49 datasets found
  1. Geographic Information System Analytics Market Analysis, Size, and Forecast...

    • technavio.com
    Updated Jul 15, 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
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    Dataset updated
    Jul 15, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    United Kingdom, Germany, Canada, France, United States, Global
    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?

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    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,

  2. Geographic Management Information System

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Jun 25, 2024
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    data.usaid.gov (2024). Geographic Management Information System [Dataset]. https://catalog.data.gov/dataset/geographic-management-information-system
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    Dataset updated
    Jun 25, 2024
    Dataset provided by
    United States Agency for International Developmenthttps://usaid.gov/
    Description

    The Geographic Management Information System (GeoMIS) is a FISMA Moderate minor application built using ArcGIS Server and portal, Microsoft SQL, and a web-facing front-end. The system can be accessed over the internet via https://www.usaidgiswbg.com using a web browser. GeoMIS is based on a commercial off-the-shelf product developed by Esri. Esri is creates geographic information system (GIS) software, web GIS and geodatabase management applications and is based in California. GeoMISIt is maintained by an Israeli company, Systematics (see Attachment 3) which is EsriI's agent in Israel. The mission has an annual maintenance contract with Systematics for GeoMIS. GeoMIS has 100 users from USAID staff (USA Direct Hire and Foreign Service Nationals) and 200 users from USAID contractors and grantees. The system is installed at USAID WBG office in Tel Aviv/Israel inside the computer room in the DMZ. It has no interconnections with any other system.

  3. f

    Data from: MAPVOICE: COMPUTATIONAL TOOL TO AID IN LEARNING CARTOGRAPHY FOR...

    • scielo.figshare.com
    png
    Updated Jun 5, 2023
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    Leonardo Carlos Barbosa; Lucilene Antunes Correia Marques de Sá (2023). MAPVOICE: COMPUTATIONAL TOOL TO AID IN LEARNING CARTOGRAPHY FOR THE VISUALLY IMPAIRED [Dataset]. http://doi.org/10.6084/m9.figshare.6083750.v1
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    pngAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    SciELO journals
    Authors
    Leonardo Carlos Barbosa; Lucilene Antunes Correia Marques de Sá
    License

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

    Description

    Abstract: In Brazil, the LDB - Law of Guidelines and Bases nº. 9394(Brazil, 1996) and the PCN - National Curricular Parameters, determines that the Geography discipline is recognized as autonomous and should not be understood as a complement to other disciplines. In this way, the improvement in Geography teaching passes through cartographic literacy. The focus is on offering the student the capacity to carry out the appropriation, analysis, reflection and criticism on geographical space. In this way, this paper presents a resource that consisted of the development of the application called MapVoice. The purpose of the software is to enable Blind or visually impaired students, from basic education, in the learning of Cartography in Geography classes. MapVoice provides the understanding and interpretation of physical environments transformed into thematic maps based on data from the 2010 Brazilian Demographic Census executed by IBGE. The software used sound and image resources developed for Windows environment. The research concludes that it is necessary to prepare the infrastructure of the schools for the reception of these students, but mainly the continuing training of teachers and teaching assistants. Mapvoice was tested at the Institute of the Blind for validation, achieving a satisfactory result and making enthusiasm for the development of new researches.

  4. GIS Market Analysis North America, Europe, APAC, South America, Middle East...

    • technavio.com
    Updated Feb 15, 2025
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    Technavio (2025). GIS Market Analysis North America, Europe, APAC, South America, Middle East and Africa - US, China, Germany, UK, Canada, Brazil, Japan, France, South Korea, UAE - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/gis-market-industry-analysis
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Germany, South Korea, North America, Canada, United Arab Emirates, United States, Brazil, France, United Kingdom, Global
    Description

    Snapshot img

    GIS Market Size 2025-2029

    The GIS market size is forecast to increase by USD 24.07 billion, at a CAGR of 20.3% between 2024 and 2029.

    The Global Geographic Information System (GIS) market is experiencing significant growth, driven by the increasing integration of Building Information Modeling (BIM) and GIS technologies. This convergence enables more effective spatial analysis and decision-making in various industries, particularly in soil and water management. However, the market faces challenges, including the lack of comprehensive planning and preparation leading to implementation failures of GIS solutions. Companies must address these challenges by investing in thorough project planning and collaboration between GIS and BIM teams to ensure successful implementation and maximize the potential benefits of these advanced technologies.
    By focusing on strategic planning and effective implementation, organizations can capitalize on the opportunities presented by the growing adoption of GIS and BIM technologies, ultimately driving operational efficiency and innovation.
    

