100+ datasets found
  1. U

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

    • data.usgs.gov
    • datasets.ai
    • +1more
    + more versions
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    Elizabeth Neustaedter; Spencer Buteyn; Ji Moon; Loyd Trimmer; Abraham Padilla; Erica Wolfe; Elisa Fierro; Philip Freeman; Michael Trippi; Keita Decarlo; Ryan Kemna; Karine Renaud; Lauren Agyepong; Zahra Jafari; Donya Otarod; Connie Dicken; Jane Hammarstrom, Compilation of Geospatial Data (GIS) for the Mineral Industries and Related Infrastructure of the People's Republic of China [Dataset]. http://doi.org/10.5066/P9HK2K8I
    Explore at:
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Elizabeth Neustaedter; Spencer Buteyn; Ji Moon; Loyd Trimmer; Abraham Padilla; Erica Wolfe; Elisa Fierro; Philip Freeman; Michael Trippi; Keita Decarlo; Ryan Kemna; Karine Renaud; Lauren Agyepong; Zahra Jafari; Donya Otarod; Connie Dicken; Jane Hammarstrom
    License

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

    Time period covered
    Sep 30, 2022
    Area covered
    China
    Description

    The U.S. Geological Survey (USGS) has compiled a geodatabase containing mineral-related geospatial data for the People's Republic of China. 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 feature classes from USGS, foreign governmental, and open-source sources as follows: (1) mineral production and processing facili ...

  2. H

    GIS Data Layers

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Sep 27, 2016
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    Harvard Planning & Project Management (HPPM) (2016). GIS Data Layers [Dataset]. http://doi.org/10.7910/DVN/CKYCHU
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 27, 2016
    Dataset provided by
    Harvard Dataverse
    Authors
    Harvard Planning & Project Management (HPPM)
    License

    https://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/CKYCHUhttps://dataverse.harvard.edu/api/datasets/:persistentId/versions/1.0/customlicense?persistentId=doi:10.7910/DVN/CKYCHU

    Description

    The GIS data maintained by HPPM includes information on buildings and grounds related to Harvard University. Our "standard" base layers are available to Harvard affiliates and their service providers (for example, architects) working on Harvard projects in AutoCAD DWG, ESRI SHP or File Geodatabase format. Additional datasets are sometimes available by special arrangement. http://home.hppm.harvard.edu/pages/gis-data-layers

  3. G

    Geographic Information System (GIS) Services Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 24, 2025
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    Data Insights Market (2025). Geographic Information System (GIS) Services Report [Dataset]. https://www.datainsightsmarket.com/reports/geographic-information-system-gis-services-1978478
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Apr 24, 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
    Global
    Variables measured
    Market Size
    Description

    The booming GIS Services market, projected to reach $27.8 billion by 2033 with an 8% CAGR, is transforming industries. Learn about key trends, applications (environmental, utilities, infrastructure), and leading companies shaping this dynamic sector. Explore regional market shares and growth forecasts for North America, Europe, and Asia Pacific.

  4. G

    Geographic Information System (GIS) Services Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 9, 2025
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    Archive Market Research (2025). Geographic Information System (GIS) Services Report [Dataset]. https://www.archivemarketresearch.com/reports/geographic-information-system-gis-services-54697
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Mar 9, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

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

    Discover the booming Geographic Information System (GIS) Services market! Explore its $15 Billion (2025 est.) size, 8% CAGR, key drivers, trends, and leading companies. Learn about regional market share and future growth projections in this in-depth analysis.

  5. 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
    Explore at:
    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
    Asia, West 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 ...

  6. T

    Infrastructure Project Location (pts)

    • internal.open.piercecountywa.gov
    • open.piercecountywa.gov
    • +2more
    Updated Nov 15, 2024
    + more versions
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    (2024). Infrastructure Project Location (pts) [Dataset]. https://internal.open.piercecountywa.gov/dataset/Infrastructure-Project-Location-pts-/tpmf-wa8s
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    xlsx, xml, kml, kmz, csv, application/geo+jsonAvailable download formats
    Dataset updated
    Nov 15, 2024
    Description

    Infrastructure projects are compiled from the capital improvement plans for Transportation, Airport & Ferry, Surface Water Management, and Sewers. Programs (chipseal, paving, guardrail) are not displayed. Project location, scope, and schedule are subject to change. Please read metadata for additional information(https://matterhorn.piercecountywa.gov/GISmetadata/pdbpubw_improvement_project_points.html). Any data download constitutes acceptance of the Terms of Use (https://matterhorn.piercecountywa.gov/Disclaimer/PierceCountyGISDataTermsofUse.pdf).

