100+ datasets found
  1. m

    GeoStoryTelling

    • data.mendeley.com
    Updated Apr 21, 2023
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    Manuel Gonzalez Canche (2023). GeoStoryTelling [Dataset]. http://doi.org/10.17632/nh2c5t3vf9.1
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    Dataset updated
    Apr 21, 2023
    Authors
    Manuel Gonzalez Canche
    License

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

    Description

    Database created for replication of GeoStoryTelling. Our life stories evolve in specific and contextualized places. Although our homes may be our primarily shaping environment, our homes are themselves situated in neighborhoods that expose us to the immediate “real world” outside home. Indeed, the places where we are currently experiencing, and have experienced life, play a fundamental role in gaining a deeper and more nuanced understanding of our beliefs, fears, perceptions of the world, and even our prospects of social mobility. Despite the immediate impact of the places where we experience life in reaching a better understanding of our life stories, to date most qualitative and mixed methods researchers forego the analytic and elucidating power that geo-contextualizing our narratives bring to social and health research. From this view then, most research findings and conclusions may have been ignoring the spatial contexts that most likely have shaped the experiences of research participants. The main reason for the underuse of these geo-contextualized stories is the requirement of specialized training in geographical information systems and/or computer and statistical programming along with the absence of cost-free and user-friendly geo-visualization tools that may allow non-GIS experts to benefit from geo-contextualized outputs. To address this gap, we present GeoStoryTelling, an analytic framework and user-friendly, cost-free, multi-platform software that enables researchers to visualize their geo-contextualized data narratives. The use of this software (available in Mac and Windows operative systems) does not require users to learn GIS nor computer programming to obtain state-of-the-art, and visually appealing maps. In addition to providing a toy database to fully replicate the outputs presented, we detail the process that researchers need to follow to build their own databases without the need of specialized external software nor hardware. We show how the resulting HTML outputs are capable of integrating a variety of multi-media inputs (i.e., text, image, videos, sound recordings/music, and hyperlinks to other websites) to provide further context to the geo-located stories we are sharing (example https://cutt.ly/k7X9tfN). Accordingly, the goals of this paper are to describe the components of the methodology, the steps to construct the database, and to provide unrestricted access to the software tool, along with a toy dataset so that researchers may interact first-hand with GeoStoryTelling and fully replicate the outputs discussed herein. Since GeoStoryTelling relied on OpenStreetMap its applications may be used worldwide, thus strengthening its potential reach to the mixed methods and qualitative scientific communities, regardless of location around the world. Keywords: Geographical Information Systems; Interactive Visualizations; Data StoryTelling; Mixed Methods & Qualitative Research Methodologies; Spatial Data Science; Geo-Computation.

  2. Geographic Data Science with R

    • figshare.com
    zip
    Updated Mar 24, 2023
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    Michael Wimberly (2023). Geographic Data Science with R [Dataset]. http://doi.org/10.6084/m9.figshare.21301212.v3
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    zipAvailable download formats
    Dataset updated
    Mar 24, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Michael Wimberly
    License

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

    Description

    Data files for the examples in the book Geographic Data Science in R: Visualizing and Analyzing Environmental Change by Michael C. Wimberly.

  3. a

    QGIS Training Tutorials: Using Spatial Data in Geographic Information...

    • catalogue.arctic-sdi.org
    • datasets.ai
    • +2more
    Updated Oct 28, 2019
    + more versions
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    QGIS Training Tutorials: Using Spatial Data in Geographic Information Systems [Dataset]. https://catalogue.arctic-sdi.org/geonetwork/srv/search?format=MOV
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    Dataset updated
    Oct 28, 2019
    Description

    Have you ever wanted to create your own maps, or integrate and visualize spatial datasets to examine changes in trends between locations and over time? Follow along with these training tutorials on QGIS, an open source geographic information system (GIS) and learn key concepts, procedures and skills for performing common GIS tasks – such as creating maps, as well as joining, overlaying and visualizing spatial datasets. These tutorials are geared towards new GIS users. We’ll start with foundational concepts, and build towards more advanced topics throughout – demonstrating how with a few relatively easy steps you can get quite a lot out of GIS. You can then extend these skills to datasets of thematic relevance to you in addressing tasks faced in your day-to-day work.

