8 datasets found
  1. v

    VT Service - E911 Composite Geocoder

    • geodata.vermont.gov
    • geodata1-vcgi.opendata.arcgis.com
    • +2more
    Updated Aug 3, 2021
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    VT Center for Geographic Information (2021). VT Service - E911 Composite Geocoder [Dataset]. https://geodata.vermont.gov/content/2a18d4a2011a40c9b27f9fdc90b13e2c
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    Dataset updated
    Aug 3, 2021
    Dataset authored and provided by
    VT Center for Geographic Information
    License

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

    Area covered
    Description

    Vermont composite geocoding service built with VT E911 data. This service can be used by ArcGIS Pro 2.8.x+ to batch geocode addresses stored in a table. It also can be used as a geocoder with most ArcGIS Online apps, as well as QGIS. [How To Use The Vermont Geocoding Service]This ArcGIS Online item utilizes the ArcGIS Server geocoding service at this REST Endpoint: https://maps.vcgi.vermont.gov/arcgis/rest/services/EGC_services/GCS_E911_COMPOSITE_SP_v2/GeocodeServer

  2. d

    Geoscape Geocoded National Address File (G-NAF)

    • data.gov.au
    • researchdata.edu.au
    • +1more
    pdf, zip
    Updated Feb 17, 2025
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    Department of Industry, Science and Resources (DISR) (2025). Geoscape Geocoded National Address File (G-NAF) [Dataset]. https://data.gov.au/data/dataset/geocoded-national-address-file-g-naf
    Explore at:
    zip(1677778357), pdf, pdf(651732), zip(1673953258)Available download formats
    Dataset updated
    Feb 17, 2025
    Dataset authored and provided by
    Department of Industry, Science and Resources (DISR)
    Description

    Geoscape G-NAF is the geocoded address database for Australian businesses and governments. It’s the trusted source of geocoded address data for Australia with over 50 million contributed addresses distilled into 15.4 million G-NAF addresses. It is built and maintained by Geoscape Australia using independently examined and validated government data.

    From 22 August 2022, Geoscape Australia is making G-NAF available in an additional simplified table format. G-NAF Core makes accessing geocoded addresses easier by utilising less technical effort.

    G-NAF Core will be updated on a quarterly basis along with G-NAF.

    Further information about contributors to G-NAF is available here.

    With more than 15 million Australian physical address record, G-NAF is one of the most ubiquitous and powerful spatial datasets. The records include geocodes, which are latitude and longitude map coordinates. G-NAF does not contain personal information or details relating to individuals.

    Updated versions of G-NAF are published on a quarterly basis. Previous versions are available here

    Users have the option to download datasets with feature coordinates referencing either GDA94 or GDA2020 datums.

    Changes in the February 2025 release

    • Nationally, the February 2025 update of G-NAF shows an overall increase of 47,284 addresses (0.30%). The total number of addresses in G-NAF now stands at 15,706,733 of which 14,867,032 or 94.65% are principal.

    • In the February 2025 release of G-NAF, over 300 addresses in Morra, Western Australia have been updated. About 150 addresses have changed locations and 160 properties now have street numbers instead of lot numbers. Some properties are still using lot-numbers, resulting in two addressees. This issue will be resolved in the May 2025 update of G-NAF.

    • In the February release, Geoscape has re-classified geocode types of ‘Property Access Point Setback’ (PAPS) to be ‘Property Access Point’ (PAP) in South Australia where the geocode falls within a road casement as the geocode is not set back into a land parcel. This update has changed approximately 57,000 geocodes to PAP from their previous classification of PAPS, while there are some 14,000 PAPS geocodes that remain unchanged.

    • Geoscape has moved product descriptions, guides and reports online to https://docs.geoscape.com.au.

    Further information on G-NAF, including FAQs on the data, is available here or through Geoscape Australia’s network of partners. They provide a range of commercial products based on G-NAF, including software solutions, consultancy and support.

    Additional information: On 1 October 2020, PSMA Australia Limited began trading as Geoscape Australia.

    License Information

    Use of the G-NAF downloaded from data.gov.au is subject to the End User Licence Agreement (EULA)

    The EULA terms are based on the Creative Commons Attribution 4.0 International license (CC BY 4.0). However, an important restriction relating to the use of the open G-NAF for the sending of mail has been added.

