100+ datasets found
  1. n

    Bhutan Land use planning GIS Database

    • cmr.earthdata.nasa.gov
    Updated Apr 20, 2017
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    (2017). Bhutan Land use planning GIS Database [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1214155400-SCIOPS.html
    Explore at:
    Dataset updated
    Apr 20, 2017
    Time period covered
    Jan 1, 1970 - Present
    Area covered
    Description

    Land cover has been interpreted from Satellite images and field checked, other information has been digitized from topographic maps

     Members informations:
     Attached Vector(s):
      MemberID: 1
     Vector Name: Land use
     Source Map Name: SPOT Pan
     Source Map Scale: 50000
     Source Map Date: 1989/90
     Projection: Polyconic on Modified Everest Ellipsoid
     Feature_type: polygon
     Vector 
     Land use maps, interpreted from SPOT panchromatic imagery and field
     checked (18 classes)
    
     Members informations:
     Attached Vector(s):
      MemberID: 2
     Vector Name: Administrative boundaries
     Source Map Name: topo sheets
     Source Map Scale: 50000
     Source Map Date: ?
     Feature_type: polygon
     Vector 
     Dzongkhags (Districts) and Gewogs
    
     Members informations:
     Attached Vector(s):
      MemberID: 3
     Vector Name: Roads
     Source Map Name: topo sheets
     Source Map Scale: 50000
     Source Map Date: ?
     Feature_type: lines
     Vector 
     Road network
    
     Attached Report(s)
     Member ID: 4
     Report Name: Atlas of Bhutan
     Report Authors: Land use planning section
     Report Publisher: Ministry of Agriculture, Thimpu
     Report Date: 1997-06-01
     Report 
     Land cover (1:250000) and area statistics of 20 Dzongkhags
    
  2. Geographic Information System Analytics Market Analysis, Size, and Forecast...

    • technavio.com
    pdf
    Updated Jul 22, 2024
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    Technavio (2024). Geographic Information System Analytics Market Analysis, Size, and Forecast 2024-2028: North America (US and Canada), Europe (France, Germany, UK), APAC (China, India, South Korea), Middle East and Africa , and South America [Dataset]. https://www.technavio.com/report/geographic-information-system-analytics-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Jul 22, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2024 - 2028
    Area covered
    Canada, United States
    Description

    Snapshot img

    Geographic Information System Analytics Market Size 2024-2028

    The geographic information system analytics market size is forecast to increase by USD 12 billion at a CAGR of 12.41% between 2023 and 2028.

    The GIS Analytics Market analysis is experiencing significant growth, driven by the increasing need for efficient land management and emerging methods in data collection and generation. The defense industry's reliance on geospatial technology for situational awareness and real-time location monitoring is a major factor fueling market expansion. Additionally, the oil and gas industry's adoption of GIS for resource exploration and management is a key trend. Building Information Modeling (BIM) and smart city initiatives are also contributing to market growth, as they require multiple layered maps for effective planning and implementation. The Internet of Things (IoT) and Software as a Service (SaaS) are transforming GIS analytics by enabling real-time data processing and analysis.
    Augmented reality is another emerging trend, as it enhances the user experience and provides valuable insights through visual overlays. Overall, heavy investments are required for setting up GIS stations and accessing data sources, making this a promising market for technology innovators and investors alike.
    

    What will be the Size of the GIS Analytics Market during the forecast period?

    Request Free Sample

    The geographic information system analytics market encompasses various industries, including government sectors, agriculture, and infrastructure development. Smart city projects, building information modeling, and infrastructure development are key areas driving market growth. Spatial data plays a crucial role in sectors such as transportation, mining, and oil and gas. Cloud technology is transforming GIS analytics by enabling real-time data access and analysis. Startups are disrupting traditional GIS markets with innovative location-based services and smart city planning solutions. Infrastructure development in sectors like construction and green buildings relies on modern GIS solutions for efficient planning and management. Smart utilities and telematics navigation are also leveraging GIS analytics for improved operational efficiency.
    GIS technology is essential for zoning and land use management, enabling data-driven decision-making. Smart public works and urban planning projects utilize mapping and geospatial technology for effective implementation. Surveying is another sector that benefits from advanced GIS solutions. Overall, the GIS analytics market is evolving, with a focus on providing actionable insights to businesses and organizations.
    

    How is this Geographic Information System Analytics Industry segmented?

