12 datasets found
  1. ArcGIS World Geocoding

    • cityworks-alcogis.opendata.arcgis.com
    Updated Dec 21, 2012
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    Esri (2012). ArcGIS World Geocoding [Dataset]. https://cityworks-alcogis.opendata.arcgis.com/content/305f2e55e67f4389bef269669fc2e284
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    Dataset updated
    Dec 21, 2012
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    World
    Description

    The ArcGIS World Geocoding Service finds addresses and places in all supported countries around the world in a single geocoding service. The service can find point locations of addresses, cities, landmarks, business names, and other places. The output points can be visualized on a map, inserted as stops for a route, or loaded as input for a spatial analysis.The service is available as both a geosearch and geocoding service:Geosearch Services – The primary purpose of geosearch services is to locate a feature or point of interest and then have the map zoom to that location. The result might be displayed on the map, but the result is not stored in any way for later use. Requests of this type do not require a subscription or a credit fee. Geocoding Services – The primary purpose of geocoding services is to convert an address to an x,y coordinate and append the result to an existing record in a database. Mapping is not always involved, but placing the results on a map may be part of a workflow. Batch geocoding falls into this category. Geocoding requires a subscription. An ArcGIS Online Subscription, or ArcGIS Location Platform Subscription, will provide you access to the ArcGIS World Geocoding service for batch geocoding.The service can be used to find address and places for many countries around the world. For detailed information on this service, including a data coverage map, visit the ArcGIS World Geocoding service documentation.

  2. a

    Esri World Geocoding Maine and New Hampshire View

    • maine.hub.arcgis.com
    Updated Aug 11, 2021
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    State of Maine (2021). Esri World Geocoding Maine and New Hampshire View [Dataset]. https://maine.hub.arcgis.com/content/7980764286f14ad38eb41ded7482a201
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    Dataset updated
    Aug 11, 2021
    Dataset authored and provided by
    State of Maine
    Area covered
    Description

    The World Geocoding Service finds addresses and places in all supported countries around the world in a single geocoding service. The service can find point locations of addresses, cities, landmarks, business names, and other places. The output points can be visualized on a map, inserted as stops for a route, or loaded as input for a spatial analysis.The service is available as both a geosearch and geocoding service:Geosearch Services – The primary purpose of geosearch services is to locate a feature or point of interest and then have the map zoom to that location. The
    result might be displayed on the map, but the result is not stored in
    any way for later use. Requests of this type do not require a subscription or a credit fee. Geocoding Services – The primary purpose of geocoding services is to convert an address to an x,y coordinate and append the result to an existing record in a
    database. Mapping is not always involved, but placing the results on a
    map may be part of a workflow. Batch geocoding falls into this
    category. Geocoding requires a subscription. An ArcGIS Online subscription will provide you access to the World Geocoding service for batch geocoding.The service can be used to find address and places for many countries around the world. For detailed information on this service, including a data coverage map, visit the World Geocoding service documentation.

  3. a

    Africa Geocoder

    • africageoportal.com
    • rwanda.africageoportal.com
    • +2more
    Updated Dec 3, 2017
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    Africa GeoPortal (2017). Africa Geocoder [Dataset]. https://www.africageoportal.com/content/8b8b3277782341c4bc9d9dc8838f00ae
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    Dataset updated
    Dec 3, 2017
    Dataset authored and provided by
    Africa GeoPortal
    Description

    This Africa Geocoding locator is a view of the World Geocoding Service constrained to search for places in the countries of Africa. The World Geocoding Service finds addresses and places in all supported countries around the world in a single geocoding service. The service can find point locations of addresses, cities, landmarks, business names, and other places. The output points can be visualized on a map, inserted as stops for a route, or loaded as input for a spatial analysis.The service is available as both a geosearch and geocoding service:Geosearch Services – The primary purpose of geosearch services is to locate a feature or point of interest and then have the map zoom to that location. The result might be displayed on the map, but the result is not stored in any way for later use. Requests of this type do not require a subscription or a credit fee. Geocoding Services – The primary purpose of geocoding services is to convert an address to an x,y coordinate and append the result to an existing record in a database. Mapping is not always involved, but placing the results on a map may be part of a workflow. Batch geocoding falls into this category. Geocoding requires a subscription. An ArcGIS Online subscription will provide you access to the World Geocoding service for batch geocoding.The service can be used to find address and places for many countries around the world. For detailed information on this service, including a data coverage map, visit the World Geocoding service documentation.

