100+ datasets found
  1. GIS Data Object Publishing instructions

    • catalog.data.gov
    • s.cnmilf.com
    Updated Sep 19, 2025
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    Social Security Administration (2025). GIS Data Object Publishing instructions [Dataset]. https://catalog.data.gov/dataset/gis-data-object-publishing-instructions
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    Dataset updated
    Sep 19, 2025
    Dataset provided by
    Social Security Administrationhttp://ssa.gov/
    Description

    Expands the use of internal data for creating Geographic Information System (GIS) maps. SSA's Database Systems division developed a map users guide for GIS data object publishing and was made available in an internal Sharepoint site for access throughout the agency. The guide acts as the reference for publishers of GIS objects across the life-cycle in our single, central geodatabase implementation.

  2. D

    GIS Data Management Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). GIS Data Management Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-gis-data-management-market
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    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    GIS Data Management Market Outlook



    The global GIS Data Management market size is projected to grow from USD 12.5 billion in 2023 to USD 25.6 billion by 2032, exhibiting a CAGR of 8.4% during the forecast period. This impressive growth is driven by the increasing adoption of geographic information systems (GIS) across various sectors such as urban planning, disaster management, and agriculture. The rising need for effective data management systems to handle the vast amounts of spatial data generated daily also significantly contributes to the market's expansion.



    One of the primary growth factors for the GIS Data Management market is the burgeoning demand for spatial data analytics. Businesses and governments are increasingly leveraging GIS data to make informed decisions and strategize operational efficiencies. With the rapid urbanization and industrialization worldwide, there's an unprecedented need to manage and analyze geographic data to plan infrastructure, monitor environmental changes, and optimize resource allocation. Consequently, the integration of GIS with advanced technologies like artificial intelligence and machine learning is becoming more prominent, further fueling market growth.



    Another significant factor propelling the market is the advancement in GIS technology itself. The development of sophisticated software and hardware solutions for GIS data management is making it easier for organizations to capture, store, analyze, and visualize geographic data. Innovations such as 3D GIS, real-time data processing, and cloud-based GIS solutions are transforming the landscape of geographic data management. These advancements are not only enhancing the capabilities of GIS systems but also making them more accessible to a broader range of users, from small enterprises to large governmental agencies.



    The growing implementation of GIS in disaster management and emergency response activities is also a critical factor driving market growth. GIS systems play a crucial role in disaster preparedness, response, and recovery by providing accurate and timely geographic data. This data helps in assessing risks, coordinating response activities, and planning resource deployment. With the increasing frequency and intensity of natural disasters, the reliance on GIS data management systems is expected to grow, resulting in higher demand for GIS solutions across the globe.



    Geospatial Solutions are becoming increasingly integral to the GIS Data Management landscape, offering enhanced capabilities for spatial data analysis and visualization. These solutions provide a comprehensive framework for integrating various data sources, enabling users to gain deeper insights into geographic patterns and trends. As organizations strive to optimize their operations and decision-making processes, the demand for robust geospatial solutions is on the rise. These solutions not only facilitate the efficient management of spatial data but also support advanced analytics and real-time data processing. By leveraging geospatial solutions, businesses and governments can improve their strategic planning, resource allocation, and environmental monitoring efforts, thereby driving the overall growth of the GIS Data Management market.



    Regionally, North America holds a significant share of the GIS Data Management market, driven by high technology adoption rates and substantial investments in GIS technologies by government and private sectors. However, Asia Pacific is anticipated to witness the highest growth rate during the forecast period. The rapid urbanization, economic development, and increasing adoption of advanced technologies in countries like China and India are major contributors to this growth. Governments in this region are also focusing on smart city projects and infrastructure development, which further boosts the demand for GIS data management solutions.



    Component Analysis



    The GIS Data Management market is segmented by component into software, hardware, and services. The software segment is the largest and fastest-growing segment, driven by the continuous advancements in GIS software capabilities. GIS software applications enable users to analyze spatial data, create maps, and manage geographic information efficiently. The integration of GIS software with other enterprise systems and the development of user-friendly interfaces are key factors propelling the growth of this segment. Furthermore, the rise of mobile GIS applications, which allow field data collectio