    The geographic information system analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

    End-user
    
      Retail and Real Estate
      Government
      Utilities
      Telecom
      Manufacturing and Automotive
      Agriculture
      Construction
      Mining
      Transportation
      Healthcare
      Defense and Intelligence
      Energy
      Education and Research
      BFSI
    
    
    Components
    
      Software
      Services
    
    
    Deployment Modes
    
      On-Premises
      Cloud-Based
    
    
    Applications
    
      Urban and Regional Planning
      Disaster Management
      Environmental Monitoring Asset Management
      Surveying and Mapping
      Location-Based Services
      Geospatial Business Intelligence
      Natural Resource Management
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        UK
    
    
      APAC
    
        China
        India
        South Korea
    
    
      Middle East and Africa
    
        UAE
    
    
      South America
    
        Brazil
    
    
      Rest of World
    

    By End-user Insights

    The retail and real estate segment is estimated to witness significant growth during the forecast period.

    The GIS analytics market analysis is witnessing significant growth due to the increasing demand for advanced technologies in various industries. In the retail sector, for instance, retailers are utilizing GIS analytics to gain a competitive edge by analyzing customer demographics and buying patterns through real-time location monitoring and multiple layered maps. The retail industry's success relies heavily on these insights for effective marketing strategies. Moreover, the defense industries are integrating GIS analytics into their operations for infrastructure development, permitting, and public safety. Building Information Modeling (BIM) and 4D GIS software are increasingly being adopted for construction project workflows, while urban planning and designing require geospatial data for smart city planning and site selection.

    The oil and gas industry is leveraging satellite imaging and IoT devices for land acquisition and mining operations. In the public sector, gover

  3. GIS Data Italy | Mapping Data | 4.5M+ Places in Italy

    • datarade.ai
    Updated Mar 6, 2025
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    InfobelPRO (2025). GIS Data Italy | Mapping Data | 4.5M+ Places in Italy [Dataset]. https://datarade.ai/data-products/gis-data-italy-mapping-data-4-5m-places-in-italy-infobelpro
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Mar 6, 2025
    Dataset provided by
    Infobelhttp://www.infobel.com/
    Authors
    InfobelPRO
    Area covered
    Italy
    Description

    Unlock precise, high-quality GIS data covering 4.5M+ verified locations across Italy. With 50+ enriched attributes including coordinates, building structures, and spatial geometry our dataset provides the granularity and accuracy needed for in-depth spatial analysis. Powered by AI-driven enrichment and deduplication, and backed by 30+ years of expertise, our GIS solutions support industries ranging from mapping and navigation to urban planning and market analysis, helping businesses and organizations make smarter, data-driven decisions.

    Key use cases of GIS Data helping our customers :

    1. Optimize Mapping & Spatial Analysis : Use GIS data to analyse landscapes, urban infrastructure, and competitor locations, ensuring data-driven planning and decision-making.
    2. Enhance Navigation & Location-Based Services : Improve real-time route planning, asset tracking, and EV charging station discovery for seamless location-based experiences.
    3. Identify Strategic Sites for Business Expansion : Leverage GIS intelligence to select optimal retail sites, franchise locations, and warehouses with precision.
    4. Improve Logistics & Address Accuracy : Streamline delivery networks, validate addresses, and optimize courier routes to boost efficiency and customer satisfaction.
    5. Support Environmental & Urban Development Initiatives : Utilize GIS insights for disaster preparedness, sustainable city planning, and land-use management.
  4. Open Source GIS Training for Improved Protected Area Planning and Management...

    • pacific-data.sprep.org
    • rmi-data.sprep.org
    pdf, zip
    Updated Nov 2, 2022
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    Secretariat of the Pacific Regional Environment Programme (2022). Open Source GIS Training for Improved Protected Area Planning and Management in the Republic of the Marshall Islands [Dataset]. https://pacific-data.sprep.org/dataset/open-source-gis-training-improved-protected-area-planning-and-management-republic-marshall
    Explore at:
    pdf(1167275), pdf(3658659), pdf(5213196), zipAvailable download formats
    Dataset updated
    Nov 2, 2022
    Dataset provided by
    Pacific Regional Environment Programmehttps://www.sprep.org/
    License

    Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
    License information was derived automatically

    Area covered
    Marshall Islands, POLYGON ((159.92660522461 3.4531078732957, 159.92660522461 16.662506225635, 176.18637084961 3.4531078732957)), 176.18637084961 16.662506225635
    Description

    Dataset contains training material on using open source Geographic Information Systems (GIS) to improve protected area planning and management from a workshop that was conducted on August 17-21, 2020. Specifically, the dataset contains lectures on GIS fundamentals, QGIS 3.x, and global positioning system (GPS), as well as country-specific datasets and a workbook containing exercises for viewing data, editing/creating datasets, and creating map products in QGIS. Supplemental videos that narrate a step-by-step recap and overview of these processes are found in the Related Content section of this dataset.