  4. Health and Social Care Information Centre GP EPRACCUR

    • covid19.esriuk.com
    • data-pdnpa.opendata.arcgis.com
    • +1more
    Updated Jul 31, 2018
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    Esri UK (2018). Health and Social Care Information Centre GP EPRACCUR [Dataset]. https://covid19.esriuk.com/datasets/5d15f2f2a82e4ae98f80e6ae573d3bd9
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    Dataset updated
    Jul 31, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri UK
    Area covered
    Description

    This is a feature service showing all the GPS's which are currently active from the EPRACCUR published by the Health & Social Care Information Centre. The locations have been derived from CodePoint and the World Geocoding Service.

    The dataset was downloaded and processed on 16th October 2015.

    Contains Royal Mail data © Royal Mail copyright and Database right 2015

    Contains National Statistics data © Crown copyright and database right 2015

  5. a

    NOAA Storm Events Database 1950-2021

    • home-pugonline.hub.arcgis.com
    • resilience.climate.gov
    • +1more
    Updated Jan 15, 2022
    + more versions
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    ArcGIS Living Atlas Team (2022). NOAA Storm Events Database 1950-2021 [Dataset]. https://home-pugonline.hub.arcgis.com/datasets/arcgis-content::noaa-storm-events-database-1950-2021
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    Dataset updated
    Jan 15, 2022
    Dataset authored and provided by
    ArcGIS Living Atlas Team
    Area covered
    Description

    When severe weather occurs in the United States, there are networks of humans and sensors that observe and report the events and their details to the National Weather Service. These storm reports are aggregated and archived by NOAA's National Centers for Environmental Information. With over 1.7 million records over 70 years, the Storm Events Database is the most comprehensive, official record of severe weather in the U.S. This layer is a simplified version of the full database, providing information on:DateLocationEvent TypeNumber of injuries and deathsEstimated property damageEvent/episode summariesUse the NOAA Storm Events Database Explorer ArcGIS Dashboard for a more interactive data exploration. Known Data Quality Issue: approximately 650,000 of the 1.71 million features do not include latitude or longitude values in the original NOAA data source. To address these issues in the 2021 data update, the following has been done:Use the county and state fields the geolocate unknown locations using the ArcGIS World Geocoding Service. These events will all appear at the county centroid. There are a total of 646,039 records in this category. The field LatLon Known describes if an original geolocation was provided (Yes) or if it was generated per above (No).Marine (CZ_Type = M) locations without a known lat/lon were not included. There are a total of 3,987 records in this category. For related archives of weather information, please see the Windstorm Points and Paths, Hailstorm Points and Paths, and Historical Hurricane layers.Data caveatsPer NCEI, the "National Weather Service receives their information from a variety of sources, which include but are not limited to: county, state and federal emergency management officials, local law enforcement officials, skywarn spotters, NWS damage surveys, newspaper clipping services, the insurance industry and the general public, among others." However, these sources are all population-dependent, and many severe weather events are assumed to not be reported in areas of low population. Not only does this bias occur across space, but also across time as many areas had lower populations in the mid-20th Century, and more advanced networks and reporting methods have evolved with technology.

  6. FDOT Fuel Sites

    • hub.arcgis.com
    • gis-fdot.opendata.arcgis.com
    • +1more
    Updated Apr 12, 2019
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    Florida Department of Transportation (2019). FDOT Fuel Sites [Dataset]. https://hub.arcgis.com/datasets/fdot::fdot-fuel-sites/about
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    Dataset updated
    Apr 12, 2019
    Dataset authored and provided by
    Florida Department of Transportationhttps://www.fdot.gov/
    Area covered
    Description

    This dataset depicts FDOT owned and operated Fuel Sites located at FDOT Operations Centers located throughout the State of Florida. This layer has been created by Geocoding addresses with the ESRI World Geocoding Service.

  7. d

    Global Address Database (24M Streets) | Postal, Lat/Long, Localities &...