    The open G-NAF data must not be used for the generation of an address or the compilation of an address for the sending of mail unless the user has verified that each address to be used for the sending of mail is capable of receiving mail by reference to a secondary source of information. Further information on this use restriction is available here.

    End users must only use the data in ways that are consistent with the Australian Privacy Principles issued under the Privacy Act 1988 (Cth).

    Users must also note the following attribution requirements:

    Preferred attribution for the Licensed Material:

    _G-NAF © Geoscape Australia licensed by the Commonwealth of Australia under the _Open Geo-coded National Address File (G-NAF) End User Licence Agreement.

    Preferred attribution for Adapted Material:

    Incorporates or developed using G-NAF © Geoscape Australia licensed by the Commonwealth of Australia under the Open Geo-coded National Address File (G-NAF) End User Licence Agreement.

    What to Expect When You Download G-NAF

    G-NAF is a complex and large dataset (approximately 5GB unpacked), consisting of multiple tables that will need to be joined prior to use. The dataset is primarily designed for application developers and large-scale spatial integration. Users are advised to read the technical documentation, including product change notices and the individual product descriptions before downloading and using the product. A quick reference guide on unpacking the G-NAF is also available.

  3. d

    Geospatial Data | Address Data Enrichment | International Address data |...

    • datarade.ai
    .csv
    Updated May 17, 2024
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    GeoPostcodes (2024). Geospatial Data | Address Data Enrichment | International Address data | Geocoded [Dataset]. https://datarade.ai/data-products/geopostcodes-geospatial-data-address-data-enrichment-inte-geopostcodes
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    .csvAvailable download formats
    Dataset updated
    May 17, 2024
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    Belize, Uruguay, Maldives, Andorra, Monaco, Singapore, Mayotte, Australia, Mexico, Saint Pierre and Miquelon
    Description

    A comprehensive self-hosted geospatial database of international address data, including street names, coordinates, and address data ranges for Enterprise use. The address data are georeferenced with industry-standard WGS84 coordinates (geocoding).

    All address data are provided in the official local languages. Names and other data in non-Roman languages are also made available in English through translations and transliterations.

    Use cases for the Global Address Database (Geospatial data/Map Data)

    • Address Data Enrichment

    • Address capture and validation

    • Parcel delivery

    • Master Data Management

    • Logistics and Shipping

    • Sales and Marketing

    Product Features

    • Fully and accurately geocoded

    • Multi-language support

    • Address ranges for streets covered by several zip codes

    • Comprehensive city definitions across countries

    • Administrative areas with a level range of 0-4

    • International Address Formats

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

    • UNLOCODE and IATA codes (geocoded)

    • Time zones and Daylight Saving Time (DST)

    • Population data: Past and future trends

    Data export methodology

    Our address data enrichment packages are offered in CSV format. All international address data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

    Why do companies choose our location databases

    • Enterprise-grade service

    • Reduce integration time and cost by 30%

    • Frequent, consistent updates for the highest quality

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

  4. 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.

  5. TIGER/Line Shapefile, 2023, County, Alachua County, FL, Topological Faces...

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

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

  6. C

    National Hydrography Data - NHD and 3DHP

    • data.cnra.ca.gov
    • data.ca.gov
    • +3more
    Updated Oct 15, 2024
    + more versions
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    California Department of Water Resources (2024). National Hydrography Data - NHD and 3DHP [Dataset]. https://data.cnra.ca.gov/dataset/national-hydrography-dataset-nhd
    Explore at:
    pdf(1634485), pdf(9867020), pdf(182651), pdf(3684753), website, pdf(4856863), zip(578260992), pdf, zip(15824984), csv(12977), arcgis geoservices rest api, zip(10029073), zip(1647291), zip(972664), zip(128966494), pdf(1175775), zip(13901824), zip(73817620), zip(4657694), pdf(1436424), zip(39288832)Available download formats
    Dataset updated
    Oct 15, 2024
    Dataset authored and provided by
    California Department of Water Resources
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    The USGS National Hydrography Dataset (NHD) Downloadable Data Collection from The National Map (TNM) is a comprehensive set of digital spatial data that encodes information about naturally occurring and constructed bodies of surface water (lakes, ponds, and reservoirs), paths through which water flows (canals, ditches, streams, and rivers), and related entities such as point features (springs, wells, stream gages, and dams). The information encoded about these features includes classification and other characteristics, delineation, geographic name, position and related measures, a "reach code" through which other information can be related to the NHD, and the direction of water flow. The network of reach codes delineating water and transported material flow allows users to trace movement in upstream and downstream directions. In addition to this geographic information, the dataset contains metadata that supports the exchange of future updates and improvements to the data. The NHD supports many applications, such as making maps, geocoding observations, flow modeling, data maintenance, and stewardship. For additional information on NHD, go to https://www.usgs.gov/core-science-systems/ngp/national-hydrography.