  7. a

    Infrastructure 1:63,360

    • gis.data.alaska.gov
    • hub.arcgis.com
    • +1more
    Updated Jan 1, 2006
    + more versions
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    Alaska Department of Natural Resources ArcGIS Online (2006). Infrastructure 1:63,360 [Dataset]. https://gis.data.alaska.gov/maps/e76515edf9194ea59e25f807248c182c
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    Dataset updated
    Jan 1, 2006
    Dataset authored and provided by
    Alaska Department of Natural Resources ArcGIS Online
    Area covered
    Description

    This data depicts infrastructure locations in Alaska as digitized primarily from 1:24,000, 1:63,360, and 1:250,000 USGS quadrangles.

    The source document that represented the newest information and best geographic location was used to capture the data. All infrastructure from the primary source document was digitized and then supplemented with the information from other source documents for additional or updated infrastructure or attributes.

  8. U

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

    • data.usgs.gov
    • catalog.data.gov
    Updated Aug 13, 2021
    + more versions
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    Abraham Padilla; Donya Otarod; Sidney Deloach-Overton; Ryan Kemna; Philip Freeman; Erica Wolfe; Laurence Bird; Andrew Gulley; Michael Trippi; Connie Dicken; Jane Hammarstrom; Amanda Brioche (2021). Compilation of Geospatial Data (GIS) for the Mineral Industries and Related Infrastructure of Africa [Dataset]. http://doi.org/10.5066/P97EQWXP
    Explore at:
    Dataset updated
    Aug 13, 2021
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    Abraham Padilla; Donya Otarod; Sidney Deloach-Overton; Ryan Kemna; Philip Freeman; Erica Wolfe; Laurence Bird; Andrew Gulley; Michael Trippi; Connie Dicken; Jane Hammarstrom; Amanda Brioche
    License

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

    Time period covered
    2008 - 2019
    Area covered
    Africa
    Description

    This geodatabase reflects the U.S. Geological Survey’s (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 in Africa. The geodatabase and geospatial data layers serve to create a new geographic information product in the form of a geospatial portable document format (PDF) map. The geodatabase contains data layers from USGS, foreign governmental, and open-source sources as follows: (1) mineral production and processing facilities, (2) mineral exploration and development sites, (3) mineral occurrence sites and deposits, (4) undiscovered mineral resource tracts for Gabon and Mauritania, (5) undiscovered mineral resource tracts for potash, platinum-group elements, and copper, (6) coal occurrence areas, (7) electric po ...

  9. R

    Equipment GIS Mapping for Facilities Market Research Report 2033

    • researchintelo.com
    csv, pdf, pptx
    Updated Oct 1, 2025
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    Research Intelo (2025). Equipment GIS Mapping for Facilities Market Research Report 2033 [Dataset]. https://researchintelo.com/report/equipment-gis-mapping-for-facilities-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    Research Intelo
    License

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

    Time period covered
    2024 - 2033
    Area covered
    Global
    Description

    Equipment GIS Mapping for Facilities Market Outlook



    According to our latest research, the Global Equipment GIS Mapping for Facilities market size was valued at $1.6 billion in 2024 and is projected to reach $4.3 billion by 2033, expanding at a CAGR of 11.5% during 2024–2033. The primary factor fueling this robust growth is the increasing demand for advanced geospatial analytics across facility management sectors, driven by the need for real-time asset tracking, efficient resource allocation, and predictive maintenance capabilities. Organizations across industries are realizing the value of integrating Geographic Information Systems (GIS) with facility equipment mapping to optimize operational workflows, reduce downtime, and enhance decision-making. This market is also witnessing accelerated adoption due to digital transformation initiatives and the growing reliance on data-driven insights for managing complex facility infrastructures globally.



    Regional Outlook



    North America currently holds the largest share of the Equipment GIS Mapping for Facilities market, accounting for approximately 38% of global revenue in 2024. The region’s dominance is attributed to its mature technology landscape, widespread adoption of advanced facility management solutions, and strong presence of leading GIS software vendors. Regulatory mandates for safety, sustainability, and asset transparency in sectors such as healthcare, education, and utilities further amplify the demand for GIS mapping technologies. Additionally, substantial investments in smart building solutions and the integration of IoT with GIS platforms have positioned North America as a pioneer in this space. The region benefits from robust IT infrastructure, high digital literacy, and supportive public policies, all of which contribute to rapid market expansion and innovation.