    Funding for this workshop and material was funded by the Biodiversity and Protected Areas Management (BIOPAMA) programme. The BIOPAMA programme is an initiative of the Organisation of African, Caribbean and Pacific (ACP) Group of States financed by the European Union's 11th European Development Fund. BIOPAMA is jointly implemented by the International Union for Conservation of Nature {IUCN) and the Joint Research Centre of the European Commission (EC-JRC). In the Pacific region, BIOPAMA is implemented by IUCN's Oceania Regional Office (IUCN ORO) in partnership with the Secretariat of the Pacific Regional Environment Programme (SPREP). The overall objective of the BIOPAMA programme is to contribute to improving the long-term conservation and sustainable use of biodiversity and natural resources in the Pacific ACP region in protected areas and surrounding communities through better use and monitoring of information and capacity development on management and governance.

  5. GIS Data | 164M+ Global Places

    • datarade.ai
    Updated Mar 6, 2025
    + more versions
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    InfobelPRO (2025). GIS Data | 164M+ Global Places [Dataset]. https://datarade.ai/data-products/gis-data-164m-global-places-infobelpro
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Mar 6, 2025
    Dataset provided by
    Infobelhttp://www.infobel.com/
    Authors
    InfobelPRO
    Area covered
    France, United Kingdom, United States
    Description

    Unlock precise, high-quality GIS data covering 164M+ verified locations across 220+ countries. With 50+ enriched attributes including coordinates, building structures, and spatial geometry our dataset provides the granularity and accuracy needed for in-depth spatial analysis. Powered by AI-driven enrichment and deduplication, and backed by 30+ years of expertise, our GIS solutions support industries ranging from mapping and navigation to urban planning and market analysis, helping businesses and organizations make smarter, data-driven decisions.

    Key use cases of GIS Data helping our customers :

    1. Optimize Mapping & Spatial Analysis : Use GIS data to analyse landscapes, urban infrastructure, and competitor locations, ensuring data-driven planning and decision-making.
    2. Enhance Navigation & Location-Based Services : Improve real-time route planning, asset tracking, and EV charging station discovery for seamless location-based experiences.
    3. Identify Strategic Sites for Business Expansion : Leverage GIS intelligence to select optimal retail sites, franchise locations, and warehouses with precision.
    4. Improve Logistics & Address Accuracy : Streamline delivery networks, validate addresses, and optimize courier routes to boost efficiency and customer satisfaction.
    5. Support Environmental & Urban Development Initiatives : Utilize GIS insights for disaster preparedness, sustainable city planning, and land-use management.
  6. N

    Zoning GIS Data: Geodatabase

    • data.cityofnewyork.us
    • s.cnmilf.com
    • +2more
    csv, xlsx, xml
    Updated Jan 29, 2013
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    Department of City Planning (DCP) (2013). Zoning GIS Data: Geodatabase [Dataset]. https://data.cityofnewyork.us/City-Government/Zoning-GIS-Data-Geodatabase/mm69-vrje
    Explore at:
    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Jan 29, 2013
    Dataset authored and provided by
    Department of City Planning (DCP)
    Description

    This data set consists of 6 classes of zoning features: zoning districts, special purpose districts, special purpose district subdistricts, limited height districts, commercial overlay districts, and zoning map amendments.