  4. Geospatial Analytics Market Size, Insights, Trends & Share Report, 2035

    • rootsanalysis.com
    Updated Sep 10, 2024
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    Roots Analysis (2024). Geospatial Analytics Market Size, Insights, Trends & Share Report, 2035 [Dataset]. https://www.rootsanalysis.com/geospatial-analytics-market
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    Dataset updated
    Sep 10, 2024
    Dataset provided by
    Authors
    Roots Analysis
    License

    https://www.rootsanalysis.com/privacy.htmlhttps://www.rootsanalysis.com/privacy.html

    Time period covered
    2021 - 2031
    Area covered
    Global
    Description

    The geospatial analytics market size is predicted to rise from $93.49 billion in 2024 to $362.45 billion by 2035, growing at a CAGR of 13.1% from 2024 to 2035.

  5. d

    Mapping Census data from CHASS

    • search.dataone.org
    Updated Dec 28, 2023
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    Tomasz Mrozewski; Francine Berish (2023). Mapping Census data from CHASS [Dataset]. http://doi.org/10.5683/SP3/JEW5YG
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Tomasz Mrozewski; Francine Berish
    Description

    This 90 minute session will cover data discovery and extraction via the CHASS Census Analyzer and basic GIS visualization. We will highlight the added value features of using CHASS compared to Statistics Canada Census Profiles. We will provide an overview of the steps involved in visualizing Census data in ArcGIS, including data elements and major processes. This session will also feature a critical discussion on visualizing Census data in GIS software, focusing on the technical expertise required to produce usable visualizations as well as the responsibility (and credit) for producing visualizations.

  6. f

    Data_Sheet_1_Testing the Usability of a Software for Geospatial and...

    • frontiersin.figshare.com
    pdf
    Updated Jun 1, 2023
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    Jessalyn K. Holodinsky; Michael J. Francis; Mayank Goyal; Michael D. Hill; Noreen Kamal (2023). Data_Sheet_1_Testing the Usability of a Software for Geospatial and Transport Modeling in Acute Stroke Service Planning.pdf [Dataset]. http://doi.org/10.3389/fneur.2019.00694.s001
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    pdfAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    Frontiers
    Authors
    Jessalyn K. Holodinsky; Michael J. Francis; Mayank Goyal; Michael D. Hill; Noreen Kamal
    License

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

    Description

    Introduction: Geographic visualizations have been used to understand disease since the nineteenth century. We developed a software that creates simple visualizations which can be used as a decision support tool for pre-hospital acute stroke transportation planning. In this study, we test the usability of this software to improve user experience and assess the interpretability of the visualizations it produces as it relates to planning and optimizing stroke systems of care.Materials and Methods: Healthcare practitioners and administrators working within the acute stroke system in Alberta, Canada were invited to participate. Participants were randomized to either the geographic visualization or 2-D temporospatial diagrams. Using a standardized script participants were asked to complete tasks and interpret the visualizations produced by the software. The computer screen and audio were recorded. Recordings were transcribed verbatim and analyzed using inductive thematic analyses. The number of errors made and time to task completion were also analyzed.Results: Eighteen participants (8 physicians, 5 healthcare administrators, 3 paramedics, and 2 nurses) were enrolled. Mean age was 41.22 years (SD: 10.55) and 8 participants were female. It took users a mean of 1.59 min (SD: 0.71) to complete all 10 tasks for the geographic visualizations and a mean of 1.08 min (SD: 0.33) to complete all 15 tasks for the 2-D temporospatial diagrams. Map users made a median of 2 errors (IQR: 4), 2-D temporospatial diagram users also made a median of 2 errors (IQR: 1.5). All but one map user correctly interpreted all maps, only three of the eight 2-D temporospatial diagram correctly interpreted all diagrams. In the qualitative analysis three common themes were identified: comments on the user interface, comments on the visualization tool(s), and suggestions for improvement. Most study participants mentioned that the software would be useful in their work.Conclusions: Healthcare professional from several different aspects of stroke care see geographic visualizations in transport decision making to be a useful tool. The software demonstrated high usability. However, several suggestions were made to improve user experience as well as additional features which could be developed and become the subject of future studies.

