude: 113° South Bounding Latitude: -44° East Bounding Longitude: 154° North Bounding Latitude: -10°

    Source Information The project team initially identified a list of potential source data through jurisdictional websites and the Emergency Management LINK catalogue. These were then confirmed by each jurisdiction through the EMSINA National and EMSINA Developers networks. This Webservice contains authoritative data sourced from:

    Australian Capital Territory - Emergency Service Agency (ESA) New South Wales - Rural Fire Service (RFS) Queensland - Queensland Fire and Emergency Service (QFES) South Australia - Country Fire Service (CFS)
    Tasmania - Tasmania Fire Service (TFS)
    Victoria – Department of Environment, Land, Water and Planning (DELWP)
    Western Australia – Department of Fire and Emergency Services (DFES)

    The completeness of the data within this webservice is reliant on each jurisdictional source and the information they elect to publish into their Operational Bushfire Boundary webservices. Known Limitations:

    This dataset does not contain information from the Northern Territory government. This dataset contains a subset of the Queensland bushfire boundary data. The Queensland ‘Operational’ feed that is consumed within this National Database displays a the last six (6) months of incident boundaries. In order to make this dataset best represent a ‘near-real-time’ or current view of operational bushfire boundaries Geoscience Australia has filtered the Queensland data to only incorporate the last two (2) weeks data. Geoscience Australia is aware of duplicate data (features) may appear within this dataset. This duplicate data is commonly represented in the regions around state borders where it is operationally necessary for one jurisdiction to understand cross border situations. Care must be taken when summing the values to obtain a total area burnt. The data within this aggregated National product is a spatial representation of the input data received from the custodian agencies. Therefore, data quality and data completion will vary. If you wish to assess more information about specific jurisdictional data and/or data feature(s) it is strongly recommended that you contact the appropriate custodian.

    The accuracy of the data attributes within this webservice is reliant on each jurisdictional source and the information they elect to publish into their Operational Bushfire Boundary webservices. Note: Geoscience Australia has, where possible, attempted to align the data to the (as of October 2023) draft National Current Incident Extent Feeds Data Dictionary. However, this has not been possible in all cases. Work to progress this alignment will be undertaken after the publication of this dataset, once this project enters a maintenance period. Catalog entry: Bushfire Boundaries – Near Real-Time Lineage Statement Version 1 and 2 (2019/20): This dataset was first built by EMSINA, Geoscience Australia, and Esri Australia staff in early January 2020 in response to the Black Summer Bushfires. The product was aimed at providing a nationally consistent dataset of bushfire boundaries. Version 1 was released publicly on 8 January 2020 through Esri AGOL software.
    Version 2 of the product was released in mid-February as EMSINA and Geoscience Australia began automating the product. The release of version 2 exhibited a reformatted attributed table to accommodate these new automation scripts. The product was continuously developed by the three entities above until early May 2020 when both the scripts and data were handed over to the National Bushfire Recovery Agency. The EMSINA Group formally ended their technical involvement with this project on June 30, 2020. Version 3 (2020/21): A 2020/21 version of the National Operational Bushfire Boundaries dataset was agreed to by the Australian Government. It continued to extend upon EMSINA’s 2019/20 Version 2 product. This product was owned and managed by the Australian Government Department of Home Affairs, with Geoscience Australia identified as the technical partners responsible for development and delivery. Work on Version 3 began in August 2020 with delivery of this product occurring on 14 September 2020. Version 4 (2021/22): A 2021/22 version of the National Operational Bushfire Boundaries dataset was produced by Geoscience Australia. This product was owned and managed by Geoscience Australia, who provided both development and delivery. Work on Version 4 began in August 2021 with delivery of this product occurring on 1 September 2021. The dataset was discontinued in May 2022 because of insufficient Government funding. Version 5 (2023/25): A 2023/25 version of the National Near-Real-Time Bushfire Boundaries dataset is produced by Geoscience Australia under funding from the National Bushfire Intelligence Capability (NBIC) - CSIRO. NBIC and Geoscience Australia have also partnered with the EMSINA Group to assist with accessing and delivering this dataset. This dataset is the first time where the jurisdictional attributes are aligned to AFAC’s National Bushfire Schema.
    Work on Version 5 began in August 2023 and was released in late 2023 under formal access arrangements with the States and Territories. Data Dictionary Geoscience Australia has not included attributes added automatically by spatial software processes in the table below.

    Attribute Name Description

    fire_id ID attached to fire (e.g. incident ID, Event ID, Burn ID).

    fire_name Incident name. If available.

    fire_type Binary variable to describe whether a fire was a bushfire or prescribed burn.

    ignition_date The date of the ignition of a fire event. Date and time are local time zone from the State where the fire is located and stored as a string.

    capt_date The date of the incident boundary was captured or updated. Date and time are local time zone from the Jurisdiction where the fire is located and stored as a string.

    capt_method Categorical variable to describe the source of data used for defining the spatial extent of the fire.

    area_ha Burnt area in Hectares. Currently calculated field so that all areas calculations are done in the same map projection. Jurisdiction supply area in appropriate projection to match state incident reporting system.

    perim_km ) Burnt perimeter in Kilometres. Calculated field so that all areas calculations are done in the same map projection. Jurisdiction preference is that supplied perimeter calculations are used for consistency with jurisdictional reporting.

    state State custodian of the data. NOTE: Currently some states use and have in their feeds cross border data

    agency Agency that is responsible for the incident

    date_retrieved The date and time that Geoscience Australia retrieved this data from the jurisdictions, stored as UTC. Please note when viewed in ArcGIS Online, the date is converted from UTC to your local time.