    The Asia Pacific region is expected to witness the fastest growth in the Equipment GIS Mapping for Facilities market, with a projected CAGR of 14.2% from 2024 to 2033. This growth is primarily driven by rapid urbanization, infrastructure modernization projects, and increased government focus on smart city initiatives. Countries such as China, India, Japan, and South Korea are investing heavily in digital infrastructure and public utilities, driving the adoption of GIS-based facility mapping solutions. The proliferation of cloud-based GIS platforms and mobile mapping applications is making these technologies more accessible to a broader range of end-users. Furthermore, rising awareness of the operational efficiencies and cost savings offered by GIS mapping is encouraging both public and private sector organizations to invest in these solutions, fueling robust regional growth.



    Emerging economies in Latin America and the Middle East & Africa are gradually embracing Equipment GIS Mapping for Facilities, albeit at a slower pace due to infrastructural and economic constraints. Adoption in these regions is often hampered by limited access to advanced IT infrastructure, budgetary limitations, and a shortage of skilled GIS professionals. However, localized demand is increasing, particularly in sectors such as utilities, transportation, and government, where the need for efficient asset management and infrastructure planning is critical. Policy reforms, international aid, and public-private partnerships are beginning to address these challenges, creating new opportunities for market penetration. As digital transformation accelerates and awareness of GIS benefits grows, these regions are expected to contribute more significantly to the global market in the coming years.



    Report Scope





    Attributes Details
    Report Title Equipment GIS Mapping for Facilities Market Research Report 2033
    By Component Software, Hardware, Services
    By Application Asset Management, Facility Management, Infrastructure Planning, Maintenance, Others
    &

  10. d

    A Study into Green Infrastructure Design using GIS in Austin, Texas

    • search.dataone.org
    • hydroshare.org
    Updated Dec 5, 2021
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    Clint Smith (2021). A Study into Green Infrastructure Design using GIS in Austin, Texas [Dataset]. https://search.dataone.org/view/sha256%3Ab52667a12fac483bc6aaf09ce9fc91e0c06c61ebfb3a21133b0b8ea2bb0c0812
    Explore at:
    Dataset updated
    Dec 5, 2021
    Dataset provided by
    Hydroshare
    Authors
    Clint Smith
    Area covered
    Austin, Texas
    Description

    This Hydroshare resource proposes the idea of designing green infrastructure, specifically rain gardens, in Austin, Texas using a GIS.

  11. a

    HIFLD Infrastructure Government SAMPLE Layers

    • hub.arcgis.com
    Updated Apr 3, 2019
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    NAPSG Foundation (2019). HIFLD Infrastructure Government SAMPLE Layers [Dataset]. https://hub.arcgis.com/maps/000ca6043c4e4b8ab41762720a0b4de3
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    Dataset updated
    Apr 3, 2019
    Dataset authored and provided by
    NAPSG Foundation
    Area covered
    Description

    This is a feature service that contains HILFD data schema showing goverment features

  12. a

    Infrastructure Boundaries

    • gis-monomammoth.opendata.arcgis.com
    • hub.arcgis.com
    Updated Mar 7, 2018
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    Mono County & the Town of Mammoth Lakes, CA (2018). Infrastructure Boundaries [Dataset]. https://gis-monomammoth.opendata.arcgis.com/datasets/infrastructure-boundaries
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    Dataset updated
    Mar 7, 2018
    Dataset authored and provided by
    Mono County & the Town of Mammoth Lakes, CA
    License

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

    Area covered
    Description

    This dataset shows infrastructure boundaries within Mono County, CA.

  13. n

    China Dimensions Data Collection: Fundamental GIS: Digital Chart of China,...

    • earthdata.nasa.gov
    • data.nasa.gov
    • +2more
    Updated Sep 30, 1996
    + more versions
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    ESDIS (1996). China Dimensions Data Collection: Fundamental GIS: Digital Chart of China, 1:1M, Version 1 [Dataset]. http://doi.org/10.7927/H4QC01D2
    Explore at:
    Dataset updated
    Sep 30, 1996
    Dataset authored and provided by
    ESDIS
    Area covered
    China
    Description

    The Fundamental GIS: Digital Chart of China, 1:1M, Version 1 consists of vector maps of China and surrounding areas. The maps include roads, railroads, drainage systems, contours, populated places, and urbanized areas for China proper, as well as for China and neighboring countries. The maps are at a scale of one to one million (1:1M).

    This data set is produced in collaboration with the University of Washington as part of the China in Time and Space (CITAS) project and the Columbia University Center for International Earth Science Information Network (CIESIN).