    DWR was the steward for NHD and Watershed Boundary Dataset (WBD) in California. We worked with other organizations to edit and improve NHD and WBD, using the business rules for California. California's NHD improvements were sent to USGS for incorporation into the national database. The most up-to-date products are accessible from the USGS website. Please note that the California portion of the National Hydrography Dataset is appropriate for use at the 1:24,000 scale.

    For additional derivative products and resources, including the major features in geopackage format, please go to this page: https://data.cnra.ca.gov/dataset/nhd-major-features Archives of previous statewide extracts of the NHD going back to 2018 may be found at https://data.cnra.ca.gov/dataset/nhd-archive.

    In September 2022, USGS officially notified DWR that the NHD would become static as USGS resources will be devoted to the transition to the new 3D Hydrography Program (3DHP). 3DHP will consist of LiDAR-derived hydrography at a higher resolution than NHD. Upon completion, 3DHP data will be easier to maintain, based on a modern data model and architecture, and better meet the requirements of users that were documented in the Hydrography Requirements and Benefits Study (2016). The initial releases of 3DHP will be the NHD data cross-walked into the 3DHP data model. It will take several years for the 3DHP to be built out for California. Please refer to the resources on this page for more information.

    The FINAL,STATIC version of the National Hydrography Dataset for California was published for download by USGS on December 27, 2023. This dataset can no longer be edited by the state stewards.

    The first public release of the 3D Hydrography Program map service may be accessed at https://hydro.nationalmap.gov/arcgis/rest/services/3DHP_all/MapServer.

    Questions about the California stewardship of these datasets may be directed to nhd_stewardship@water.ca.gov.

  7. d

    Geospatial Data | Global Map data | Postal/Zip code boundaries | Polygon...

    • datarade.ai
    .json, .xml
    Updated Dec 15, 2024
    + more versions
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    GeoPostcodes (2024). Geospatial Data | Global Map data | Postal/Zip code boundaries | Polygon data [Dataset]. https://datarade.ai/data-products/geopostcodes-boundary-data-global-coverage-880k-polygons-geopostcodes
    Explore at:
    .json, .xmlAvailable download formats
    Dataset updated
    Dec 15, 2024
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    Comoros, Macedonia (the former Yugoslav Republic of), Togo, Åland Islands, Saudi Arabia, Senegal, Egypt, Argentina, Colombia, San Marino
    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.

  8. 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 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.

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

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VT Center for Geographic Information (2021). VT Service - E911 Composite Geocoder [Dataset]. https://geodata.vermont.gov/content/2a18d4a2011a40c9b27f9fdc90b13e2c

VT Service - E911 Composite Geocoder

Explore at:
Dataset updated
Aug 3, 2021
Dataset authored and provided by
VT Center for Geographic Information
License

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

Area covered
Description

Vermont composite geocoding service built with VT E911 data. This service can be used by ArcGIS Pro 2.8.x+ to batch geocode addresses stored in a table. It also can be used as a geocoder with most ArcGIS Online apps, as well as QGIS. [How To Use The Vermont Geocoding Service]This ArcGIS Online item utilizes the ArcGIS Server geocoding service at this REST Endpoint: https://maps.vcgi.vermont.gov/arcgis/rest/services/EGC_services/GCS_E911_COMPOSITE_SP_v2/GeocodeServer

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