    All previously released versions of this data are available on the DCP Website: BYTES of the BIG APPLE. Current version: 202510

  7. Open Source GIS Training for Improved Protected Area Planning and Management...

    • samoa-data.sprep.org
    • pacific-data.sprep.org
    pdf, zip
    Updated Feb 15, 2022
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    Bradley Eichelberger, SPREP PIPAP GIS Consultant (2022). Open Source GIS Training for Improved Protected Area Planning and Management in Samoa [Dataset]. https://samoa-data.sprep.org/dataset/open-source-gis-training-improved-protected-area-planning-and-management-samoa
    Explore at:
    pdf(1016525), zip(791238585), pdf(4922394), pdf(3655929)Available download formats
    Dataset updated
    Feb 15, 2022
    Dataset provided by
    Pacific Regional Environment Programmehttps://www.sprep.org/
    Authors
    Bradley Eichelberger, SPREP PIPAP GIS Consultant
    License

    Public Domain Mark 1.0https://creativecommons.org/publicdomain/mark/1.0/
    License information was derived automatically

    Area covered
    Samoa, 186.75230026245 -13.120440826626, 188.90562057495 -14.517952072974)), POLYGON ((186.75230026245 -14.517952072974, 188.90562057495 -13.120440826626
    Description

    Dataset contains training material on using open source Geographic Information Systems (GIS) to improve protected area planning and management from workshops that were conducted on February 19-21 and October 6-7, 2020. Specifically, the dataset contains lectures on GIS fundamentals, QGIS 3.x, and global positioning system (GPS), as well as country-specific datasets and a workbook containing exercises for viewing data, editing/creating datasets, and creating map products in QGIS. Supplemental videos that narrate a step-by-step recap and overview of these processes are found in the Related Content section of this dataset.

    Funding for this workshop and material was funded by the Biodiversity and Protected Areas Management (BIOPAMA) programme. The BIOPAMA programme is an initiative of the Organisation of African, Caribbean and Pacific (ACP) Group of States financed by the European Union's 11th European Development Fund. BIOPAMA is jointly implemented by the International Union for Conservation of Nature {IUCN) and the Joint Research Centre of the European Commission (EC-JRC). In the Pacific region, BIOPAMA is implemented by IUCN's Oceania Regional Office (IUCN ORO) in partnership with the Secretariat of the Pacific Regional Environment Programme (SPREP). The overall objective of the BIOPAMA programme is to contribute to improving the long-term conservation and sustainable use of biodiversity and natural resources in the Pacific ACP region in protected areas and surrounding communities through better use and monitoring of information and capacity development on management and governance.

  8. Development of GIS-family planning.

    • plos.figshare.com
    xls
    Updated Jun 8, 2023
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    Xueyan Yang; Shuzhuo Li; Marcus W. Feldman (2023). Development of GIS-family planning. [Dataset]. http://doi.org/10.1371/journal.pone.0059919.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 8, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Xueyan Yang; Shuzhuo Li; Marcus W. Feldman
    License

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

    Description

    Note: Each item has a 5-point Likert response: (1) strongly agree (2) agree (3) neither agree nor disagree (4) disagree (5) strongly disagree.

  9. n

    GIS for Coronavirus Planning and Response Whitepaper

    • prep-response-portal.napsgfoundation.org
    • prep-response-portal-napsg.hub.arcgis.com
    Updated Apr 1, 2020
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    Esri’s Disaster Response Program (2020). GIS for Coronavirus Planning and Response Whitepaper [Dataset]. https://prep-response-portal.napsgfoundation.org/documents/939886dd26614a2b9d72b3eef46b4f02
    Explore at:
    Dataset updated
    Apr 1, 2020
    Dataset authored and provided by
    Esri’s Disaster Response Program
    Description

    Infectious disease experts have predicted a pandemic, saying it was not a question of if but when. Drawing on experiences with severe acute respiratory syndrome (SARS), avian influenza (H5N1), and novel influenza A (H1N1), the World Health Organization (WHO) and other health authorities, such as the Centers for Disease Control and Prevention (CDC), urged nations and local governments to prepare pandemic response plans. Many ministries of health and subnational departments of health around the world have activated those plans in response to coronavirus and are sharing data as required by the updated International Health Regulations.Esri's work with health organizations and government leaders has proven location intelligence from geographic information system (GIS) technology and data to be critical for the following:Assessing risk and evaluating threatsMonitoring and tracking outbreaksMaintaining situational awarenessEnsuring resource allocationNotifying agencies and communitiesThe current coronavirus disease pandemic presents an opportunity to build on the experience and readiness of Esri's existing global user community in health and human services. Through real-time maps, apps, and dashboards, GIS will also facilitate a seamless flow of relevant data as a component of the response from local to global levels. A compelling case exists for building on top of the public health GIS foundation that is already in place both in the United States and around the world.After reading this paper, leadership and senior staff should understand the following:The necessity to apply location intelligence to public health processes in coronavirus responseHow GIS can support immediate and long-term actionWhat resources Esri provides its customers

  10. a

    Planning Corridors

    • hub.arcgis.com
    • data.virginia.gov
    • +1more
    Updated Aug 16, 2022
    + more versions
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    Arlington County, VA - GIS Mapping Center (2022). Planning Corridors [Dataset]. https://hub.arcgis.com/datasets/ArlGIS::planning-areas-and-corridors?layer=0
    Explore at:
    Dataset updated
    Aug 16, 2022
    Dataset authored and provided by
    Arlington County, VA - GIS Mapping Center
    Area covered
    Description

    Planning Corridors used by Arlington County, CPHD.