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

    Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
    Request Free Sample

    The global Geographic Information Systems (GIS) market continues to evolve, driven by the increasing demand for advanced spatial data analysis and management solutions. GIS technology is finding applications across various sectors, including natural resource management, urban planning, and infrastructure management. The integration of Bing Maps, terrain analysis, vector data, Lidar data, and Geographic Information Systems enables precise spatial data analysis and modeling. Hydrological modeling, spatial statistics, spatial indexing, and route optimization are essential components of GIS, providing valuable insights for sectors such as public safety, transportation planning, and precision agriculture. Location-based services and data visualization further enhance the utility of GIS, enabling real-time mapping and spatial analysis.

    The ongoing development of OGC standards, spatial data infrastructure, and mapping APIs continues to expand the capabilities of GIS, making it an indispensable tool for managing and analyzing geospatial data. The continuous unfolding of market activities and evolving patterns in the market reflect the dynamic nature of this technology and its applications.

    How is this GIS Industry segmented?

    The GIS industry 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.

    Product
    
      Software
      Data
      Services
    
    
    Type
    
      Telematics and navigation
      Mapping
      Surveying
      Location-based services
    
    
    Device
    
      Desktop
      Mobile
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        UK
    
    
      Middle East and Africa
    
        UAE
    
    
      APAC
    
        China
        Japan
        South Korea
    
    
      South America
    
        Brazil
    
    
      Rest of World (ROW)
    

    By Product Insights

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

    The Global Geographic Information System (GIS) market encompasses a range of applications and technologies, including raster data, urban planning, geospatial data, geocoding APIs, GIS services, routing APIs, aerial photography, satellite imagery, GIS software, geospatial analytics, public safety, field data collection, transportation planning, precision agriculture, OGC standards, location intelligence, remote sensing, asset management, network analysis, spatial analysis, infrastructure management, spatial data standards, disaster management, environmental monitoring, spatial modeling, coordinate systems, spatial overlay, real-time mapping, mapping APIs, spatial join, mapping applications, smart cities, spatial data infrastructure, map projections, spatial databases, natural resource management, Bing Maps, terrain analysis, vector data, Lidar data, and geographic information systems.

    The software segment includes desktop, mobile, cloud, and server solutions. Open-source GIS software, with its industry-specific offerings, poses a challenge to the market, while the adoption of cloud-based GIS software represents an emerging trend. However, the lack of standardization and interoperability issues hinder the widespread adoption of cloud-based solutions. Applications in sectors like public safety, transportation planning, and precision agriculture are driving market growth. Additionally, advancements in technologies like remote sensing, spatial modeling, and real-time mapping are expanding the market's scope.

    Request Free Sample

    The Software segment was valued at USD 5.06 billion in 2019

  5. f

    Data from: What’s in a Name? Undergraduate Student Perceptions of Geography,...

    • tandf.figshare.com
    docx
    Updated Jun 4, 2023
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    Justin Stoler; Diana Ter-Ghazaryan; Ira Sheskin; Amber L. Pearson; Gary Schnakenberg; Dominique Cagalanan; Kate Swanson; Piotr Jankowski (2023). What’s in a Name? Undergraduate Student Perceptions of Geography, Environment, and Sustainability Key Words and Program Names [Dataset]. http://doi.org/10.6084/m9.figshare.12852612.v1
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    docxAvailable download formats
    Dataset updated
    Jun 4, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Justin Stoler; Diana Ter-Ghazaryan; Ira Sheskin; Amber L. Pearson; Gary Schnakenberg; Dominique Cagalanan; Kate Swanson; Piotr Jankowski
    License

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

    Description

    The academic discipline of geography, faced with increasing competition from cognate fields and declining undergraduate enrollments, continues to suffer an identity crisis. In recent decades, many geography programs have instituted department or degree name changes, or otherwise rebranded, without any evidence guiding these decisions. This study begins to build an evidence base for these decisions by presenting results from a survey of 4,388 undergraduates across four U.S. universities to understand how students rate key words that commonly appear in geography course descriptions and titles and phrases that comprise degree and department names. Undergraduates overwhelmingly and consistently preferred simple, thematic types of terms to those that sounded more technical or science oriented. Forms of the word geography were rated significantly lower than words or phrases containing environment and sustainability. Forms of geography that included the word science were rated particularly low. Student ratings varied by class standing, major, gender, high school location (United States vs. outside of the United States), whether the student had previously enrolled in a geography course, and self-perceived numeracy. Multivariable analysis revealed potential opportunities for targeted undergraduate recruiting and curricular development. This study is an important step toward reconciling contemporary student perceptions of geography and related fields with departmental identities and the disciplinary jargon often used in program and course descriptions. We offer a toolkit for implementing similar research at other institutions and ultimately helping geography programs recruit and retain the next generation of geographers.