  3. H

    AReNA’s DHS-GIS Database

    • dataverse.harvard.edu
    Updated Feb 23, 2021
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    International Food Policy Research Institute (IFPRI) (2021). AReNA’s DHS-GIS Database [Dataset]. http://doi.org/10.7910/DVN/OQIPRW
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Feb 23, 2021
    Dataset provided by
    Harvard Dataverse
    Authors
    International Food Policy Research Institute (IFPRI)
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.7910/DVN/OQIPRWhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.1/customlicense?persistentId=doi:10.7910/DVN/OQIPRW

    Time period covered
    1980 - 2019
    Area covered
    Myanmar, Nigeria, Rwanda, Lesotho, Bangladesh, Mali, Burundi, Kenya, Nepal, Benin
    Dataset funded by
    The Bill & Melinda Gates Foundation
    Description

    Advancing Research on Nutrition and Agriculture (AReNA) is a 6-year, multi-country project in South Asia and sub-Saharan Africa funded by the Bill and Melinda Gates Foundation, being implemented from 2015 through 2020. The objective of AReNA is to close important knowledge gaps on the links between nutrition and agriculture, with a particular focus on conducting policy-relevant research at scale and crowding in more research on this issue by creating data sets and analytical tools that can benefit the broader research community. Much of the research on agriculture and nutrition is hindered by a lack of data, and many of the datasets that do contain both agriculture and nutrition information are often small in size and geographic scope. AReNA team constructed a large multi-level, multi-country dataset combining nutrition and nutrition-relevant information at the individual and household level from the Demographic and Health Surveys (DHS) with a wide variety of geo-referenced data on agricultural production, agroecology, climate, demography, and infrastructure (GIS data). This dataset includes 60 countries, 184 DHS, and 122,473 clusters. Over one thousand geospatial variables are linked with DHS. The entire dataset is organized into 13 individual files: DHS_distance, DHS_livestock, DHS_main, DHS_malaria, DHS NDVI, DHS_nightlight, DHS_pasture and climate (mean), DHS_rainfall, DHS_soil, DHS_SPAM, DHS_suit, DHS_temperature, and DHS_traveltime.

  4. H

    GIS database

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Jul 12, 2023
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    Nang Tin Win (2023). GIS database [Dataset]. http://doi.org/10.7910/DVN/TV7J27
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jul 12, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Nang Tin Win
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.7910/DVN/TV7J27https://dataverse.harvard.edu/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.7910/DVN/TV7J27

    Time period covered
    Oct 1, 2020 - Sep 30, 2022
    Area covered
    Myanmar (Burma)
    Dataset funded by
    United States Agency for International Developmenthttp://usaid.gov/
    Description

    It is about updating to GIS information database, Decision Support Tool (DST) in collaboration with IWMI. With the support of the Fish for Livelihoods field team and IPs (MFF, BRAC Myanmar, PACT Myanmar, and KMSS) staff, collection of Global Positioning System GPS location data for year-1 (2019-20) 1,167 SSA farmer ponds, and year-2 (2020-21) 1,485 SSA farmer ponds were completed with different GPS mobile applications: My GPS Coordinates, GPS Status & Toolbox, GPS Essentials, Smart GPS Coordinates Locator and GPS Coordinates. The Soil and Water Assessment Tool (SWAT) model that integrates climate change analysis with water availability will provide an important tool informing decisions on scaling pond adoption. It can also contribute to a Decision Support Tool to better target pond scaling. GIS Data also contribute to identify the location point of the F4L SSA farmers ponds on the Myanmar Map by fiscal year from 1 to 5.

  5. a

    GIS Data Sources

    • hub.arcgis.com
    Updated Apr 2, 2024
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    King County (2024). GIS Data Sources [Dataset]. https://hub.arcgis.com/documents/kingcounty::gis-data-sources?uiVersion=content-views
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    Dataset updated
    Apr 2, 2024
    Dataset authored and provided by
    King County
    Area covered
    Description

    This page is an index of all the data sources that the GIS Center has to offer. If you're looking for anything, you'll find it here!

  6. USACE GIS Open Data Portal

    • data.cnra.ca.gov
    Updated Jul 18, 2020
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    United States Army Corps of Engineers (2020). USACE GIS Open Data Portal [Dataset]. https://data.cnra.ca.gov/dataset/usace-gis-open-data-portal
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    Dataset updated
    Jul 18, 2020
    Dataset authored and provided by
    United States Army Corps of Engineershttp://www.usace.army.mil/
    Description

    The U.S. Army Corps of Engineers Geospatial Open Data provides shared and trusted USACE geospatial data, services and applications for use by our partner agencies and the public.