  7. G

    Geospatial Imagery Analytics Market Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Dec 24, 2024
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    Market Research Forecast (2024). Geospatial Imagery Analytics Market Report [Dataset]. https://www.marketresearchforecast.com/reports/geospatial-imagery-analytics-market-1816
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Dec 24, 2024
    Dataset authored and provided by
    Market Research Forecast
    License

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

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

    The Geospatial Imagery Analytics Marketsize was valued at USD 11.88 USD Billion in 2023 and is projected to reach USD 83.39 USD Billion by 2032, exhibiting a CAGR of 32.1 % during the forecast period.Geospatial analytics gathers, manipulates, and displays geographic information system (GIS) data and imagery including GPS and satellite photographs. Geospatial data analytics rely on geographic coordinates and specific identifiers such as street address and zip code. geospatial visualization enables businesses to better understand complex information and make informed decisions. They can quickly see patterns and trends and assess the impact of different variables by visualizing data in a spatial context. The field encompasses several techniques and algorithms, such as spatial interpolation, spatial regression, spatial clustering, and spatial autocorrelation analysis, which help extract insights from various geospatial data sources. The growing adoption of location-based services in various industries, including agriculture, defense, and urban planning, is driving the demand for geospatial imagery analytics. Recent developments include: August 2023: onX, a digital navigation company, partnered with Planet Labs PBC, a satellite imagery provider, to introduce a new feature called ‘Recent Imagery’. This feature offers onX app users updated satellite imagery maps every two weeks, enhancing the user experience across onX Hunt, onX Offroad, and onX Backcountry apps. This frequent data update helps outdoor enthusiasts access real-time information for safer and more informed outdoor activities., August 2023: Quant Data & Analytics, a provider of data products and enterprise solutions for real estate and retail, partnered with Satellogic Inc. to utilize Satellogic’s high-resolution satellite imagery to enhance property technology in Saudi Arabia and the Gulf region., April 2023: Astraea, a spatiotemporal data and analytics platform, introduced a new ordering service that grants customers scalable access to top-tier commercial satellite imagery from providers such as Planet Labs PBC and others., May 2022: Satellogic Inc. established a partnership with UP42. This geospatial developer platform enables direct access to Satellogic’s satellite tasking capabilities, including high-resolution multispectral and wide-area hyperspectral imagery, through the UP42 API-based platform., April 2022: TomTom International BV, a geolocation tech company, broadened its partnership with Maxar Technologies, a space solution provider. This expansion involves integrating high-resolution global satellite imagery from Maxar’s Vivid imagery base maps into TomTom’s product lineup, enhancing their visualization solutions for customers.. Key drivers for this market are: Growing Demand for Location-based Insights across Diverse Industries to Fuel Market Growth. Potential restraints include: Complexity and Cost Associated with Data Acquisition and Processing May Hamper Market Growth. Notable trends are: Growing Implementation of Touch-based and Voice-based Infotainment Systems to Increase Adoption of Intelligent Cars.

  8. I

    Interactive Map Creation Tools Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 28, 2025
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    Data Insights Market (2025). Interactive Map Creation Tools Report [Dataset]. https://www.datainsightsmarket.com/reports/interactive-map-creation-tools-1418201
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    pdf, doc, pptAvailable download formats
    Dataset updated
    Jun 28, 2025
    Dataset authored and provided by
    Data Insights Market
    License