    Contact Geoscience Australia, clientservices@ga.gov.au

  10. g

    GeoPostcodes Worldwide Administrative and ZIP Code Boundaries

    • geopostcodes.com
    shapefile
    Updated Jul 10, 2025
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    GeoPostcodes (2025). GeoPostcodes Worldwide Administrative and ZIP Code Boundaries [Dataset]. https://www.geopostcodes.com/boundaries-database/
    Explore at:
    shapefileAvailable download formats
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    GeoPostcodes
    License

    https://www.geopostcodes.com/privacy-policy/https://www.geopostcodes.com/privacy-policy/

    Time period covered
    Jul 10, 2025
    Area covered
    World
    Description

    Comprehensive, weekly-updated polygon datasets covering postal and administrative boundaries for 247 countries, featuring up to 6 hierarchical levels, edge-matched polygons, and enriched with attributes like population, multilingual support, UNLOCODEs, IATA codes, and time zones.

  11. a

    Historical Bushfire Boundaries – Version 2.0

    • digital.atlas.gov.au
    Updated Mar 3, 2023
    + more versions
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    Digital Atlas of Australia (2023). Historical Bushfire Boundaries – Version 2.0 [Dataset]. https://digital.atlas.gov.au/datasets/historical-bushfire-boundaries-version-2-0/about
    Explore at:
    Dataset updated
    Mar 3, 2023
    Dataset authored and provided by
    Digital Atlas of Australia
    License

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

    Area covered
    Description

    Please zoom in to a town or local area for data to display.Abstract The Historical Bushfire Boundaries Dataset (version 2) represents the aggregation of jurisdictional supplied burnt areas polygons that date from the early 1900s through to 2023 (excluding the Northern Territory). The burnt areas represent curated jurisdictional owned polygons of bushfires and prescribed (planned) burns. This dataset was produced under Work Stream 1C - Activity 3 of the National Bushfire Intelligence Capability (NBIC) , a collaborative partnership between:

    Australian Climate Service CSIRO (NBIC) Geoscience Australia Emergency Management Spatial Information Network (EMSINA)

    Under agreement this Project (Activity 3) will release a nationally consistent, harmonised and standardised historical bushfire boundary dataset derived from the authoritative state and territory agencies in both 2023 (this dataset) and again in November 2024.
    The information released within this dataset is reflective of the data supplied by participating authoritative agencies. It may, or may not, represent all fire history within that jurisdiction. Geoscience Australia's role within this project is to:

    negotiate access to the state/territory historic bushfire boundary datasets aggregate, harmonise and standardise the jurisdictional data against the Australasian Fire Authorities Council (AFAC) National Bushfire Boundary Standards host the completed spatial product(s) arrange for the 'Historical Bushfire Boundaries' spatial dataset to be accessible through Geoscience Australia’s external data catalogues and through the new Digital Atlas of Australia platform ensure stakeholders have access to regular project updates.

    To harmonsise and standardise this dataset Geoscience Australia have utilised the AFAC endorsed data dictionary for fire history. This data dictionary and the definitions provided allowed Geoscience Australia to map common attributes from both sources. Unfortunately, not all attributes mapped across like-for-like. This resulted in Geoscience Australia either modifying or joining some of the jurisdictional attributes to fit or Geoscience Australia added them during the processing stage. Currency Date created: 03 March 2023 Date modified: November 2023 Next modification date: November 2024 Spatial Extent

    West Bounding Longitude: 112° South Bounding Latitude: -44° East Bounding Longitude: 154° North Bounding Latitude: -9°

    Source Information Catalog entry: Bushfire Boundaries – Historical Lineage Statement This dataset extends upon the first version of this dataset to be built and released under the Australia Research Data Commons Project in early 2023.
    This dataset (version 2) represents an updated aggregation of each jurisdiction (except the Northern Territory) fire history data to include information from the 2022-23 bushfire season.
    Agencies that have provided data include:

    Australian Capital Territory Parks and Conservation
    New South Wales Parks and Wildlife Service Queensland Parks and Wildlife Service South Australia Department of Environment, Water and Natural Resources Tasmania Department of Natural Resources and Environment Victorian Department of Environment, Land, Water and Planning Western Australia Department of Fire and Emergency Services

    The Northern Territory Government is progressing in the development of their Bushfire Boundary Capabilities. Work is underway with the relevant agencies to incorporate Northern Territory Government approved Historical Bushfire Boundary data in the future.
    Product standardisation: The data provided by each jurisdiction is standardised and harmonised. This process maps the existing state/territory attributes to the National Data Schema that was agreed to and endorsed by the participating state agencies and the Australian Fire and Emergency Services Authorities Council. The Digital Atlas of Australia data team published an optimised Bushfire Boundaries Historic dataset designed to perform efficiently in either a desktop application or a web service.
    This process utilised FME to reduce the processing time on millions of vertices within the complex dataset:

    Dataset projected to epsg:4326 to align with the near real time services hosted on the Digital Atlas of Australia Removes island or donut polygons within a fire extent, therefore a fire extent is shown with an outline and no internal parts Create separate polygon chunks based on 10000 vertices while maintaining the same attributes for each chunk of the identified fire, if a fire consists of multiple polygons each polygon is counted separately within the identified fire

    As a result the Bushfire Boundaries Historic dataset hosted in the Digital Atlas of Australia has more records than the original dataset. Data Dictionary All Layers

    Attribute Name Description

    fire_id ID attached to fire (e.g. incident ID, Event ID, Burn ID).

    fire_name Incident name. If available.

    fire_type Binary variable to describe whether a fire was a bushfire or prescribed burn.

    ignition_date The date of the ignition of a fire event. Date and time are local time zone from the State where the fire is located and stored as a string.

    capt_date The date of the incident boundary was captured or updated. Date and time are local time zone from the Jurisdiction where the fire is located and stored as a string.

    capt_method Categorical variable to describe the source of data used for defining the spatial extent of the fire.

    area_ha Burnt area in Hectares. Currently calculated field so that all areas calculations are done in the same map projection. Jurisdiction supply area in appropriate projection to match state incident reporting system.

    perim_km ) Burnt perimeter in Kilometres. Calculated field so that all areas calculations are done in the same map projection. Jurisdiction preference is that supplied perimeter calculations are used for consistency with jurisdictional reporting.

    state State custodian of the data. NOTE: Currently some states use and have in their feeds cross border data

    agency Agency that is responsible for the incident

    date_retrieved The date and time that Geoscience Australia retrieved this data from the jurisdictions, stored as UTC. Please note when viewed in ArcGIS Online, the date is converted from UTC to your local time.

    Fire Type definitions

    Data Source Category Description

    Bushfire Unplanned vegetation fire. A generic term which includes grass fires, forest fires and scrub fires both with and without a suppression objective. Also known as wildfire, accident, arson, lightning.

    Prescribed Burn The controlled application of fire under specified environmental conditions to a predetermined area and at the time, intensity, and rate of spread required to attain planned resource management objectives. Also known as planned burning, fuel reduction, traditional owner, ecological, hazard reduction

    Unknown Fire type is undetermined.

    Ignition Cause definitions

    Data Source Category Description

    Accidental Fires that are not the result of a deliberate (intentional) act.

    Natural Fires that ignite without human intervention.

    Incendiary Fires result from deliberate acts, intentional actions, or circumstances for the fire to occur in areas where it should not have occurred.

    Undetermined Fires that have not yet been investigated, under investigation or fires that have been investigated and the cause is not proven to an acceptable level of certainty.

    Capture Method definitions

    Data Source Category Description

    Aerial photography Derived from Aerial photography including manual interpretation as well as partially automated and fully automated methods.

    Linescanner Mapped against airborne sensor systems.

    Ground intelligence Mud map from ground observation.

    Ground intelligence GPS Fire boundary derived from ground (e.g. GPS tracker, Avenza).

    Air intelligence Mud map from air observation.

    Air intelligence GPS Fire boundary derived from air (e.g. helicopter, spotter).

    Himawari Derived from geostationary satellite Himawari and includes manual interpretation as well as partially automated and fully automated methods (spatial accuracy ± 2 kilometres).

    NOAA AVHRR Derived from Low Resolution - NOAA AVHRR satellite including manual interpretation, partially automated and fully automated methods (spatial accuracy ± 1 kilometres).

    MODIS Derived from Low Resolution - MODIS satellite imagery including manual interpretation as well as partially automated and fully automated methods (spatial accuracy ± 250 metres).

    VIIRS Derived from Low Resolution - VIIRS satellite imagery including manual interpretation as well as partially automated and fully automated methods (spatial accuracy ± 375 metres).

    Landsat Derived from Medium Resolution - Landsat satellite imagery including manual interpretation as well as partially automated and fully automated methods (spatial accuracy ± 30 metres).

    Sentinel Derived from Medium Resolution - Sentinel satellite imagery including manual interpretation as well as partially automated and fully automated methods (spatial accuracy ± 10 - 20 metres).

    Multiple Derived from multiple sources e.g. combination of ground intel and linescanner. For detailed information contact agency or state responsible.

    Unknown Data Source is unknown.

    Contact Geoscience Australia, clientservices@ga.gov.au

  12. a

    Near Real Time Bushfire Boundaries

    • digital.atlas.gov.au
    Updated Nov 29, 2023
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    Digital Atlas of Australia (2023). Near Real Time Bushfire Boundaries [Dataset]. https://digital.atlas.gov.au/maps/8b28109ce26b43b8968a3c9baa608f43
    Explore at:
    Dataset updated
    Nov 29, 2023
    Dataset authored and provided by
    Digital Atlas of Australia
    License

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

    Area covered
    Description

    Important: Our technical support team is available to assist you during business hours only. Please keep in mind that we can only address technical difficulties during these hours. When using the product to make decisions, please take this into consideration.