    • datarade.ai
    .csv
    Updated May 13, 2024
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    GeoPostcodes (2024). Global Address Database (24M Streets) | Postal, Lat/Long, Localities & Regions | Weekly Updates [Dataset]. https://datarade.ai/data-products/geopostcodes-address-data-global-coverage-24-m-streets-geopostcodes
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    .csvAvailable download formats
    Dataset updated
    May 13, 2024
    Dataset authored and provided by
    GeoPostcodes
    Area covered
    Guam, Holy See, Kazakhstan, Malaysia, Gibraltar, Sint Maarten (Dutch part), Åland Islands, Ireland, Tanzania, Guernsey
    Description

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

    All geospatial 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)

    • Address capture and validation

    • Parcel delivery

    • Master Data Management

    • Logistics and Shipping

    • Sales and Marketing

    Additional 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 location data packages are offered in CSV format. All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

    Why companies choose our location databases

    • Enterprise-grade service

    • Reduce integration time and cost by 30%

    • Frequent, consistent updates for the highest quality

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

  8. e

    木材サプライチェーンの可視化アプリ(デモ)※

    • national-government.esrij.com
    Updated May 27, 2020
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    demodesu01 (2020). 木材サプライチェーンの可視化アプリ(デモ)※ [Dataset]. https://national-government.esrij.com/items/71834c76f9874b27a237d77e158d06a7
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    Dataset updated
    May 27, 2020
    Dataset authored and provided by
    demodesu01
    Description

    マップの概要木材サプライチェーン(原木市場と製材工場の取引量)を可視化するアプリです。製材工場がどの原木市場とどの程度取引しているかをスパイダーグラフで表現したマップです。※データは全てダミーです。実際の市場や工場の取引量・取引先等をあらわすものではありません。※アカウントが必要な機能が含まれているため、閲覧希望の場合はお問い合わせください。アプリの機能表示範囲内にある原木市場の原木取扱量の集計任意の範囲内にある原木市場の原木取扱量の集計原木市場から製材工場へのルート案内作成に利用した製品・ツールArcGIS 10.6.1ジオコーディング:ArcGIS Online World Geocoding Service取引ライン:ジオメトリ変換ツールの「スパイダーグラフ」ArcGIS OnlineWebアプリ:Web AppBuilder for ArcGIS備考第15回GISコミュニティフォーラムの森林GISセッションで発表したものです

  9. C

    Canada Geospatial Analytics Market Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jan 30, 2025
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    Data Insights Market (2025). Canada Geospatial Analytics Market Report [Dataset]. https://www.datainsightsmarket.com/reports/canada-geospatial-analytics-market-12806
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Jan 30, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Canada
    Variables measured
    Market Size
    Description

    Market Analysis of Canada Geospatial Analytics Market The Canada geospatial analytics market is projected to reach a value of $2.9 billion by 2033, exhibiting a CAGR of 7.94% during the forecast period (2023-2033). The market's growth is driven by factors such as the increasing adoption of advanced analytics and location intelligence, the rising demand for real-time decision-making and optimization, and the need to enhance operational efficiency and productivity. Additionally, the market is witnessing the emergence of innovative technologies such as cloud computing, artificial intelligence (AI), and machine learning (ML), which are enabling more granular and sophisticated geospatial analysis. However, the market faces challenges such as data security and privacy concerns, the availability of skilled professionals, and the high cost of implementation and maintenance of geospatial analytics solutions. Nevertheless, the growing adoption of cloud-based platforms and the proliferation of open-source software are expected to mitigate these challenges. Major players in the market include General Electric, SAS Institute Inc., Google LLC, Advent International Corporation, ESRI Inc., Oracle Corporation, Intermap Technologies Inc., Trimble Inc., Bentley Systems Inc., and Harris Canada Inc. Recent developments include: Febrauray 2023 : Together with its partner Esri Canada, the City of Guelph was chosen as the Canadian city to lead the creation of a new emergency services geographic information system (GIS) database. As Canada implements a modernized Next Generation 9-1-1 (NG9-1-1) emergency response system, this innovative partnership, which received USD 1.017 million in federal grant funding, will support crucial enhancements in public safety in Guelph and throughout the country., June 2022 : Industries require X and Y coordinates for place names in order to locate, map, and evaluate various other forms of valuable geospatial data. Users in a variety of industries want to transform incomplete addresses or place names into intelligence that can be used in real-world situations. Esri, the global leader in location intelligence, has teamed up with real estate data analytics provider LightBox to provide advanced geocoding solutions in Canada to meet this demand. Both ArcGIS Online and ArcGIS Platform users can use the service. The LightBox enhancement will enable more precise geocoding of addresses, subaddresses, and locations with multiple units for rooftop locations.. Key drivers for this market are: Increasing in Demand for Location Intelligence, Advancements of Big Data Analytics. Potential restraints include: High Costs and Operational Concerns, Concerns related to Geoprivacy and Confidential Data. Notable trends are: Network Analysis is Expected to Hold Significant Share of the Market.