  11. U

    Urban Planning Apps Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Apr 29, 2025
    + more versions
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    Data Insights Market (2025). Urban Planning Apps Report [Dataset]. https://www.datainsightsmarket.com/reports/urban-planning-apps-510111
    Explore at:
    doc, ppt, pdfAvailable download formats
    Dataset updated
    Apr 29, 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

    Discover the booming market for urban planning apps! This in-depth analysis reveals a $76.9 million market in 2025, projected to reach significant growth by 2033, driven by smart city initiatives and technological advancements. Explore market trends, key players (SketchUp, ArcGIS Collector, AutoCAD 360), and regional insights.

  12. North America Geographic Information System Market Analysis - Size and...

    • technavio.com
    pdf
    Updated Feb 21, 2025
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    Technavio (2025). North America Geographic Information System Market Analysis - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/north-america-gis-market-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Feb 21, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2025 - 2029
    Area covered
    North America
    Description

    Snapshot img

    North America Geographic Information System Market Size 2025-2029

    The geographic information system market size in North America is forecast to increase by USD 11.4 billion at a CAGR of 23.7% between 2024 and 2029.

    The market is experiencing significant growth due to the increasing adoption of advanced technologies such as artificial intelligence, satellite imagery, and sensors in various industries. In fleet management, GIS software is being used to optimize routes and improve operational efficiency. In the context of smart cities, GIS solutions are being utilized for content delivery, public safety, and building information modeling. The demand for miniaturization of technologies is also driving the market, allowing for the integration of GIS into smaller devices and applications. However, data security concerns remain a challenge, as the collection and storage of sensitive information requires robust security measures. The insurance industry is also leveraging GIS for telematics and risk assessment, while the construction sector uses GIS for server-based project management and planning. Overall, the GIS market is poised for continued growth as these trends and applications continue to evolve.
    

    What will be the Size of the market During the Forecast Period?

    Request Free Sample

    The Geographic Information System (GIS) market encompasses a range of technologies and applications that enable the collection, management, analysis, and visualization of spatial data. Key industries driving market growth include transportation, infrastructure planning, urban planning, and environmental monitoring. Remote sensing technologies, such as satellite imaging and aerial photography, play a significant role in data collection. Artificial intelligence and the Internet of Things (IoT) are increasingly integrated into GIS solutions for real-time location data processing and operational efficiency.
    Applications span various sectors, including agriculture, natural resources, construction, and smart cities. GIS is essential for infrastructure analysis, disaster management, and land management. Geospatial technology enables spatial data integration, providing valuable insights for decision-making and optimization. Market size is substantial and growing, fueled by increasing demand for efficient urban planning, improved infrastructure, and environmental sustainability. Geospatial startups continue to emerge, innovating in areas such as telematics, natural disasters, and smart city development.
    

    How is this market segmented and which is the largest segment?

    The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

    Component
    
      Software
      Data
      Services
    
    
    Deployment
    
      On-premise
      Cloud
    
    
    Geography
    
      North America
    
        Canada
        Mexico
        US
    

    By Component Insights

    The software segment is estimated to witness significant growth during the forecast period.
    

    The Geographic Information System (GIS) market encompasses desktop, mobile, cloud, and server software for managing and analyzing spatial data. In North America, industry-specific GIS software dominates, with some commercial entities providing open-source alternatives for limited functions like routing and geocoding. Despite this, counterfeit products pose a threat, making open-source software a viable option for smaller applications. Market trends indicate a shift towards cloud-based GIS solutions for enhanced operational efficiency and real-time location data. Spatial data applications span various sectors, including transportation infrastructure planning, urban planning, natural resources management, environmental monitoring, agriculture, and disaster management. Technological innovations, such as artificial intelligence, the Internet of Things (IoT), and satellite imagery, are revolutionizing GIS solutions.