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

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

    The interactive map creation tools market is experiencing robust growth, driven by increasing demand for visually engaging data representation across diverse sectors. The market, estimated at $2.5 billion in 2025, is projected to witness a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $7.8 billion by 2033. This expansion is fueled by several key factors. The rising adoption of location-based services (LBS) and geographic information systems (GIS) across industries like real estate, tourism, logistics, and urban planning is a major catalyst. Businesses are increasingly leveraging interactive maps to enhance customer engagement, improve operational efficiency, and gain valuable insights from geospatial data. Furthermore, advancements in mapping technologies, including the integration of AI and machine learning for improved data analysis and visualization, are contributing to market growth. The accessibility of user-friendly tools, coupled with the decreasing cost of cloud-based solutions, is also making interactive map creation more accessible to a wider range of users, from individuals to large corporations. However, the market also faces certain challenges. Data security and privacy concerns surrounding the use of location data are paramount. The need for specialized skills and expertise to effectively utilize advanced mapping technologies may also hinder broader adoption, particularly among smaller businesses. Competition among established players like Mapbox, ArcGIS StoryMaps, and Google, alongside emerging innovative solutions, necessitates constant innovation and differentiation. Nevertheless, the overall market outlook remains positive, with continued technological advancements and rising demand for data visualization expected to propel growth in the coming years. Specific market segmentation data, while unavailable, can be reasonably inferred from existing market trends, suggesting a strong dominance of enterprise-grade solutions, but with substantial growth expected from simpler, more user-friendly tools designed for individuals and small businesses.

  9. I

    Interactive Map Creation Tools Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Apr 3, 2025
    + more versions
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    Market Report Analytics (2025). Interactive Map Creation Tools Report [Dataset]. https://www.marketreportanalytics.com/reports/interactive-map-creation-tools-55534
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    doc, pdf, pptAvailable download formats
    Dataset updated
    Apr 3, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

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

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

    The interactive map creation tools market is experiencing robust growth, driven by increasing demand for visually engaging data representation across diverse sectors. The market's value is estimated at $2 billion in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several factors, including the rising adoption of location-based services, the proliferation of readily available geographic data, and the growing need for effective data visualization in business intelligence and marketing. The individual user segment currently holds a significant share, but corporate adoption is rapidly expanding, propelled by the need for sophisticated map-based analytics and internal communication. Furthermore, the paid use segment is anticipated to grow more quickly than the free use segment, reflecting the willingness of businesses and organizations to invest in advanced features and functionalities. This trend is further amplified by the increasing integration of interactive maps into various platforms, such as business intelligence dashboards and website content. Geographic expansion is also a significant growth driver. North America and Europe currently dominate the market, but the Asia-Pacific region is showing significant promise due to rapid technological advancements and increasing internet penetration. Competitive pressures remain high, with established players such as Google, Mapbox, and ArcGIS StoryMaps vying for market share alongside innovative startups offering specialized solutions. The market's restraints are primarily focused on the complexities of data integration and the technical expertise required for effective map creation. However, ongoing developments in user-friendly interfaces and readily available data integration tools are mitigating these challenges. The future of the interactive map creation tools market promises even greater innovation, fueled by developments in augmented reality (AR), virtual reality (VR), and 3D visualization technologies. We expect to see the emergence of more sophisticated tools catering to niche requirements, further driving market segmentation and specialization. Continued investment in research and development will also play a crucial role in pushing the boundaries of what's possible with interactive map creation. The market presents opportunities for companies to develop tools which combine data analytics and interactive map design.

  10. G

    Geospatial Analytics Market Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Jan 10, 2025
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    Market Research Forecast (2025). Geospatial Analytics Market Report [Dataset]. https://www.marketresearchforecast.com/reports/geospatial-analytics-market-1650
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Jan 10, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