  14. G

    Geographic Information System (GIS) Asset Locations

    • gomask.ai
    csv, json
    Updated Nov 20, 2025
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    GoMask.ai (2025). Geographic Information System (GIS) Asset Locations [Dataset]. https://gomask.ai/marketplace/datasets/geographic-information-system-gis-asset-locations
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    json, csv(10 MB)Available download formats
    Dataset updated
    Nov 20, 2025
    Dataset provided by
    GoMask.ai
    License

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

    Time period covered
    2024 - 2025
    Area covered
    Global
    Variables measured
    status, asset_id, latitude, longitude, asset_type, address_city, address_state, address_street, outage_zone_id, address_country, and 8 more
    Description

    This dataset provides detailed geospatial and operational information for utility assets such as poles, towers, underground cables, manholes, and pad-mounted equipment. It enables precise mapping, network connectivity analysis, and outage management planning for utility infrastructure, supporting both operational efficiency and strategic decision-making.

  15. a

    Infrastructure Buildings

    • hub.arcgis.com
    • gis.data.alaska.gov
    • +4more
    Updated Jul 16, 2016
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    Matanuska-Susitna Borough (2016). Infrastructure Buildings [Dataset]. https://hub.arcgis.com/maps/MSB::infrastructure-buildings
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    Dataset updated
    Jul 16, 2016
    Dataset authored and provided by
    Matanuska-Susitna Borough
    Area covered
    Description

    Building footprints from the 2011 LiDAR project. Includes outlines of buildings with an area of 40 square feet or greater. Automated classification of buildings performed using TerraScan. Manual cleanup of building classification was then carried out within point cloud data using TerraScan or LP360. Building footprints were digitized automatically using the LP360 building extraction feature. Footprints cleaned up manually using ArcGIS.This dataset is static and has not been edited since its original delivery.

  16. d

    Ministry of Land, Infrastructure and Transport_GIS Building Integrated...

    • data.go.kr
    json+xml
    Updated Jul 1, 2025
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    (2025). Ministry of Land, Infrastructure and Transport_GIS Building Integrated Information (WMS/WFS) [Dataset]. https://www.data.go.kr/en/data/15123970/openapi.do
    Explore at:
    json+xmlAvailable download formats
    Dataset updated
    Jul 1, 2025
    License

    https://data.go.kr/ugs/selectPortalPolicyView.dohttps://data.go.kr/ugs/selectPortalPolicyView.do

    Description

    Based on continuous geographic information, building spatial information and building register attribute information of the architectural administration system (Seumteo) are integrated into a building unit, and when called with RestAPI, spatial information data such as building integrated information based on space (land) are returned in json/xml format.

  17. Urban Road Network Data

    • figshare.com
    • resodate.org
    zip
    Updated May 30, 2023
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    Urban Road Networks (2023). Urban Road Network Data [Dataset]. http://doi.org/10.6084/m9.figshare.2061897.v1
    Explore at:
    zipAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Urban Road Networks
    License

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

    Description

    Tool and data set of road networks for 80 of the most populated urban areas in the world. The data consist of a graph edge list for each city and two corresponding GIS shapefiles (i.e., links and nodes).Make your own data with our ArcGIS, QGIS, and python tools available at: http://csun.uic.edu/codes/GISF2E.htmlPlease cite: Karduni,A., Kermanshah, A., and Derrible, S., 2016, "A protocol to convert spatial polyline data to network formats and applications to world urban road networks", Scientific Data, 3:160046, Available at http://www.nature.com/articles/sdata201646

  18. a

    Monorail Infrastructure Buffer

    • data-seattlecitygis.opendata.arcgis.com
    • data.seattle.gov
    • +1more
    Updated Dec 22, 2023
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    City of Seattle ArcGIS Online (2023). Monorail Infrastructure Buffer [Dataset]. https://data-seattlecitygis.opendata.arcgis.com/datasets/SeattleCityGIS::monorail-infrastructure-buffer
    Explore at:
    Dataset updated
    Dec 22, 2023
    Dataset authored and provided by
    City of Seattle ArcGIS Online
    Area covered
    Description

    Displays monorail infrastructure buffer set at 14 feet. The data is maintained by Seattle Department of Transportation.Feature Class: Monorail_Poly_14ftBuffRefresh Cycle: Manually refreshed as required.