    Abstract This spatial product shows consistent ‘near real-time’ bushfire and prescribed burn boundaries for all jurisdictions who have the technical ability or appropriate licence conditions to provide this information. Currency Maintenance of the underlying data is the responsibility of the custodian. Geoscience Australia has automated methods of regularly checking for changes in source data. Once detected the dataset and feeds will be updated as soon as possible. NOTE: The update frequency of the underlying data from the jurisdictions varies and, in most cases, does not line up to this product’s update cycle. Date created: November 2023 Modification frequency: Every 15 Minutes Spatial Extent

    West Bounding Longitude: 113° South Bounding Latitude: -44° East Bounding Longitude: 154° North Bounding Latitude: -10°

    Source Information The project team initially identified a list of potential source data through jurisdictional websites and the Emergency Management LINK catalogue. These were then confirmed by each jurisdiction through the EMSINA National and EMSINA Developers networks. This Webservice contains authoritative data sourced from:

    Australian Capital Territory - Emergency Service Agency (ESA) New South Wales - Rural Fire Service (RFS) Queensland - Queensland Fire and Emergency Service (QFES) South Australia - Country Fire Service (CFS)
    Tasmania - Tasmania Fire Service (TFS)
    Victoria – Department of Environment, Land, Water and Planning (DELWP)
    Western Australia – Department of Fire and Emergency Services (DFES)

    The completeness of the data within this webservice is reliant on each jurisdictional source and the information they elect to publish into their Operational Bushfire Boundary webservices. Known Limitations:

    This dataset does not contain information from the Northern Territory government. This dataset contains a subset of the Queensland bushfire boundary data. The Queensland ‘Operational’ feed that is consumed within this National Database displays a the last six (6) months of incident boundaries. In order to make this dataset best represent a ‘near-real-time’ or current view of operational bushfire boundaries Geoscience Australia has filtered the Queensland data to only incorporate the last two (2) weeks data. Geoscience Australia is aware of duplicate data (features) may appear within this dataset. This duplicate data is commonly represented in the regions around state borders where it is operationally necessary for one jurisdiction to understand cross border situations. Care must be taken when summing the values to obtain a total area burnt. The data within this aggregated National product is a spatial representation of the input data received from the custodian agencies. Therefore, data quality and data completion will vary. If you wish to assess more information about specific jurisdictional data and/or data feature(s) it is strongly recommended that you contact the appropriate custodian.

    The accuracy of the data attributes within this webservice is reliant on each jurisdictional source and the information they elect to publish into their Operational Bushfire Boundary webservices. Note: Geoscience Australia has, where possible, attempted to align the data to the (as of October 2023) draft National Current Incident Extent Feeds Data Dictionary. However, this has not been possible in all cases. Work to progress this alignment will be undertaken after the publication of this dataset, once this project enters a maintenance period. Catalog entry: Bushfire Boundaries – Near Real-Time Lineage Statement Version 1 and 2 (2019/20): This dataset was first built by EMSINA, Geoscience Australia, and Esri Australia staff in early January 2020 in response to the Black Summer Bushfires. The product was aimed at providing a nationally consistent dataset of bushfire boundaries. Version 1 was released publicly on 8 January 2020 through Esri AGOL software.
    Version 2 of the product was released in mid-February as EMSINA and Geoscience Australia began automating the product. The release of version 2 exhibited a reformatted attributed table to accommodate these new automation scripts. The product was continuously developed by the three entities above until early May 2020 when both the scripts and data were handed over to the National Bushfire Recovery Agency. The EMSINA Group formally ended their technical involvement with this project on June 30, 2020. Version 3 (2020/21): A 2020/21 version of the National Operational Bushfire Boundaries dataset was agreed to by the Australian Government. It continued to extend upon EMSINA’s 2019/20 Version 2 product. This product was owned and managed by the Australian Government Department of Home Affairs, with Geoscience Australia identified as the technical partners responsible for development and delivery. Work on Version 3 began in August 2020 with delivery of this product occurring on 14 September 2020. Version 4 (2021/22): A 2021/22 version of the National Operational Bushfire Boundaries dataset was produced by Geoscience Australia. This product was owned and managed by Geoscience Australia, who provided both development and delivery. Work on Version 4 began in August 2021 with delivery of this product occurring on 1 September 2021. The dataset was discontinued in May 2022 because of insufficient Government funding. Version 5 (2023/25): A 2023/25 version of the National Near-Real-Time Bushfire Boundaries dataset is produced by Geoscience Australia under funding from the National Bushfire Intelligence Capability (NBIC) - CSIRO. NBIC and Geoscience Australia have also partnered with the EMSINA Group to assist with accessing and delivering this dataset. This dataset is the first time where the jurisdictional attributes are aligned to AFAC’s National Bushfire Schema.
    Work on Version 5 began in August 2023 and was released in late 2023 under formal access arrangements with the States and Territories. Data Dictionary Geoscience Australia has not included attributes added automatically by spatial software processes in the table below.