    Cloud-based GIS solutions, IoT integration, and augmented reality are emerging trends. Geospatial technology is essential for smart city projects, climate monitoring, intelligent transportation systems, and land management. Industry statistics indicate steady growth, with key players focusing on product innovation, infrastructure optimization, and geospatial utility solutions.

    Get a glance at the market report of share of various segments Request Free Sample

    Market Dynamics

    Our North America Geographic Information System Market researchers analyzed the data with 2024 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of drivers will help companies refine their marketing strategies to gain a competitive advantage.

    What are the key market drivers leading to the rise in the adoption of the North America Geographic Information System Market?

    Rising applications of geographic

  13. H

    Data from: Land Use Land Cover (LULC)

    • opendata.hawaii.gov
    • geoportal.hawaii.gov
    • +3more
    Updated Jun 1, 2024
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    Office of Planning (2024). Land Use Land Cover (LULC) [Dataset]. https://opendata.hawaii.gov/dataset/land-use-land-cover-lulc
    Explore at:
    pdf, arcgis geoservices rest api, geojson, kml, html, zip, csv, ogc wms, ogc wfsAvailable download formats
    Dataset updated
    Jun 1, 2024
    Dataset provided by
    Hawaii Statewide GIS Program
    Authors
    Office of Planning
    Description

    [Metadata] Description: Land Use Land Cover of main Hawaiian Islands as of 1976

    Source: 1:100,000 1976 Digital GIRAS (Geographic Information Retrieval and Analysis) files.

    Land Use and Land Cover (LULC) data consists of historical land use and land cover classification data that was based primarily on the manual interpretation of 1970's and 1980's aerial photography. Secondary sources included land use maps and surveys. There are 21 possible categories of cover type. The spatial resolution for all LULC files will depend on the format and feature type. Files in GIRAS format will have a minimum polygon area of 10 acres (4 hectares) with a minimum width of 660 feet (200 meters) for manmade features. Non-urban or natural features have a minimum polygon area of 40 acres (16 hectares) with a minimum width of 1320 feet (400 meters). Files in CTG format will have a resolution of 30 meters.

    May 2024: Hawaii Statewide GIS Program staff removed extraneous fields that had been added as part of the 2016 GIS database conversion and were no longer needed.

    For additional information, please refer to https://files.hawaii.gov/dbedt/op/gis/data/lulc.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, HI 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

  14. f

    Data from: Sequential Use of Geographic Information System and Mathematical...

    • acs.figshare.com
    xlsx
    Updated Jun 1, 2023
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    José E. Santibañez-Aguilar; Diego F. Lozano-García; Francisco J. Lozano; Antonio Flores-Tlacuahuac (2023). Sequential Use of Geographic Information System and Mathematical Programming for Optimal Planning for Energy Production Systems from Residual Biomass [Dataset]. http://doi.org/10.1021/acs.iecr.9b00492.s002
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    ACS Publications
    Authors
    José E. Santibañez-Aguilar; Diego F. Lozano-García; Francisco J. Lozano; Antonio Flores-Tlacuahuac
    License

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

    Description

    Residual biomass is a renewable resource with attractive characteristics to produce energy and biofuels. Diverse studies have stated that residual biomass used for biofuels and energy production can contribute partially to solve the energy demand problem, decreasing fossil fuels carbon emissions. Most works have focused on developing new technologies, processes, and processing systems based on biomass. Other works have addressed the supply chain-planning problem to determine optimal locations considering diverse objectives. A third group of works have proposed schemes based on Geographic Information Systems (GIS) to determine suitable locations in different types of systems. Nevertheless, works capable to combine the advantage of GIS, mathematical programming, and process design have not been properly conducted. Therefore, this paper presents a sequential approach for the optimal planning of a residual biomass processing system. The methodology considers selecting potential locations through a multicriteria methodology based on GIS. Also, this paper proposes a mathematical programming approach for the optimal planning of a residual biomass processing system, which considers as input the locations predefined by GIS methodology, as well as six potential products, six processing routes, and eight raw materials. The mathematical programming approach consists of mass balances to obtain the interconnections between the different supply chain nodes, as well as constraints to model the considered technologies involving capital investment and production costs. The GIS approach was applied to a case study in Mexico, which produced 764 harvesting sites and 334 processing plants for all considered residual biomass types. The optimization approach conducted used 33 processing plants, 467 harvesting sites, and 2 products from 3 biomass types in order to determine the final supply chain topology. Results show that the proposed methodology is a useful tool to determine the optimal supply chain topology during the decision process.