  7. a

    How to download GIS data using filtering tools

    • data-monmouthnj.hub.arcgis.com
    Updated Jul 28, 2022
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    Monmouth County NJ GIS (2022). How to download GIS data using filtering tools [Dataset]. https://data-monmouthnj.hub.arcgis.com/documents/82c62feaeca4456e95a2028586af083f
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    Dataset updated
    Jul 28, 2022
    Dataset authored and provided by
    Monmouth County NJ GIS
    Description

    Esri's ArcGIS Online tools provide three methods of filtering larger datasets using attribute or geospatial information that are a part of each individual dataset. These instructions provide a basic overview of the step a GeoHub end user can take to filter out unnecessary data or to specifically hone in a particular location to find data related to this location and download the specific information filtered through the search bar, as seen on the map or using the attribute filters in the Data tab.

  8. S

    How to Use GIS Open Data Portal

    • data.sanjoseca.gov
    html
    Updated Oct 6, 2020
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    Enterprise GIS (2020). How to Use GIS Open Data Portal [Dataset]. https://data.sanjoseca.gov/dataset/how-to-use-gis-open-data-portal
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    htmlAvailable download formats
    Dataset updated
    Oct 6, 2020
    Dataset provided by
    City of San José
    Authors
    Enterprise GIS
    License

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

    Description

    This page contains the help documentation for the GIS Open Data Portal. Refer to https://gisdata-csj.opendata.arcgis.com/pages/help.

  9. Focus on Geodatabases in ArcGIS Pro

    • dados-edu-pt.hub.arcgis.com
    Updated Aug 13, 2020
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    Esri Portugal - Educação (2020). Focus on Geodatabases in ArcGIS Pro [Dataset]. https://dados-edu-pt.hub.arcgis.com/datasets/focus-on-geodatabases-in-arcgis-pro
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    Dataset updated
    Aug 13, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Portugal - Educação
    License

    Attribution-NonCommercial-ShareAlike 3.0 (CC BY-NC-SA 3.0)https://creativecommons.org/licenses/by-nc-sa/3.0/
    License information was derived automatically

    Description

    Focus on Geodatabases in ArcGIS Pro introduces readers to the geodatabase, the comprehensive information model for representing and managing geographic information across the ArcGIS platform.Sharing best practices for creating and maintaining data integrity, chapter topics include the careful design of a geodatabase schema, building geodatabases that include data integrity rules, populating geodatabases with existing data, working with topologies, editing data using various techniques, building 3D views, and sharing data on the web. Each chapter includes important concepts with hands-on, step-by-step tutorials, sample projects and datasets, 'Your turn' segments with less instruction, study questions for classroom use, and an independent project. Instructor resources are available by request.AUDIENCEProfessional and scholarly.AUTHOR BIODavid W. Allen has been working in the GIS field for over 35 years, the last 30 with the City of Euless, Texas, and has seen many versions of ArcInfo and ArcGIS come along since he started with version 5. He spent 18 years as an adjunct professor at Tarrant County College in Fort Worth, Texas, and now serves as the State Director of Operations for a volunteer emergency response group developing databases and templates. Mr. Allen is the author of GIS Tutorial 2: Spatial Analysis Workbook (Esri Press, 2016).Pub Date: Print: 6/17/2019 Digital: 4/29/2019 Format: PaperbackISBN: Print: 9781589484450 Digital: 9781589484467 Trim: 7.5 x 9.25 in.Price: Print: $59.99 USD Digital: $59.99 USD Pages: 260

  10. V

    Rural & Statewide GIS/Data Needs (HEPGIS) - Lead

    • data.virginia.gov
    • data.transportation.gov
    • +1more
    html
    Updated May 8, 2024
    + more versions
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    U.S Department of Transportation (2024). Rural & Statewide GIS/Data Needs (HEPGIS) - Lead [Dataset]. https://data.virginia.gov/dataset/rural-statewide-gis-data-needs-hepgis-lead
    Explore at:
    htmlAvailable download formats
    Dataset updated
    May 8, 2024
    Dataset provided by
    Federal Highway Administration
    Authors
    U.S Department of Transportation
    Description

    HEPGIS is a web-based interactive geographic map server that allows users to navigate and view geo-spatial data, print maps, and obtain data on specific features using only a web browser. It includes geo-spatial data used for transportation planning. HEPGIS previously received ARRA funding for development of Economically distressed Area maps. It is also being used to demonstrate emerging trends to address MPO and statewide planning regulations/requirements , enhanced National Highway System, Primary Freight Networks, commodity flows and safety data . HEPGIS has been used to help implement MAP-21 regulations and will help implement the Grow America Act, particularly related to Ladder of Opportunities and MPO reforms.