    Attribute Name Description

    fire_id ID attached to fire (e.g. incident ID, Event ID, Burn ID).

    fire_name Incident name. If available.

    fire_type Binary variable to describe whether a fire was a bushfire or prescribed burn.

    ignition_date The date of the ignition of a fire event. Date and time are local time zone from the State where the fire is located and stored as a string.

    capt_date The date of the incident boundary was captured or updated. Date and time are local time zone from the Jurisdiction where the fire is located and stored as a string.

    capt_method Categorical variable to describe the source of data used for defining the spatial extent of the fire.

    area_ha Burnt area in Hectares. Currently calculated field so that all areas calculations are done in the same map projection. Jurisdiction supply area in appropriate projection to match state incident reporting system.

    perim_km ) Burnt perimeter in Kilometres. Calculated field so that all areas calculations are done in the same map projection. Jurisdiction preference is that supplied perimeter calculations are used for consistency with jurisdictional reporting.

    state State custodian of the data. NOTE: Currently some states use and have in their feeds cross border data

    agency Agency that is responsible for the incident

    date_retrieved The date and time that Geoscience Australia retrieved this data from the jurisdictions, stored as UTC. Please note when viewed in ArcGIS Online, the date is converted from UTC to your local time.

    Contact Geoscience Australia, clientservices@ga.gov.au

  13. W

    Intermediate Zone Boundaries 2001

    • cloud.csiss.gmu.edu
    • find.data.gov.scot
    • +2more
    xml, zip
    Updated Jan 1, 2020
    + more versions
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    United Kingdom (2020). Intermediate Zone Boundaries 2001 [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/intermediate-zone-boundaries-2001
    Explore at:
    xml, zipAvailable download formats
    Dataset updated
    Jan 1, 2020
    Dataset provided by
    United Kingdom
    License

    http://reference.data.gov.uk/id/open-government-licencehttp://reference.data.gov.uk/id/open-government-licence

    Description

    Intermediate zones are a statistical geography that sit between data zones and local authorities, created for use with the Scottish Neighbourhood Statistics (SNS) programme. Intermediate zones are used for the dissemination of statistics that are not suitable for release at the data zone level because of the sensitive nature of the statistics, or for reasons of reliability. Intermediate Zones were designed to meet constraints on population thresholds (2,500 - 6,000 household residents), to nest within local authorities (as they were in 2001), and to be built up from data zones. The aim was also to build intermediate zones by grouping together data zones with similar social characteristics, to have fairly compact shape and to take into account physical boundaries. Intermediate zones are a stable geography and can be used to analyse change over time.

    There are 1,235 intermediate zones across Scotland, and each have been assigned an individual code that follows the Scottish Government's standard naming and coding convention. The code prefix is S02, which has been assigned to designate intermediate zones. In most cases, intermediate zones were also been assigned a name by the relevant Community Planning Partnership. From time to time Local Authorities may choose to update these names, and this dataset will be updated to reflect these changes.

  14. a

    Bushfire Boundaries 3 Hourly Accumulation

    • digital.atlas.gov.au
    Updated Nov 29, 2023
    + more versions
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    Digital Atlas of Australia (2023). Bushfire Boundaries 3 Hourly Accumulation [Dataset]. https://digital.atlas.gov.au/datasets/bushfire-boundaries-3-hourly-accumulation
    Explore at:
    Dataset updated
    Nov 29, 2023
    Dataset authored and provided by
    Digital Atlas of Australia
    License

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

    Area covered
    Description

    Important: Our technical support team is available to assist you during business hours only. Please keep in mind that we can only address technical difficulties during these hours. When using the product to make decisions, please take this into consideration.

    Abstract This spatial product shows accumulating 3-hourly snapshots of bushfire and prescribed burn boundaries, consistent across all jurisdictions who have the technical ability or appropriate licence conditions to provide this information. This dataset is derived from the National Near-Real-Time Bushfire Boundaries product. Currency Maintenance of the underlying data is the responsibility of the individual custodian. NOTE: The update frequency of the underlying data from the jurisdictions varies and, in most cases, does not line up to this product’s update cycle. Date created: November 2023 Modification frequency: Every 3 Hours Spatial Extent

    West Bounding Longitude: 113° South Bounding Latitude: -44° East Bounding Longitude: 154° North Bounding Latitude: -10°

    Source Information This dataset is derived from the National Near-Real-Time Bushfire Boundaries product. The project team initially identified a list of potential source data through jurisdictional websites and the Emergency Management LINK catalogue. These were then confirmed by each jurisdiction through the EMSINA National and EMSINA Developers networks. This Webservice contains authoritative data sourced from:

    Australian Capital Territory - Emergency Service Agency (ESA) New South Wales - Rural Fire Service (RFS) Queensland - Queensland Fire and Emergency Service (QFES) South Australia - Country Fire Service (CFS)
    Tasmania - Tasmania Fire Service (TFS)
    Victoria – Department of Environment, Land, Water and Planning (DELWP)
    Western Australia – Department of Fire and Emergency Services (DFES)

    The completeness of the data within this webservice is reliant on each jurisdictional source and the information they elect to publish into their Operational Bushfire Boundary webservices. Known Limitations:

    This dataset does not contain information from the Northern Territory government. This dataset contains a subset of the Queensland bushfire boundary data. The Queensland ‘Operational’ feed that is consumed within this National Database displays a the last six (6) months of incident boundaries. In order to make this dataset best represent a ‘near-real-time’ or current view of operational bushfire boundaries Geoscience Australia has filtered the Queensland data to only incorporate the last two (2) weeks data. Geoscience Australia is aware of duplicate data (features) may appear within this dataset. This duplicate data is commonly represented in the regions around state borders where it is operationally necessary for one jurisdiction to understand cross border situations. Care must be taken when summing the values to obtain a total area burnt. The data within this aggregated National product is a spatial representation of the input data received from the custodian agencies. Therefore, data quality and data completion will vary. If you wish to assess more information about specific jurisdictional data and/or data feature(s) it is strongly recommended that you contact the appropriate custodian.

    The accuracy of the data attributes within this webservice is reliant on each jurisdictional source and the information they elect to publish into their Operational Bushfire Boundary webservices. Note: Geoscience Australia has, where possible, attempted to align the data to the (as of October 2023) draft National Current Incident Extent Feeds Data Dictionary. However, this has not been possible in all cases. Work to progress this alignment will be undertaken after the publication of this dataset, once this project enters a maintenance period. Catalog entry: Bushfire Boundaries – 3-Hourly Accumulation Lineage Statement Version 1 (2021/22): A 2021/22 version of the National 3 Hourly Cumulative Bushfire Boundaries dataset was produced by Geoscience Australia. This product was owned and managed by Geoscience Australia, who provided both development and delivery. Work on Version 1 of this dataset began in August 2021 with delivery occurring in September 2021. The dataset was discontinued in May 2022 due to insufficient Government funding. Version 2 (2023/25): A 2023/25 version of National Near-Real-Time Bushfire Boundaries dataset is produced by Geoscience Australia under funding from the National Bushfire Intelligence Capability (NBIC) - CSIRO. NBIC and Geoscience Australia have also partnered with the EMSINA Group to assist with accessing and delivering this dataset. This dataset is the first time where the jurisdictional attributes are aligned to AFAC’s National Bushfire Schema.
    Work on Version 2 began in August 2023 and was released in late 2023 under formal access arrangements with the States and Territories. Data Dictionary Geoscience Australia has not included attributes added automatically by spatial software processes in the table below.

    Attribute Name Description

    fire_id ID attached to fire (e.g. incident ID, Event ID, Burn ID).

    fire_name Incident name. If available.

    fire_type Binary variable to describe whether a fire was a bushfire or prescribed burn.

    ignition_date The date of the ignition of a fire event. Date and time are local time zone from the State where the fire is located and stored as a string.

    capt_date The date of the incident boundary was captured or updated. Date and time are local time zone from the Jurisdiction where the fire is located and stored as a string.

    capt_method Categorical variable to describe the source of data used for defining the spatial extent of the fire.

    area_ha Burnt area in Hectares. Currently calculated field so that all areas calculations are done in the same map projection. Jurisdiction supply area in appropriate projection to match state incident reporting system.

    perim_km ) Burnt perimeter in Kilometres. Calculated field so that all areas calculations are done in the same map projection. Jurisdiction preference is that supplied perimeter calculations are used for consistency with jurisdictional reporting.

    state State custodian of the data. NOTE: Currently some states use and have in their feeds cross border data

    agency Agency that is responsible for the incident

    date_retrieved The date and time that Geoscience Australia retrieved this data from the jurisdictions, stored as UTC. Please note when viewed in ArcGIS Online, the date is converted from UTC to your local time.

    Contact Contact: Geoscience Australia clientservices@ga.gov.au

  15. g

    World Administrative Boundaries

    • geopostcodes.com
    csv
    Updated Apr 28, 2024
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    GeoPostcodes (2024). World Administrative Boundaries [Dataset]. https://www.geopostcodes.com/world-administrative-boundaries/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Apr 28, 2024
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    World, World
    Description

    Our World Administrative Boundaries Database offers comprehensive postal code data for spatial analysis, including postal and administrative areas. This dataset contains accurate and up-to-date information on all administrative divisions, cities, and zip codes, making it an invaluable resource for various applications such as address capture and validation, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including CSV, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Product features include fully and accurately geocoded data, multi-language support with address names in local and foreign languages, comprehensive city definitions, and the option to combine map data with UNLOCODE and IATA codes, time zones, and daylight saving times. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

  16. a

    HUC8 Watershed Boundary

    • hub.arcgis.com
    Updated Jun 3, 2025
    + more versions
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    National Climate Resilience (2025). HUC8 Watershed Boundary [Dataset]. https://hub.arcgis.com/datasets/nationalclimate::livneh-historical-observations-temperature-variables?layer=2
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    Dataset updated
    Jun 3, 2025
    Dataset authored and provided by
    National Climate Resilience
    License