  6. Global Online Tutoring Software Market Size By Type, By Application, By And...

    • verifiedmarketresearch.com
    Updated Feb 26, 2024
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    VERIFIED MARKET RESEARCH (2024). Global Online Tutoring Software Market Size By Type, By Application, By And Geography Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/online-tutoring-software-market/
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    Dataset updated
    Feb 26, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2026 - 2032
    Area covered
    Global
    Description

    Online Tutoring Software Market size was valued at USD 7.42 Billion in 2024 and is projected to reach USD 17.13 Billion by 2032, growing at a CAGR of 12.5% during the forecast period 2026-2032.

    Global Online Tutoring Software Market Drivers

    The market drivers for the Online Tutoring Software Market can be influenced by various factors. These may include:

    Growing Need for Online Education: As e-learning and remote learning have become more popular, there is a greater need for online tutoring programs and software. Technological Developments: The sophistication, effectiveness, and accessibility of online tutoring software have increased thanks to developments in artificial intelligence (AI), machine learning, and cloud computing. Globalization: By enabling connections between tutors and students worldwide, online tutoring software has become more widely available, opening up new growth prospects. Flexibility and Convenience: Both students and instructors can benefit from the flexibility that online tutoring offers in terms of scheduling and location. Individualized Learning: To meet the needs and preferences of each individual student, online tutoring software frequently offers individualized learning experiences. Cost-Effectiveness: Students and educational institutions are adopting online tutoring because it can be more affordable than traditional in-person tutoring. COVID-19 Pandemic: The pandemic has increased the use of online tutoring and education, which has increased demand for online tutoring software. Emergence of EdTech: The market for online tutoring software has grown as a result of the general expansion of the education technology (EdTech) industry.

  7. GIS Market in EMEA by Component, End-user, and Geography - Forecast and...

    • technavio.com
    Updated Apr 6, 2022
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    Technavio (2022). GIS Market in EMEA by Component, End-user, and Geography - Forecast and Analysis 2022-2026 [Dataset]. https://www.technavio.com/report/gis-market-industry-in-emea-analysis
    Explore at:
    Dataset updated
    Apr 6, 2022
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Europe, the Middle East and Africa, Middle East, Africa, Europe, UK
    Description

    Snapshot img

    The GIS market share in EMEA is expected to increase to USD 2.01 billion from 2021 to 2026, and the market’s growth momentum will accelerate at a CAGR of 8.23%.

    This EMEA GIS market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers GIS market in EMEA segmentation by:

    Component - Software, data, and services
    End-user - Government, utilities, military, telecommunication, and others
    

    What will the GIS Market Size in EMEA be During the Forecast Period?

    Download the Free Report Sample to Unlock the GIS Market Size in EMEA for the Forecast Period and Other Important Statistics

    The EMEA GIS market report also offers information on several market vendors, including arxiT SA, Autodesk Inc., Bentley Systems Inc., Cimtex International, CNIM SA, Computer Aided Development Corp. Ltd., Environmental Systems Research Institute Inc., Fugro NV, General Electric Co., HERE Global BV, Hexagon AB, Hi-Target, Mapbox Inc., Maxar Technologies Inc., Pitney Bowes Inc., PSI Services LLC, Rolta India Ltd., SNC Lavalin Group Inc., SuperMap Software Co. Ltd., Takor Group Ltd., and Trimble Inc. among others.

    GIS Market in EMEA: Key Drivers, Trends, and Challenges

    The integration of BIM and GIS is notably driving the GIS market growth in EMEA, although factors such as data viability and risk of intrusion may impede market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the GIS industry in EMEA. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

    Key GIS Market Driver in EMEA

    One of the key factors driving the geographic information system (GIS) market growth in EMEA is the integration of BIM and GIS. A GIS adds value to BIM by visualizing and analyzing the data with regard to the buildings and surrounding features, such as environmental and demographic information. BIM data and workflows include information regarding sensors and the placement of devices in IoT-connected networks. For instance, Dubai's Civil Defense Department has integrated GIS data with its automatic fire surveillance system. This information is provided in a matter of seconds on the building monitoring systems of the Civil Defense Department. Furthermore, location-based services offered by GIS providers help generate huge volumes of data from stationary and moving devices and enable users to perform real-time spatial analytics and derive useful geographic insights from it. Owing to the advantages associated with the integration of BIM with GIS solutions, the demand for GIS solutions is expected to increase during the forecast period.