  11. U

    Compilation of Geospatial Data (GIS) for the Mineral Industries and Related...

    • data.usgs.gov
    • datasets.ai
    • +1more
    Updated Oct 24, 2023
    + more versions
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    Abraham Padilla; Spencer Buteyn; Elizabeth Neustaedter; Donya Otarod; Erica Wolfe; Philip Freeman; Michael Trippi; Ryan Kemna; Loyd Trimmer; Karine Renaud; Philip Szczesniak; Ji Moon; Jaewon Chung; Connie Dicken; Jane Hammarstrom (2023). Compilation of Geospatial Data (GIS) for the Mineral Industries and Related Infrastructure of Select Countries in Southwest Asia [Dataset]. http://doi.org/10.5066/P9OCRYYO
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    Dataset updated
    Oct 24, 2023
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Abraham Padilla; Spencer Buteyn; Elizabeth Neustaedter; Donya Otarod; Erica Wolfe; Philip Freeman; Michael Trippi; Ryan Kemna; Loyd Trimmer; Karine Renaud; Philip Szczesniak; Ji Moon; Jaewon Chung; Connie Dicken; Jane Hammarstrom
    License

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

    Time period covered
    Sep 30, 2021
    Area covered
    West Asia, Asia
    Description

    The U.S. Geological Survey (USGS) has compiled a geodatabase containing mineral-related geospatial data for 10 countries of interest in Southwest Asia (area of study): Afghanistan, Cambodia, Laos, India, Indonesia, Iran, Nepal, North Korea, Pakistan, and Thailand. The data can be used in analyses of the extractive fuel and nonfuel mineral industries and related economic and physical infrastructure integral for the successful operation of the mineral industries within the area of study as well as the movement of mineral products across domestic and global markets. This geodatabase reflects the USGS ongoing commitment to its mission of understanding the nature and distribution of global mineral commodity supply chains by updating and publishing the georeferenced locations of mineral commodity production and processing facilities, mineral exploration and development sites, and mineral commodity exporting ports for the countries in the area of study. The geodatabase contains data feat ...

  12. f

    GIS database structures

    • datasetcatalog.nlm.nih.gov
    • drs.britishmuseum.org
    Updated Nov 20, 2024
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    Simon, Pedro Rodriguez; González-Ruibal, Alfredo (2024). GIS database structures [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001498007
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    Dataset updated
    Nov 20, 2024
    Authors
    Simon, Pedro Rodriguez; González-Ruibal, Alfredo
    Description

    GIS database with the vector drawings of the structures documented.

  13. V

    Rural & Statewide GIS/Data Needs (HEPGIS) - PM 10

    • data.virginia.gov
    • data.transportation.gov
    • +2more
    html
    Updated May 8, 2024
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    U.S Department of Transportation (2024). Rural & Statewide GIS/Data Needs (HEPGIS) - PM 10 [Dataset]. https://data.virginia.gov/dataset/rural-statewide-gis-data-needs-hepgis-pm-10
    Explore at:
    htmlAvailable download formats
    Dataset updated
    May 8, 2024
    Dataset provided by
    Federal Highway Administration
    Authors
    U.S Department of Transportation
    Description

    HEPGIS is a web-based interactive geographic map server that allows users to navigate and view geo-spatial data, print maps, and obtain data on specific features using only a web browser. It includes geo-spatial data used for transportation planning. HEPGIS previously received ARRA funding for development of Economically distressed Area maps. It is also being used to demonstrate emerging trends to address MPO and statewide planning regulations/requirements , enhanced National Highway System, Primary Freight Networks, commodity flows and safety data . HEPGIS has been used to help implement MAP-21 regulations and will help implement the Grow America Act, particularly related to Ladder of Opportunities and MPO reforms.

  14. d

    GapMaps Live Location Intelligence Platform | GIS Data | Easy-to-use| One...