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

    Area covered
    Description

    The Climate Resilience Information System (CRIS) provides data and tools for developers of climate services. This layer has historical variables in decadal increments from 1950 to 2020 derived from historical observations of air temperature and precipitation. The variables included are:Annual average daily maximum temperature (°F) Annual average daily temperature (°F) Annual average daily minimum temperature (°F) Annual single highest maximum temperature (°F) Annual single lowest minimum temperature (°F) Annual average summertime (June, July, August) temperature (°F) This layer uses data from the Livneh gridded precipitation and other meteorological variables for continental US, Mexico and southern Canada. Further processing by Esri is explained below.For each variable, there are mean values for the defined respective geography: counties, tribal areas, HUC-8 watersheds. The process for deriving these summaries is available from the CRIS Website’s About the Data. Other climate variables are available from the CRIS Data page. Additional geographies, including Alaska, Hawai’i and Puerto Rico will be made available in the future.GeographiesThis layer provides historic values for three geographies: county, tribal area, and HUC-8 watersheds.County: based on the U.S. Census TIGER/Line 2022 distribution. Tribal areas: based on the U.S. Census American Indian/Alaska Native/Native Hawaiian Area dataset 2022 distribution. This dataset includes federal- and state-recognized statistical areas.HUC-8 watershed: based on the USGS Washed Boundary Dataset, part of the National Hydrography Database Plus High Resolution. Time RangesHistoric climate threshold values (e.g. Days Over 90°F) were calculated for each year from 1950 to 2020. To ensure the layer displays time correctly, under 'Map properties' set Time zone to 'Universal Coordinated Time (UTC)' and under 'Time slider options' set Time intervals to '1 Decade'.Data CitationLivneh, B., T. J. Bohn, D. W. Pierce, F. Munoz-Arriola, B. Nijssen, R. Vose, D. R. Cayan, and L. Brekke, 2015: A spatially comprehensive, hydrometeorological data set for Mexico, the U.S., and Southern Canada 1950 - 2013. Scientific Data, 2, https://doi.org/10.1038/sdata.2015.42.Data ExportExporting this data into shapefiles, geodatabases, GeoJSON, etc is enabled.

  17. d

    Geospatial Data | Global Map data | Administrative boundaries | Global...

    • datarade.ai
    .json, .xml
    Updated Jul 4, 2024
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    GeoPostcodes (2024). Geospatial Data | Global Map data | Administrative boundaries | Global coverage | 245k Polygons [Dataset]. https://datarade.ai/data-products/geopostcodes-geospatial-data-global-map-data-administrati-geopostcodes-a4bf
    Explore at:
    .json, .xmlAvailable download formats
    Dataset updated
    Jul 4, 2024
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    United Kingdom, United States
    Description

    Overview

    Empower your location data visualizations with our edge-matched polygons, even in difficult geographies.

    Our self-hosted geospatial data cover administrative and postal divisions with up to 5 precision levels. All levels follow a seamless hierarchical structure with no gaps or overlaps.

    The geospatial data shapes are offered in high-precision and visualization resolution and are easily customized on-premise.

    Use cases for the Global Administrative Boundaries Database (Geospatial data, Map data)

    • In-depth spatial analysis

    • Clustering

    • Geofencing

    • Reverse Geocoding

    • Reporting and Business Intelligence (BI)

    Product Features

    • Coherence and precision at every level

    • Edge-matched polygons

    • High-precision shapes for spatial analysis

    • Fast-loading polygons for reporting and BI

    • Multi-language support

    For additional insights, you can combine the map data with:

    • Population data: Historical and future trends

    • UNLOCODE and IATA codes

    • Time zones and Daylight Saving Time (DST)

    Data export methodology

    Our location data packages are offered in variable formats, including - .shp - .gpkg - .kml - .shp - .gpkg - .kml - .geojson

    All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

    Why companies choose our map data

    • Precision at every level

    • Coverage of difficult geographies

    • No gaps, nor overlaps

    Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.

  18. g

    Data Zone Boundaries 2011

    • find.data.gov.scot
    • dtechtive.com
    html, zip
    Updated Nov 24, 2021
    + more versions
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    Scottish Government (2021). Data Zone Boundaries 2011 [Dataset]. https://find.data.gov.scot/datasets/40944
    Explore at:
    html(null MB), zip(null MB)Available download formats
    Dataset updated
    Nov 24, 2021
    Dataset provided by
    Scottish Government
    License

    https://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitationshttps://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/noLimitations

    Area covered
    Scotland
    Description

    Data zones are the key geography for the dissemination of small area statistics in Scotland and are widely used across the public and private sector. Composed of aggregates of Census Output Areas, data zones are large enough that statistics can be presented accurately without fear of disclosure and yet small enough that they can be used to represent communities. They are designed to have roughly standard populations of 500 to 1,000 household residents, nest within Local Authorities (at the time of the Census), have compact shapes that respect physical boundaries where possible, and to contain households with similar social characteristics. Aggregations of data zones are often used to approximate a larger area of interest or a higher level geography that statistics wouldn't normally be available for. Data zones also represent a relatively stable geography that can be used to analyse change over time, with changes only occurring after a Census. Following the update to data zones using 2011 Census data, there are now 6,976 data zones covering the whole of Scotland.