  15. V

    Data from: Planning Areas

    • data.virginia.gov
    • gisdata-arlgis.opendata.arcgis.com
    Updated Jun 12, 2025
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    Arlington County - GIS Portal (2025). Planning Areas [Dataset]. https://data.virginia.gov/dataset/planning-areas2
    Explore at:
    csv, html, zip, arcgis geoservices rest api, geojson, kmlAvailable download formats
    Dataset updated
    Jun 12, 2025
    Dataset provided by
    Arlington County, VA - GIS Mapping Center
    Authors
    Arlington County - GIS Portal
    Description

    Planning Corridors used by Arlington County, CPHD.

  16. c

    Geographic Information System Software Market was valued at USD 8.5 billion...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Jan 1, 2023
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    Cognitive Market Research (2023). Geographic Information System Software Market was valued at USD 8.5 billion in 2022! [Dataset]. https://www.cognitivemarketresearch.com/geographic-information-system-software-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jan 1, 2023
    Dataset authored and provided by
    Cognitive Market Research
    License

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

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    Global Geographic Information System Software Market was valued at USD 8.5 billion in 2022 and will reach USD 21.0 billion by 2030, registering a CAGR of 12.1% for the forecast period 2023-2030. Factor Impacting the Geographic Information System Software Market:

    The development of smart cities and Modern urban Planning is expected to drive the Geographic Information System Software Market
    

    The process of site selection, land acquisition, planning, designing, visualizing, building, project management, operations, and reporting are all aided by geographic information system (GIS) software for smart cities. Moreover, geographic information system (GIS) solutions are used in urban planning by experts to better properly analyze, model, and visualize places. By processing geospatial data from satellite imaging, aerial photography, and remote sensors, geographic information system (GIS) software systems offer a comprehensive perspective of the land and infrastructure. Additionally, the industry for geographic information system software is growing over the forecast period as a result of such geographic information system (GIS) software applications.

    Restraining factor for Geographic Information System Software Market

    The high cost of the system has impacted the Geographic Information System Software Market
    

    The pricey geographic information system will further derail the overall market’s growth. The geographic information system (GIS) is expensive because, in addition to the technology and software, it is necessary to have a properly qualified human workforce. Moreover, Specialized knowledge is needed to comprehend and interpret the information gathered by a geographic information system (GIS) system, which is expensive to hire and train. This factor will therefore obstruct market growth over the forecast period. What is Geographic Information System Software?

    Geographic Information System Software is used to develop, hold, retrieve, organize, display, and perform analyses on many kinds of spatial and geographic data. The geographic information system (GIS) Industry is majorly driven by infrastructural developments, such as smart cities, water and land management, utility, and urban planning. The services segment provides various applications such as location-based services and, thus, is one of the prominent contributors to the market share. Advancements in GIS technologies, such as geo-analytics and integrated location-based data services, are also boosting the adoption of GIS in various regional markets, thereby driving the market demand over the forecast period.

  17. BLM AK Land Use Planning Area

    • gis.data.alaska.gov
    • gimi9.com
    • +4more
    Updated Jan 18, 2024
    + more versions
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    Bureau of Land Management (2024). BLM AK Land Use Planning Area [Dataset]. https://gis.data.alaska.gov/maps/64eb306e5a044e17b0fd1983277e46de
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    Dataset updated
    Jan 18, 2024
    Dataset authored and provided by
    Bureau of Land Managementhttp://www.blm.gov/
    Area covered
    Description

    This layer represents the boundaries for existing and in-progress BLM Land Use Planning Area (LUPA) polygons. Land Use Planning Areas are geographic areas within which the BLM will make decisions during a land use planning effort. Land Use Planning Area Boundaries shift from an "in-progress" status and become Existing Land Use Planning Areas when the Land Use Plan has been approved and a Record of Decision Date has been established.