    Key GIS Market Challenge in EMEA

    One of the key challenges to the is the GIS market growth in EMEA is the data viability and risk of intrusion. Hackers can hack into these systems with malicious intentions and manipulate the data, which could have destructive or negative repercussions. Such hacking of data could cause nationwide chaos. For instance, if a hacker manipulated the traffic management database, massive traffic jams and accidents could result. If a hacker obtained access to the database of a national disaster management organization and manipulated the data to create a false disaster situation, it could lead to a panic situation. Therefore, the security infrastructure accompanying the implementation of GIS software solutions must be robust. Such security threats may impede market growth in the coming years.

    Key GIS Market Trend in EMEA

    Integration of augmented reality (AR) and GIS is one of the key geographic information system market trends in EMEA that is expected to impact the industry positively in the forecast period. AR apps could provide GIS content to professional end-users and aid them in making decisions on-site, using advanced and reliable information available on their mobile devices and smartphones. For instance, when the user simply points the camera of the phone at the ground, the application will be able to show the user the location and orientation of water pipes and electric cables that are concealed underground. Organizations such as the Open Geospatial Consortium (OGC) and the World Wide Web Consortium (W3C) are seeking investments and are open to sponsors for an upcoming AR pilot project, which seeks to advance the standards of AR technology at both respective organizations. Such factors will further support the market growth in the coming years.

    This GIS market in EMEA analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth st

  8. h

    Global K 12 Software Market Scope & Changing Dynamics 2019-2030

    • htfmarketinsights.com
    pdf & excel
    Updated Nov 7, 2024
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    HTF Market Intelligence (2024). Global K 12 Software Market Scope & Changing Dynamics 2019-2030 [Dataset]. https://www.htfmarketinsights.com/report/3422240-wide-k-12-software-market
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    pdf & excelAvailable download formats
    Dataset updated
    Nov 7, 2024
    Dataset authored and provided by
    HTF Market Intelligence
    License

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

    Time period covered
    2019 - 2031
    Area covered
    Global
    Description

    Global K 12 Software is segmented by Application (Schools, Districts, Teachers, Students, Parents), Type (Education Software, Learning Management Systems (LMS), Student Information Systems (SIS), School Management Software, Online Learning Platforms) and Geography(North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA)

  9. Data from: High-Resolution Orthorectified Imagery from 1985, Niwot Ridge...

    • search.dataone.org
    • portal.edirepository.org
    Updated Apr 5, 2019
    + more versions
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    William Manley; Eric Parrish; Leanne Lestak (2019). High-Resolution Orthorectified Imagery from 1985, Niwot Ridge LTER Project Area, Colorado [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-nwt%2F704%2F2
    Explore at:
    Dataset updated
    Apr 5, 2019
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    William Manley; Eric Parrish; Leanne Lestak
    Time period covered
    Sep 6, 1985
    Area covered
    Description

    Citation: Manley, W.F., Parrish, E.G., and Lestak, L.R., 2009, High-Resolution Orthorectified Imagery and Digital Elevation Models for Study of Environmental Change at Niwot Ridge and Green Lakes Valley, Colorado: Niwot Ridge LTER, INSTAAR, University of Colorado at Boulder, digital media. This image is a mosaic of orthorectified aerial photography from 1985 for the Niwot Ridge Long Term Ecological Research (LTER) project area at 0.8 m resolution. The image also covers the Green Lakes Valley portion of the Boulder Creek Critical Zone Observatory (CZO). The mosaic has the qualities of a photograph and the functionality of a map layer for use in Geographic Information Systems (GIS) or remote sensing software. The mosaic is derived from approx. 1:58,000 scale, color infrared (CIR) photographs acquired by the United States Geological Survery (USGS) National High Altitude Photography Program (NHAP). The aerial photos were obtained as 1800 dpi digital scans from the USGS EROS Data Center (EDC) and then fully orthorectified in a Leica Photogrammetry Suite (LPS) bundle blockfile using an air-photo camera model, a Digital Elevation Model (DEM), and known focal length and fiducial coordinates from a calibration report. Individual photo frames were mosaiced with cutlines and clipped to the Niwot project extent area. The photography was registered to 2008 orthocorrected Denver Region Council of Governments (DRCOG) aerial photography. Horizontal accuracy is 1 m (RMSE, relative to the 2008 reference imagery, based on 9 independent check points). The mosaic covers an area of 98 km2 and is available in GeoTIFF format, in a UTM zone 13 projection and NAD83 horizontal datum, with FGDC-compliant metadata. The mosaic is available through an unrestricted public license, and can be obtained by request (see Distributor contact information below). Other datasets available in this series includes orthorectified aerial photograph mosaics (for 1953, 1972, 1990, 1999, 2000, 2002, 2004, 2006 and 2008), digital elevation models (DEM's), and accessory map layers. Together, the DEM's and imagery will be of interest to students, research scientists, and others for observation and analysis of natural features and ecosystems. NOTE: This EML metadata file does not contain important geospatial data processing information. Before using any NWT LTER geospatial data read the arcgis metadata XML file in either ISO or FGDC compliant format, using ArcGIS software (ArcCatalog > description), or by viewing the .xml file provided with the geospatial dataset.