    • datarade.ai
    .csv
    Updated Aug 14, 2024
    + more versions
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    GapMaps (2024). GapMaps Live Location Intelligence Platform | GIS Data | Easy-to-use| One Login for Global access [Dataset]. https://datarade.ai/data-products/gapmaps-live-location-intelligence-platform-gis-data-easy-gapmaps
    Explore at:
    .csvAvailable download formats
    Dataset updated
    Aug 14, 2024
    Dataset authored and provided by
    GapMaps
    Area covered
    United Arab Emirates, Philippines, Egypt, Saudi Arabia, Kenya, Thailand, United States of America, Taiwan, Malaysia, Nigeria
    Description

    GapMaps Live is an easy-to-use location intelligence platform available across 25 countries globally that allows you to visualise your own store data, combined with the latest demographic, economic and population movement intel right down to the micro level so you can make faster, smarter and surer decisions when planning your network growth strategy.

    With one single login, you can access the latest estimates on resident and worker populations, census metrics (eg. age, income, ethnicity), consuming class, retail spend insights and point-of-interest data across a range of categories including fast food, cafe, fitness, supermarket/grocery and more.

    Some of the world's biggest brands including McDonalds, Subway, Burger King, Anytime Fitness and Dominos use GapMaps Live as a vital strategic tool where business success relies on up-to-date, easy to understand, location intel that can power business case validation and drive rapid decision making.

    Primary Use Cases for GapMaps Live includes:

    1. Retail Site Selection - Identify optimal locations for future expansion and benchmark performance across existing locations.
    2. Customer Profiling: get a detailed understanding of the demographic profile of your customers and where to find more of them.
    3. Analyse your catchment areas at a granular grid levels using all the key metrics
    4. Target Marketing: Develop effective marketing strategies to acquire more customers.
    5. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)
    6. Customer Profiling
    7. Target Marketing
    8. Market Share Analysis

    Some of features our clients love about GapMaps Live include: - View business locations, competitor locations, demographic, economic and social data around your business or selected location - Understand consumer visitation patterns (“where from” and “where to”), frequency of visits, dwell time of visits, profiles of consumers and much more. - Save searched locations and drop pins - Turn on/off all location listings by category - View and filter data by metadata tags, for example hours of operation, contact details, services provided - Combine public data in GapMaps with views of private data Layers - View data in layers to understand impact of different data Sources - Share maps with teams - Generate demographic reports and comparative analyses on different locations based on drive time, walk time or radius. - Access multiple countries and brands with a single logon - Access multiple brands under a parent login - Capture field data such as photos, notes and documents using GapMaps Connect and integrate with GapMaps Live to get detailed insights on existing and proposed store locations.

  15. a

    SMMNA GIS Data Layers

    • hub.arcgis.com
    • geohub.lacity.org
    • +2more
    Updated Feb 3, 2022
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    County of Los Angeles (2022). SMMNA GIS Data Layers [Dataset]. https://hub.arcgis.com/datasets/lacounty::smmna-gis-data-layers
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    Dataset updated
    Feb 3, 2022
    Dataset authored and provided by
    County of Los Angeles
    Description

    These are the main layers that were used in mapping and analysis for the Santa Monica Mountains North Area Plan, which was adopted by the Board of Supervisors on May 4, 2021. Below are some links to important documents and to actually GIS data.Plan Website - This has links to the actual plan, maps and all project related materials. Click here for website.Online Web Mapping Application - This is the online application that shows all of the layers associated with the plan. These are the same layers that will be available for download below. Click here for the web mapping application.GIS Layers - The main GIS layers used in the application are available below.Below is a list of the GIS layers provided (shapefile format):Environmental (Zipped - 4.4 MB - click here)Habitat Connectivity - Essential Connectivity Area (ECA)Vegetation Sensitivity (includes ArcGIS .lyr file for version 10.0 and higher)Scenic Resources (Zipped - 1.3 MB - click here)State-Designated Scenic Highway 200-foot buffer (Please see 'State-Designated Scenic Highway' on our Open Data site here)Scenic RouteScenic Route 200-foot buffer

  16. V

    Rural & Statewide GIS/Data Needs (HEPGIS) - Federal Aid Functional Class

    • data.virginia.gov
    • data.transportation.gov
    • +1more
    html
    Updated May 8, 2024
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    U.S Department of Transportation (2024). Rural & Statewide GIS/Data Needs (HEPGIS) - Federal Aid Functional Class [Dataset]. https://data.virginia.gov/dataset/rural-statewide-gis-data-needs-hepgis-federal-aid-functional-class
    Explore at:
    htmlAvailable download formats
    Dataset updated
    May 8, 2024
    Dataset provided by
    Federal Highway Administration
    Authors
    U.S Department of Transportation
    Description

    HEPGIS is a web-based interactive geographic map server that allows users to navigate and view geo-spatial data, print maps, and obtain data on specific features using only a web browser. It includes geo-spatial data used for transportation planning. HEPGIS previously received ARRA funding for development of Economically distressed Area maps. It is also being used to demonstrate emerging trends to address MPO and statewide planning regulations/requirements , enhanced National Highway System, Primary Freight Networks, commodity flows and safety data . HEPGIS has been used to help implement MAP-21 regulations and will help implement the Grow America Act, particularly related to Ladder of Opportunities and MPO reforms.