  10. a

    Family Health Centers, San Diego County

    • hhubsandiego-ucsdonline.hub.arcgis.com
    Updated Feb 8, 2023
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    University of California San Diego (2023). Family Health Centers, San Diego County [Dataset]. https://hhubsandiego-ucsdonline.hub.arcgis.com/datasets/family-health-centers-san-diego-county-2024
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    Dataset updated
    Feb 8, 2023
    Dataset authored and provided by
    University of California San Diego
    Area covered
    Description

    Locations and health center information was sourced from https://www.fhcsd.org/clinic-location-list/. This list was digitized into a spreadsheet and geolocated using ArcGIS World Geocoding Service. To be hosted by Homelessness Hub at UC San Diego. Data is current to April 2024.

  11. a

    Montana Geographic Names Locator

    • montana-state-library-2022-floods-gis-data-hub-montana.hub.arcgis.com
    • geoenabled-elections-montana.hub.arcgis.com
    Updated Jan 7, 2025
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    Montana Geographic Information (2025). Montana Geographic Names Locator [Dataset]. https://montana-state-library-2022-floods-gis-data-hub-montana.hub.arcgis.com/content/montana::montana-geographic-names-locator/about
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    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Montana Geographic Information
    Area covered
    Description

    This is an Esri geocoding web service based on the Montana Geographic Names Framework. It was published from a "POI Role" based locator constructed in ArcGIS Pro. The POI locator was built using a point feature class with data classified as "Montana" or "Official" for the primary location table. An alternate name table was constructed of names with a designation of "Alternate" or "BGN". ("BGN" designated names indicate contrast between "MT Names" and "Official" U.S. Board on Geographic Names. The name is the official name recognized by the Board on Geographic Names, but the State of Montana believes it is incorrect.) Output location properties are based on the following for the primary table: "Place Join ID " from MT GNIS "GNIS_ID" field, "Place Name" from MT GNIS "Name" field, "Category" classification from MT GNIS "Class" field, "County" (or subregion) from MT GNIS "County" field. Output location properties are based on the following for the alternate name table: "Join ID" from AltName "GNIS_ID" field, "Place Name" from AltName "Name" field. Geolocator was constructed with "Global High" precision type. The geocoding service can be used in ArcGIS or via the REST endpoint. More information on the Montana Geographic Names Framework: https://mslservices.mt.gov/Geographic_Information/Data/DataList/datalist_MetadataDetail.aspx?did={0c57ebe2-f8e8-4d55-b159-ab3202898956}

  12. Open Database of Healthcare Facilities - Canada

    • healthgishub-esricanada.hub.arcgis.com
    Updated Apr 22, 2020
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    Esri Canada - Technology Strategy Group (2020). Open Database of Healthcare Facilities - Canada [Dataset]. https://healthgishub-esricanada.hub.arcgis.com/datasets/esrica-tsg::open-database-of-healthcare-facilities-canada/about
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    Dataset updated
    Apr 22, 2020
    Dataset provided by
    Esri Canada
    Esrihttp://esri.com/
    Authors
    Esri Canada - Technology Strategy Group
    License

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

    Area covered
    Description

    IMPORTANT NOTICE This item has moved to a new organization and will be entering Mature Support in Fall 2025. We encourage you to switch to using the item on the new organization as soon as possible to avoid any disruptions within your workflows. If you have any questions, please feel free to leave a comment below or email our Living Atlas Curator (livingatlascurator@esri.ca) The new version of this item can be found here The Open Database of Healthcare Facilities (ODHF) is a collection of open data containing the names, types, and locations of health facilities across Canada. It is released under the Open Government License - Canada.