  10. m

    Education Software Development Service Market Size, Share & Industry...

    • marketresearchintellect.com
    Updated Jun 15, 2024
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    Market Research Intellect (2024). Education Software Development Service Market Size, Share & Industry Analysis 2033 [Dataset]. https://www.marketresearchintellect.com/product/education-software-development-service-market/
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    Dataset updated
    Jun 15, 2024
    Dataset authored and provided by
    Market Research Intellect
    License

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

    Area covered
    Global
    Description

    The size and share of this market is categorized based on Type (Student Information Systems, Learning Management Systems, Others) and Application (Middle School, College, Others) and geographical regions (North America, Europe, Asia-Pacific, South America, Middle-East and Africa).

  11. f

    Geographic Information Systems, spatial analysis, and HIV in Africa: A...

    • plos.figshare.com
    docx
    Updated Jun 1, 2023
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    Danielle C. Boyda; Samuel B. Holzman; Amanda Berman; M. Kathyrn Grabowski; Larry W. Chang (2023). Geographic Information Systems, spatial analysis, and HIV in Africa: A scoping review [Dataset]. http://doi.org/10.1371/journal.pone.0216388
    Explore at:
    docxAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Danielle C. Boyda; Samuel B. Holzman; Amanda Berman; M. Kathyrn Grabowski; Larry W. Chang
    License

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

    Description

    IntroductionGeographic Information Systems (GIS) and spatial analysis are emerging tools for global health, but it is unclear to what extent they have been applied to HIV research in Africa. To help inform researchers and program implementers, this scoping review documents the range and depth of published HIV-related GIS and spatial analysis research studies conducted in Africa.MethodsA systematic literature search for articles related to GIS and spatial analysis was conducted through PubMed, EMBASE, and Web of Science databases. Using pre-specified inclusion criteria, articles were screened and key data were abstracted. Grounded, inductive analysis was conducted to organize studies into meaningful thematic areas.Results and discussionThe search returned 773 unique articles, of which 65 were included in the final review. 15 different countries were represented. Over half of the included studies were published after 2014. Articles were categorized into the following non-mutually exclusive themes: (a) HIV geography, (b) HIV risk factors, and (c) HIV service implementation. Studies demonstrated a broad range of GIS and spatial analysis applications including characterizing geographic distribution of HIV, evaluating risk factors for HIV, and assessing and improving access to HIV care services.ConclusionsGIS and spatial analysis have been widely applied to HIV-related research in Africa. The current literature reveals a diversity of themes and methodologies and a relatively young, but rapidly growing, evidence base.

  12. f

    Apostasy of an “Anti-Assessment” Curmudgeon: Developing a Geographic Concept...

    • tandf.figshare.com
    docx
    Updated May 31, 2023
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    Paul C. Sutton; Xuantong Wang; Bingxin Qi (2023). Apostasy of an “Anti-Assessment” Curmudgeon: Developing a Geographic Concept Inventory for Assessing Program-Level Learning Outcomes in a Department of Geography [Dataset]. http://doi.org/10.6084/m9.figshare.19422276.v1
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    docxAvailable download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Taylor & Francis
    Authors
    Paul C. Sutton; Xuantong Wang; Bingxin Qi
    License