  17. d

    State of South Dakota GIS Data

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated May 10, 2025
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    City of Sioux Falls GIS (2025). State of South Dakota GIS Data [Dataset]. https://catalog.data.gov/dataset/state-of-south-dakota-gis-data-4a15c
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    Dataset updated
    May 10, 2025
    Dataset provided by
    City of Sioux Falls GIS
    Area covered
    South Dakota
    Description

    Link to State of South Dakota GIS Data.

  18. V

    Rural & Statewide GIS/Data Needs (HEPGIS) - 8-Hour Ozone

    • data.virginia.gov
    • data.transportation.gov
    • +1more
    html
    Updated May 8, 2024
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    U.S Department of Transportation (2024). Rural & Statewide GIS/Data Needs (HEPGIS) - 8-Hour Ozone [Dataset]. https://data.virginia.gov/dataset/rural-statewide-gis-data-needs-hepgis-8-hour-ozone
    Explore at:
    htmlAvailable download formats
    Dataset updated
    May 8, 2024
    Dataset provided by
    Federal Highway Administration
    Authors
    U.S Department of Transportation
    Description

    HEPGIS is a web-based interactive geographic map server that allows users to navigate and view geo-spatial data, print maps, and obtain data on specific features using only a web browser. It includes geo-spatial data used for transportation planning. HEPGIS previously received ARRA funding for development of Economically distressed Area maps. It is also being used to demonstrate emerging trends to address MPO and statewide planning regulations/requirements , enhanced National Highway System, Primary Freight Networks, commodity flows and safety data . HEPGIS has been used to help implement MAP-21 regulations and will help implement the Grow America Act, particularly related to Ladder of Opportunities and MPO reforms.

  19. Sierra Nevada Conservancy Grants Data Public

    • gis.data.ca.gov
    • hub.arcgis.com
    • +2more
    Updated Aug 4, 2021
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    Sierra Nevada Conservancy (2021). Sierra Nevada Conservancy Grants Data Public [Dataset]. https://gis.data.ca.gov/maps/40f963ee9cb544a182d399fd66eeb0c9
    Explore at:
    Dataset updated
    Aug 4, 2021
    Dataset authored and provided by
    Sierra Nevada Conservancyhttp://www.sierranevadaconservancy.ca.gov/
    Area covered
    Description

    The data contained in this map reflects project location data supplied by SNC grantees for grants awarded by the Sierra Nevada Conservancy. Some implementation projects predate SNC’s current policy, beginning in 2017, to acquire polygons for all new projects. As a result project location data on this map consists of a mixture of both point and polygon grant locations. Additionally, some planning, education, and other grants were region wide. These are only represented by location points provided by the grantee as well. The layers in this map may update as our Governing Board awards new grants.

  20. g

    Gabon GIS Data (2013)

    • data.globalforestwatch.org
    • data.amerigeoss.org
    • +2more
    Updated Sep 17, 2015
    + more versions
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    World Resources Institute (2015). Gabon GIS Data (2013) [Dataset]. https://data.globalforestwatch.org/documents/c1a26e03bb0446e6808bb59be127ad91
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    Dataset updated
    Sep 17, 2015
    Dataset authored and provided by
    World Resources Institute
    License

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

    Area covered
    Description

    This archive contains all spatial data from the 2013 Interactive Forest Atlas of Gabon.

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Social Security Administration (2025). GIS Data Object Publishing instructions [Dataset]. https://catalog.data.gov/dataset/gis-data-object-publishing-instructions
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GIS Data Object Publishing instructions

Explore at:
Dataset updated
Sep 19, 2025
Dataset provided by
Social Security Administrationhttp://ssa.gov/
Description

Expands the use of internal data for creating Geographic Information System (GIS) maps. SSA's Database Systems division developed a map users guide for GIS data object publishing and was made available in an internal Sharepoint site for access throughout the agency. The guide acts as the reference for publishers of GIS objects across the life-cycle in our single, central geodatabase implementation.

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