    The ODHF compiles open, publicly available, and directly-provided data on health facilities across Canada. Data sources include regional health authorities, provincial, territorial and municipal governments, and public health and professional healthcare bodies. This database aims to provide enhanced access to a harmonized listing of health facilities across Canada by making them available as open data. This database is a component of the Linkable Open Data Environment (LODE).To access the hosted (downloadable) version of the dataset, go to https://services.arcgis.com/zmLUiqh7X11gGV2d/ArcGIS/rest/services/Open_Database_of_Healthcare_Facilities_Canada_(Hosted)/FeatureServer/0Version: 1.1 (May to June 2020)Data sources and methodology

    The inputs for the ODHF are datasets whose sources include regional health authorities, provincial, territorial and municipal governments, and public health and professional healthcare bodies. These datasets were available either under one of the various types of open data licences, e.g., in an open government portal, or as publicly available data. In certain cases, data were obtained directly from administrative sources. Details of the sources used are available in the ODHF metadata.

    The data sources used do not deploy a uniform classification system. The ODHF harmonizes facility type by assigning one of three types to each health facility. This was done based on the facility type provided in the source data as well as using other research carried out for the purpose. The 3 facility types used in the ODHF include:Ambulatory Health Care ServicesHospitalsNursing and Residential Care FacilitiesHowever, alternative medicine (e.g., herbalists) and specialist areas (e.g., chiropractors, dentists, mental health specialists, etc.) are not in scope for the current ODHF version (version 1.1).

    The ODHF does not assert having exhaustive coverage and may not contain all facilities in scope for the current version. While efforts have been made to minimize these, facility type classification and geolocation errors are also possible. While all data are released on the same date, the dates as of which data are current depends on the update dates of the sources used.

    A subset of geo-coordinates available in the source data were validated using the internet and updated as needed. When latitude and longitude were not available, geocoding was performed for some sources using address data in the source. Some coordinates were also removed from the original sources when it was determined they were derived from postal codes or other aggregate geographic areas as opposed to street address.

    Deduplication was done to remove duplicates for cases where sources overlapped in coverage.

    This current version of the database (version 1.1) contains approximately 7,000 records. Data were collected by accessing sources between November 2019 and March 2020 for the initial release, with additional data collected or otherwise updated from May to June 2020 for version 1.1.

    The variables included in the ODHF are as follows:

    Index Facility Name Source Facility Type ODHF Facility Type Provider Unit Street Number Street Name Postal Code City Province or Territory Source-Format Street Address Census Subdivision Name Census Subdivision Unique Identifier Province or Territory Unique Identifier Latitude Longitude

    For more information on how the addresses and variables were compiled, see the metadata that accompanies the ODHF.

    This is a republishing of the data that is freely available from Statistics Canada at https://www.statcan.gc.ca/eng/lode/databases/odhf. Records that did not have a latitude and longitude value (about 484) were geocoded using the Esri World Geocoder. For more information on this data set please review the Statistics Canada metadata document.

    Update Frequency: As needed

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Esri (2012). ArcGIS World Geocoding [Dataset]. https://cityworks-alcogis.opendata.arcgis.com/content/305f2e55e67f4389bef269669fc2e284
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ArcGIS World Geocoding

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134 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Dec 21, 2012
Dataset authored and provided by
Esrihttp://esri.com/
Area covered
World
Description

The ArcGIS World Geocoding Service finds addresses and places in all supported countries around the world in a single geocoding service. The service can find point locations of addresses, cities, landmarks, business names, and other places. The output points can be visualized on a map, inserted as stops for a route, or loaded as input for a spatial analysis.The service is available as both a geosearch and geocoding service:Geosearch Services – The primary purpose of geosearch services is to locate a feature or point of interest and then have the map zoom to that location. The result might be displayed on the map, but the result is not stored in any way for later use. Requests of this type do not require a subscription or a credit fee. Geocoding Services – The primary purpose of geocoding services is to convert an address to an x,y coordinate and append the result to an existing record in a database. Mapping is not always involved, but placing the results on a map may be part of a workflow. Batch geocoding falls into this category. Geocoding requires a subscription. An ArcGIS Online Subscription, or ArcGIS Location Platform Subscription, will provide you access to the ArcGIS World Geocoding service for batch geocoding.The service can be used to find address and places for many countries around the world. For detailed information on this service, including a data coverage map, visit the ArcGIS World Geocoding service documentation.

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