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

    Description

    Apostasy is defined as the abandonment or renunciation of a religious or political belief. This article describes the apostasy of a professor of geography with respect to their initial hostility toward the utility of learning outcomes assessments. This apostasy motivated the development of assessment instruments that could provide evidence that graduating geography and environmental science majors possessed more skills and knowledge and confidence in their skills and knowledge than they did as incoming first-year students. The instruments we developed for learning outcomes assessment are described and presented. Qualitative and statistical analyses of several years of data demonstrate statistically significant improvements in the objective quizzes and self-assessments of the graduating students. The results provided a satisfying body of evidence suggesting that the teaching and learning taking place in our department are effective while also identifying some issues we need to address. These data provide a mechanism for the faculty to reflect on our curriculum and teaching practices to identify ways to improve them. These instruments are used on an on-going basis to inform departmental program reviews, to field inquiries from accreditation teams, and to promote the department within the university.

  13. St. Paul Then and Now

    • library.ncge.org
    Updated Jul 28, 2021
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    NCGE (2021). St. Paul Then and Now [Dataset]. https://library.ncge.org/documents/NCGE::st-paul-then-and-now--1/about
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    Dataset updated
    Jul 28, 2021
    Dataset provided by
    National Council for Geographic Educationhttp://www.ncge.org/
    Authors
    NCGE
    License

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

    Area covered
    Saint Paul
    Description

    Author: D Schwarze, educator, Minnesota Alliance for Geographic EducationGrade/Audience: high schoolResource type: lessonSubject topic(s): gis, urban geographyRegion: united statesStandards: Minnesota Social Studies Standards

    Standard 1. People use geographic representations and geospatial technologies to acquire, process and report information within a spatial context.

    Standard 2. Geographic Inquiry is a process in which people ask geographic questions and gather, organize and analyze information to solve problems and plan for the future.

    Standard 3. Places have physical characteristics (such as climate, topography and vegetation) and human characteristics (such as culture, population, political and economic systems).

    Standard 6. Geographic factors influence the distribution, functions, growth and patterns of cities and human settlements.Objectives: Students will be able to:

    1. Use ArcGIS to analyze data.
    2. Use maps as primary documents.
    3. Analyze how Saint Paul has changed from 1908 to 2014.
    4. Express several major changes that Saint Paul has undergone in the past 100 years.
    5. Evaluate the best location for a new high school in Saint Paul.Summary: Students will use ArcGIS software to explore Saint Paul in 1908 and today by looking at their own neighborhoods and several landmarks. The “Saint Paul—Then and Now” ArcGIS map has a layer of a 1908 plat map of Saint Paul, overlaid on a 2014 street map of Saint Paul. Using ArcGIS Online, students will investigate the changes that have occurred to Saint Paul. Finally, students will predict where a new high school should be built in fifty years using the “Saint Paul Public Schools Area” ArcGIS map, which has numerous layers. As an extension, students could write a letter describing what has changed in Saint Paul from 2014 to the year 2064.
  14. o

    Geographic Diversity in Public Code Contributions — Replication Package

    • explore.openaire.eu
    • data.niaid.nih.gov
    Updated Mar 28, 2022
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    Davide Rossi; Stefano Zacchiroli (2022). Geographic Diversity in Public Code Contributions — Replication Package [Dataset]. http://doi.org/10.5281/zenodo.6390354
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    Dataset updated
    Mar 28, 2022
    Authors
    Davide Rossi; Stefano Zacchiroli
    Description