  19. g

    GLA GIS Team - Green Infrastructure Focus Map | gimi9.com

    • gimi9.com
    Updated Jun 12, 2024
    + more versions
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    (2024). GLA GIS Team - Green Infrastructure Focus Map | gimi9.com [Dataset]. https://gimi9.com/dataset/london_green-infrastructure-focus-map/
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    Dataset updated
    Jun 12, 2024
    Description

    The Green Infrastructure Focus Map is a new tool and evidence base to help London’s decision-makers identify where green infrastructure improvements and investments might be best targeted, and what kind of interventions might be most useful for the needs of a specific area. The Green Infrastructure Focus Map can help: identify where there is more need or less need for green infrastructure interventions describe which specific environmental or social issues have the greatest need for intervention in a particular location highlight other issues that green infrastructure can’t necessarily help with, but that are useful context for decision making (e.g. income deprivation) Please contact environment@london.gov.uk with any queries or feedback. Data and analysis from GLA GIS Team form a basis for the policy and investment decisions facing the Mayor of London and the GLA group. GLA Intelligence uses a wide range of information and data sourced from third party suppliers within its analysis and reports. GLA Intelligence cannot be held responsible for the accuracy or timeliness of this information and data. The GLA will not be liable for any losses suffered or liabilities incurred by a party as a result of that party relying in any way on the information contained in this report.

  20. G

    Geographic Information System(GIS) Solutions Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 15, 2025
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    Data Insights Market (2025). Geographic Information System(GIS) Solutions Report [Dataset]. https://www.datainsightsmarket.com/reports/geographic-information-systemgis-solutions-539606
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Apr 15, 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
    Global
    Variables measured
    Market Size
    Description

    The Geographic Information System (GIS) Solutions market is experiencing robust growth, driven by increasing adoption across diverse sectors. The market, estimated at $15 billion in 2025, is projected to expand significantly over the forecast period (2025-2033), fueled by a Compound Annual Growth Rate (CAGR) of approximately 8%. This growth is attributed to several key factors. Firstly, the rising need for precise spatial data analysis and visualization across industries like agriculture (precision farming), oil & gas (resource exploration and management), and construction (infrastructure planning and development) is driving demand. Secondly, advancements in GIS software and services, including cloud-based solutions and AI-powered analytics, are enhancing efficiency and accessibility. Thirdly, government initiatives promoting smart cities and infrastructure development are further boosting market expansion. The market is segmented by application (Agriculture, Oil & Gas, AEC, Transportation, Mining, Government, Healthcare, Others) and type (Software, Services), with software solutions currently holding a larger market share due to increasing digitization and data-driven decision-making. North America and Europe are currently the leading regional markets, benefiting from established infrastructure and high technology adoption rates, but Asia-Pacific is poised for significant growth driven by rapid urbanization and infrastructure development. Despite the promising growth trajectory, certain challenges remain. High initial investment costs for GIS software and implementation can be a barrier to entry for smaller businesses. Furthermore, the need for skilled professionals to effectively utilize and manage GIS data poses a considerable constraint. However, the ongoing development of user-friendly interfaces and accessible training programs is mitigating this issue. The competitive landscape is characterized by a mix of established players like ESRI, Hexagon, and Pitney Bowes, alongside emerging technology providers. These companies are actively investing in R&D and strategic partnerships to maintain their competitive edge and capitalize on the market's expansion. The long-term outlook for the GIS solutions market remains positive, with continuous innovation and expanding applications across various sectors paving the way for sustained growth throughout the forecast period.

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Elizabeth Neustaedter; Spencer Buteyn; Ji Moon; Loyd Trimmer; Abraham Padilla; Erica Wolfe; Elisa Fierro; Philip Freeman; Michael Trippi; Keita Decarlo; Ryan Kemna; Karine Renaud; Lauren Agyepong; Zahra Jafari; Donya Otarod; Connie Dicken; Jane Hammarstrom, Compilation of Geospatial Data (GIS) for the Mineral Industries and Related Infrastructure of the People's Republic of China [Dataset]. http://doi.org/10.5066/P9HK2K8I

Compilation of Geospatial Data (GIS) for the Mineral Industries and Related Infrastructure of the People's Republic of China

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset provided by
United States Geological Surveyhttp://www.usgs.gov/
Authors
Elizabeth Neustaedter; Spencer Buteyn; Ji Moon; Loyd Trimmer; Abraham Padilla; Erica Wolfe; Elisa Fierro; Philip Freeman; Michael Trippi; Keita Decarlo; Ryan Kemna; Karine Renaud; Lauren Agyepong; Zahra Jafari; Donya Otarod; Connie Dicken; Jane Hammarstrom
License

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

Time period covered
Sep 30, 2022
Area covered
China
Description

The U.S. Geological Survey (USGS) has compiled a geodatabase containing mineral-related geospatial data for the People's Republic of China. 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 feature classes from USGS, foreign governmental, and open-source sources as follows: (1) mineral production and processing facili ...

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