  19. g

    Intermediate Zone Boundaries 2001 | gimi9.com

    • gimi9.com
    Updated Jul 4, 2011
    + more versions
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    (2011). Intermediate Zone Boundaries 2001 | gimi9.com [Dataset]. https://gimi9.com/dataset/uk_intermediate-zone-boundaries-2001/
    Explore at:
    Dataset updated
    Jul 4, 2011
    License

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

    Description

    🇬🇧 영국 English Intermediate zones are a statistical geography that sit between data zones and local authorities, created for use with the Scottish Neighbourhood Statistics (SNS) programme. Intermediate zones are used for the dissemination of statistics that are not suitable for release at the data zone level because of the sensitive nature of the statistics, or for reasons of reliability. Intermediate Zones were designed to meet constraints on population thresholds (2,500 - 6,000 household residents), to nest within local authorities (as they were in 2001), and to be built up from data zones. The aim was also to build intermediate zones by grouping together data zones with similar social characteristics, to have fairly compact shape and to take into account physical boundaries. Intermediate zones are a stable geography and can be used to analyse change over time. There are 1,235 intermediate zones across Scotland, and each have been assigned an individual code that follows the Scottish Government's standard naming and coding convention. The code prefix is S02, which has been assigned to designate intermediate zones. In most cases, intermediate zones were also been assigned a name by the relevant Community Planning Partnership. From time to time Local Authorities may choose to update these names, and this dataset will be updated to reflect these changes.

  20. r

    WATER SHARING PLANS SPATIAL DATA

    • researchdata.edu.au
    • data.nsw.gov.au
    • +1more
    Updated Jul 27, 2022
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    data.nsw.gov.au (2022). WATER SHARING PLANS SPATIAL DATA [Dataset]. https://researchdata.edu.au/water-sharing-plans-spatial-data/2025431
    Explore at:
    Dataset updated
    Jul 27, 2022
    Dataset provided by
    data.nsw.gov.au
    License

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

    Area covered
    Description

    These datasets represent management units within in-force water sharing plans across NSW, including regulated, unregulated and groundwater plans (or a combination of these). The data includes both water sources and management zones (where applicable) derived from plans gazetted under the NSW Water Management Act 2000. The boundaries of these water sources and management zones are used to define areas in which specific management rules apply. As such, this data may be used to understand which water sharing plan rules apply to a specific location. The plans are in place for 10 years but may be amended within this time. Any updates to water source or management zone boundaries as a result of a plan being amended during, or replaced following its 10 year term will be made available at that time.\r \r PLEASE NOTE: In the case of any discrepancy between this digital dataset and the published Water Sharing Plan (accessible on the www.legislation.nsw.gov.au site) the instrument as made by the Minister remains the authoritative source and should be used to both interpret the intent of the Plan and in subsequent decision making. Best endeavours have been made in collating relevant Water Sharing Plan boundary and attribution contained in this dataset. However, no warranty is provided as to the accuracy or currency of this representation. The department does not warrant and is not liable for the use of this material as per the licenced sharing conditions CC-BY 4.0.\r

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U.S. Department of Transportation: ArcGIS Online (2019). Time Zones [Dataset]. https://geodata.bts.gov/maps/time-zones
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Time Zones

Explore at:
Dataset updated
Jul 1, 2019
Dataset provided by
Authors
U.S. Department of Transportation: ArcGIS Online
Area covered
Description

The Time Zones dataset was compiled on October 04, 2019 and was updated January 05, 2023 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This layer is a digital representation of the geographic boundaries of the nine time zones that cover the United States and its territories (the Atlantic, Eastern, Central, Mountain, Pacific, Alaska, Hawaii–Aleutian, Samoa, and Chamorro time zones). The U.S. Department of Transportation (DOT) oversees the Nation's time zones and the uniform observance of Daylight-Saving Time. The oversight of time zones was assigned to DOT due to the importance of time coordination for transportation related activities. The time zones were established by the Standard Time Act of 1918 and amended by the Uniform Time Act of 1966. Time zones in the U.S. are defined in the U.S. Code, Title 15, Chapter 6, Subchapter IX - Standard Time. The time zone boundaries are defined in the Code of Federal Regulations (CFR), Title 49, Subtitle A, Part 71 - Standard Time Zone Boundaries. Segments used to compile the geospatial layer were derived from the CFR’s time zone descriptions (https://www.ecfr.gov/current/title-49/subtitle-A/part-71). Descriptions consist of segments referencing administrative boundaries, infrastructure, natural features, and geodesic lines. These segments are contained in various data layers in the National Geospatial Data Asset (NGDA) portfolio, the federal government’s authoritative geospatial data repository. Referenced segments were extracted from their NGDA and then merged to form continuous boundaries. In instances where there were multiple scales for a given dataset, the largest scale or most detailed layer was used. The standard time of the Atlantic zone is the Coordinated Universal Time (UTC) minus 4 hours; Eastern zone is UTC minus 5 hours; Central zone is UTC minus 6 hours; Mountain zone is UTC minus 7 hours; Pacific zone is UTC minus 8 hours; Alaska zone is UTC minus 9 hours; Hawaii–Aleutian zone is UTC minus 10 hours; Samoa zone is UTC minus 11 hours; and Chamorro zone is UTC plus 10 hours. For more information, please visit: https://doi.org/10.21949/1519143.

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