    Geographic Diversity in Public Code Contributions - Replication Package This document describes how to replicate the findings of the paper: Davide Rossi and Stefano Zacchiroli, 2022, Geographic Diversity in Public Code Contributions - An Exploratory Large-Scale Study Over 50 Years. In 19th International Conference on Mining Software Repositories (MSR ’22), May 23-24, Pittsburgh, PA, USA. ACM, New York, NY, USA, 5 pages. https://doi.org/10.1145/3524842.3528471 This document comes with the software needed to mine and analyze the data presented in the paper. Prerequisites These instructions assume the use of the bash shell, the Python programming language, the PosgreSQL DBMS (version 11 or later), the zstd compression utility and various usual *nix shell utilities (cat, pv, …), all of which are available for multiple architectures and OSs. It is advisable to create a Python virtual environment and install the following PyPI packages: click==8.0.4 cycler==0.11.0 fonttools==4.31.2 kiwisolver==1.4.0 matplotlib==3.5.1 numpy==1.22.3 packaging==21.3 pandas==1.4.1 patsy==0.5.2 Pillow==9.0.1 pyparsing==3.0.7 python-dateutil==2.8.2 pytz==2022.1 scipy==1.8.0 six==1.16.0 statsmodels==0.13.2 Initial data swh-replica, a PostgreSQL database containing a copy of Software Heritage data. The schema for the database is available at https://forge.softwareheritage.org/source/swh-storage/browse/master/swh/storage/sql/. We retrieved these data from Software Heritage, in collaboration with the archive operators, taking an archive snapshot as of 2021-07-07. We cannot make these data available in full as part of the replication package due to both its volume and the presence in it of personal information such as user email addresses. However, equivalent data (stripped of email addresses) can be obtained from the Software Heritage archive dataset, as documented in the article: Antoine Pietri, Diomidis Spinellis, Stefano Zacchiroli, The Software Heritage Graph Dataset: Public software development under one roof. In proceedings of MSR 2019: The 16th International Conference on Mining Software Repositories, May 2019, Montreal, Canada. Pages 138-142, IEEE 2019. http://dx.doi.org/10.1109/MSR.2019.00030. Once retrieved, the data can be loaded in PostgreSQL to populate swh-replica. names.tab - forenames and surnames per country with their frequency zones.acc.tab - countries/territories, timezones, population and world zones c_c.tab - ccTDL entities - world zones matches Data preparation Export data from the swh-replica database to create commits.csv.zst and authors.csv.zst sh> ./export.sh Run the authors cleanup script to create authors--clean.csv.zst sh> ./cleanup.sh authors.csv.zst Filter out implausible names and create authors--plausible.csv.zst sh> pv authors--clean.csv.zst | unzstd | ./filter_names.py 2> authors--plausible.csv.log | zstdmt > authors--plausible.csv.zst Zone detection by email Run the email detection script to create author-country-by-email.tab.zst sh> pv authors--plausible.csv.zst | zstdcat | ./guess_country_by_email.py -f 3 2> author-country-by-email.csv.log | zstdmt > author-country-by-email.tab.zst Database creation and initial data ingestion Create the PostgreSQL DB sh> createdb zones-commit Notice that from now on when prepending the psql> prompt we assume the execution of psql on the zones-commit database. Import data into PostgreSQL DB sh> ./import_data.sh Zone detection by name Extract commits data from the DB and create commits.tab, that is used as input for the zone detection script sh> psql -f extract_commits.sql zones-commit Run the world zone detection script to create commit_zones.tab.zst sh> pv commits.tab | ./assign_world_zone.py -a -n names.tab -p zones.acc.tab -x -w 8 | zstdmt > commit_zones.tab.zst Use ./assign_world_zone.py --help if you are interested in changing the script parameters. Ingest zones assignment data into the DB psql> \copy commit_zone from program 'zstdcat commit_zones.tab.zst | cut -f1,6 | grep -Ev ''\s$''' Extraction and graphs Run the script to execute the queries to extract the data to plot from the DB. This creates commit_zones_7120.tab, author_zones_7120_t5.tab, commit_zones_7120.grid and author_zones_7120_t5.grid. Edit extract_data.sql if you whish to modify extraction parameters (start/end year, sampling, …). sh> ./extract_data.sh Run the script to create the graphs from all the previously extracted tabfiles. sh> ./create_stackedbar_chart.py -w 20 -s 1971 -f commit_zones_7120.grid -f author_zones_7120_t5.grid -o chart.pdf

  15. sample_regional_data

    • figshare.com
    application/x-dbf
    Updated Oct 13, 2021
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    You Wan (2021). sample_regional_data [Dataset]. http://doi.org/10.6084/m9.figshare.16803739.v1
    Explore at:
    application/x-dbfAvailable download formats
    Dataset updated
    Oct 13, 2021
    Dataset provided by
    figshare
    Figsharehttp://figshare.com/
    Authors
    You Wan
    License

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

    Description

    All the simulated benchmark regional data.

  16. h

    Global Literacy Software for Kids Market Size, Growth & Revenue 2023-2030

    • htfmarketinsights.com
    pdf & excel
    Updated Nov 14, 2024
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    HTF Market Intelligence (2024). Global Literacy Software for Kids Market Size, Growth & Revenue 2023-2030 [Dataset]. https://www.htfmarketinsights.com/report/2484214-literacy-software-for-kids-market
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    pdf & excelAvailable download formats
    Dataset updated
    Nov 14, 2024
    Dataset authored and provided by
    HTF Market Intelligence
    License

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

    Time period covered
    2019 - 2031
    Area covered
    Global
    Description

    Global Literacy Software for Kids is segmented by Application (Early Childhood Education, E-learning, Parent Support, School Programs, Language Development), Type (Reading Apps, Phonics Programs, Spelling Games, Storytelling Apps, Vocabulary Builders) and Geography(North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA)