  18. d

    Taichung City Urban Planning Map 2018 (GIS)_TWD97

    • data.gov.tw
    csv, json, xml
    Updated Sep 5, 2025
    + more versions
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    Urban Development Bureau, Taichung City Government (2025). Taichung City Urban Planning Map 2018 (GIS)_TWD97 [Dataset]. https://data.gov.tw/en/datasets/126608
    Explore at:
    xml, csv, jsonAvailable download formats
    Dataset updated
    Sep 5, 2025
    Dataset authored and provided by
    Urban Development Bureau, Taichung City Government
    License

    https://data.gov.tw/licensehttps://data.gov.tw/license

    Area covered
    Taichung City
    Description

    The data is digitized from the urban planning announcement provided by the Urban Development Bureau. The fields include number, administrative district, use zone, zone abbreviation, urban plan name, establishment date, area, building coverage ratio, volume ratio, maximum volume, urban planning area, detailed planning area, remarks, revision date, publication number, and project name.

  19. Metropolitan Planning Organization Boundaries

    • catalog.data.gov
    • data.cnra.ca.gov
    • +5more
    Updated Jul 24, 2025
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    California Energy Commission (2025). Metropolitan Planning Organization Boundaries [Dataset]. https://catalog.data.gov/dataset/metropolitan-planning-organization-boundaries-2d161
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    Dataset updated
    Jul 24, 2025
    Dataset provided by
    California Energy Commissionhttp://www.energy.ca.gov/
    Description

    The metropolitan planning organization (MPO) polygon feature class provides California MPO legislative boundaries, primarily for regional planning applications.Data downloaded in February 2023 from https://gisdata-caltrans.opendata.arcgis.com/datasets/b3e0ef95520843ba8c1d3b9c0fa9a607_0/explore?location=36.748926%2C-119.524779%2C7.00.

  20. n

    LANDISVIEW 2.0 : Free Spatial Data Analysis

    • cmr.earthdata.nasa.gov
    Updated Mar 5, 2021
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    (2021). LANDISVIEW 2.0 : Free Spatial Data Analysis [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1214586381-SCIOPS
    Explore at:
    Dataset updated
    Mar 5, 2021
    Time period covered
    Jan 1, 1970 - Present
    Description

    LANDISVIEW is a tool, developed at the Knowledge Engineering Laboratory at Texas A&M University, to visualize and animate 8-bit/16-bit ERDAS GIS format (e.g., LANDIS and LANDIS-II output maps). It can also convert 8-bit/16-bit ERDAS GIS format into ASCII and batch files. LANDISVIEW provides two major functions: 1) File Viewer: Files can be viewed sequentially and an output can be generated as a movie file or as an image file. 2) File converter: It will convert the loaded files for compatibility with 3rd party software, such as Fragstats, a widely used spatial analysis tool. Some available features of LANDISVIEW include: 1) Display cell coordinates and values. 2) Apply user-defined color palette to visualize files. 3) Save maps as pictures and animations as video files (*.avi). 4) Convert ERDAS files into ASCII grids for compatibility with Fragstats. (Source: http://kelab.tamu.edu/)

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(2017). Bhutan Land use planning GIS Database [Dataset]. https://cmr.earthdata.nasa.gov/search/concepts/C1214155400-SCIOPS.html

Bhutan Land use planning GIS Database

ICId0014_202_Not provided

Explore at:
Dataset updated
Apr 20, 2017
Time period covered
Jan 1, 1970 - Present
Area covered
Description

Land cover has been interpreted from Satellite images and field checked, other information has been digitized from topographic maps

 Members informations:
 Attached Vector(s):
  MemberID: 1
 Vector Name: Land use
 Source Map Name: SPOT Pan
 Source Map Scale: 50000
 Source Map Date: 1989/90
 Projection: Polyconic on Modified Everest Ellipsoid
 Feature_type: polygon
 Vector 
 Land use maps, interpreted from SPOT panchromatic imagery and field
 checked (18 classes)

 Members informations:
 Attached Vector(s):
  MemberID: 2
 Vector Name: Administrative boundaries
 Source Map Name: topo sheets
 Source Map Scale: 50000
 Source Map Date: ?
 Feature_type: polygon
 Vector 
 Dzongkhags (Districts) and Gewogs

 Members informations:
 Attached Vector(s):
  MemberID: 3
 Vector Name: Roads
 Source Map Name: topo sheets
 Source Map Scale: 50000
 Source Map Date: ?
 Feature_type: lines
 Vector 
 Road network

 Attached Report(s)
 Member ID: 4
 Report Name: Atlas of Bhutan
 Report Authors: Land use planning section
 Report Publisher: Ministry of Agriculture, Thimpu
 Report Date: 1997-06-01
 Report 
 Land cover (1:250000) and area statistics of 20 Dzongkhags
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