  17. m

    BSGMe Research Data and Code

    • data.mendeley.com
    • eprints.soton.ac.uk
    Updated Dec 1, 2019
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    Jeremiah J. Nieves (2019). BSGMe Research Data and Code [Dataset]. http://doi.org/10.17632/cm6bnzvzfj.1
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    Dataset updated
    Dec 1, 2019
    Authors
    Jeremiah J. Nieves
    License

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

    Description

    Contains the output and derived datasets and code from the corresponding validation paper on the Built Settlement Growth Model - extrapolative

  18. f

    GIS Research UK (GISRUK) 2015 Proceedings

    • figshare.com
    pdf
    Updated May 30, 2023
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    Nick Malleson; Nicholas Addis; Helen Durham; Alison Heppenstall; Robin Lovelace; Paul Norman; Rachel Oldroyd (2023). GIS Research UK (GISRUK) 2015 Proceedings [Dataset]. http://doi.org/10.6084/m9.figshare.1491375.v2
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    pdfAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    figshare
    Authors
    Nick Malleson; Nicholas Addis; Helen Durham; Alison Heppenstall; Robin Lovelace; Paul Norman; Rachel Oldroyd
    License

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

    Area covered
    United Kingdom
    Description

    This volume contains the papers presented at GIS Research UK 2015 (GISRUK2015) held at the School of Geography, University of Leeds, on 15-17 April 2015.

  19. n

    A geography aware reconciliation method to investigate diversification...

    • data.niaid.nih.gov
    • datadryad.org
    zip
    Updated Apr 30, 2018
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    Vincent Berry; François Chevenet; Jean-Philippe Doyon; Emmanuelle Jousselin (2018). A geography aware reconciliation method to investigate diversification patterns in host/parasite cospeciation interactions [Dataset]. http://doi.org/10.5061/dryad.dv164
    Explore at:
    zipAvailable download formats
    Dataset updated
    Apr 30, 2018
    Dataset provided by
    Centre National de la Recherche Scientifique
    Institut Agro Montpellier
    Authors
    Vincent Berry; François Chevenet; Jean-Philippe Doyon; Emmanuelle Jousselin
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Description

    Cospeciation studies aim at investigating whether hosts and symbionts speciate simultaneously or whether the associations diversify through host shifts. This problem is often tackled through reconciliation analyses that map the symbiont phylogeny onto the host phylogeny by mixing different types of diversification events. These reconciliations can be difficult to interpret and not always biologically realistic. Researchers have underlined that the biogeographic histories of both hosts and symbionts influence the probability of cospeciation and host switches, but up to now no reconciliation software integrates geographic data. We present a new functionality in the Mowgli software that bridges this gap. The user can provide geographic information on both the host and symbiont extant and ancestral taxa. Constraints in the reconciliation algorithm have been implemented to generate biologically realistic codiversification scenarios.. We apply our method to the fig/fig wasp association and infer diversification scenarios that differ from reconciliations ignoring geographic information. In addition, we updated the reconciliation viewer SylvX in order to visualize ancestral characters states on the phylogenetic trees and highlight zones that are geographically inconsistent in reconciliations computed without geographic constraintse. We suggest that the comparison of reconciliations obtained with and without geographic constraints can sometimes help solving ambiguities in the biogeographic histories of the partners. With the development of robust methods in historical biogeography and the advent of next-generation sequencing that leads to better-resolved trees, a geography aware reconciliation method represents a substantial advance that is likely to be useful to researchers studying the evolution of biotic interactions and biogeography.

  20. m

    BSGMiv1a Research Data and Code

    • data.mendeley.com
    • eprints.soton.ac.uk
    Updated Sep 15, 2019
    + more versions
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    Jeremiah Nieves (2019). BSGMiv1a Research Data and Code [Dataset]. http://doi.org/10.17632/f366zsg6hh.3
    Explore at:
    Dataset updated
    Sep 15, 2019
    Authors
    Jeremiah Nieves
    License

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

    Description

    Contains the output datasets and code from the corresponding validation paper on the Built Settlement Growth Model - interpolative

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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
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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

Explore at:
Dataset updated
Jul 15, 2024
Dataset provided by
TechNavio
Authors
Technavio
Time period covered
2021 - 2025
Area covered
United Kingdom, Germany, Canada, France, United States, Global
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?

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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,

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