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

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

    The Geospatial Analytics Market size was valued at USD 79.06 USD billion in 2023 and is projected to reach USD 202.74 USD billion by 2032, exhibiting a CAGR of 14.4 % during the forecast period. The growing adoption of location-based technologies and the increasing need for data-driven decision-making in various industries are key factors driving market growth. Geospatial analytics captures, produces and displays GIS (geographic information system)-maps and pictures that may be weather maps, GPS or satellite photos. The geospatial analysis as a tool works with state of art technology in every formats namely; the GPS, sensors that locates, social media, mobile devices, multi of the satellite imagery to produce data visualizations that are facilitating trend-finding in complex relations between people and places as well are the situations' understanding. Visualizations are depicted through the use of maps, graphs, figures, and cartograms that illustrate the entire historical picture as well as a current changing trend. This is why the forecast becomes more confident and the situation is anticipated better. Recent developments include: February 2024: Placer.ai and Esri, a Geographic Information System (GIS) technology provider, partnered to empower customers with enhanced analytics capabilities, integrating consumer behavior analysis. Additionally, the agreement will foster collaborations to unlock further features by synergizing our respective product offerings., December 2023: CKS and Esri India Technologies Pvt Ltd teamed up to introduce the 'MMGEIS' program, focusing on students from 8th grade to undergraduates, to position India as a global leader in geospatial technology through skill development and innovation., December 2023: In collaboration with Bayanat, the UAE Space Agency revealed the initiation of the operational phase of the Geospatial Analytics Platform during its participation in organizing the Space at COP28 initiatives., November 2023: USAID unveiled its inaugural Geospatial Strategy, designed to harness geospatial data and technology for more targeted international program delivery. The strategy foresees a future where geographic methods enhance the effectiveness of USAID's efforts by pinpointing development needs, monitoring program implementation, and evaluating outcomes based on location., May 2023: TomTom International BV, a geolocation technology specialist, expanded its partnership with Alteryx, Inc. Through this partnership, Alteryx will use TomTom’s Maps APIs and location data to integrate spatial data into Alteryx’s products and location insights packages, such as Alteryx Designer., May 2023: Oracle Corporation announced the launch of Oracle Spatial Studio 23.1, available in the Oracle Cloud Infrastructure (OCI) marketplace and for on-premises deployment. Users can browse, explore, and analyze geographic data stored in and managed by Oracle using a no-code mapping tool., May 2023: CAPE Analytics, a property intelligence company, announced an enhanced insurance offering by leveraging Google geospatial data. Google’s geospatial data can help CAPE create appropriate solutions for insurance carriers., February 2023: HERE Global B.V. announced a collaboration with Cognizant, an information technology, services, and consulting company, to offer digital customer experience using location data. In this partnership, Cognizant will utilize the HERE location platform’s real-time traffic data, weather, and road attribute data to develop spatial intelligent solutions for its customers., July 2022: Athenium Analytics, a climate risk analytics company, launched a comprehensive tornado data set on the Esri ArcGIS Marketplace. This offering, which included the last 25 years of tornado insights from Athenium Analytics, would extend its Bronze partner relationship with Esri. . Key drivers for this market are: Advancements in Technologies to Fuel Market Growth. Potential restraints include: Lack of Standardization Coupled with Shortage of Skilled Workforce to Limit Market Growth. Notable trends are: Rise of Web-based GIS Platforms Will Transform Market.

  11. Geospatial Analytics Software Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Geospatial Analytics Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-geospatial-analytics-software-market
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    csv, pptx, pdfAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Geospatial Analytics Software Market Outlook



    The global geospatial analytics software market size is projected to grow from USD 50.1 billion in 2023 to USD 114.5 billion by 2032, reflecting a robust compound annual growth rate (CAGR) of 9.5%. This remarkable growth is largely driven by the increasing adoption of geospatial technologies across various sectors, including urban planning, agriculture, transportation, and disaster management. The surge in the utilization of geospatial data for strategic decision-making, coupled with advancements in technology such as artificial intelligence (AI) and big data analytics, plays a pivotal role in propelling market growth.



    One of the key growth factors of the geospatial analytics software market is the rapid digital transformation occurring globally. Governments and enterprises are increasingly recognizing the value of geospatial data in enhancing operational efficiency and strategic planning. The rise in smart city initiatives across the world has bolstered the demand for geospatial analytics, as cities leverage these technologies to optimize infrastructure, manage resources, and improve public services. Additionally, the integration of AI and machine learning with geospatial analytics has enhanced the accuracy and predictive capabilities of these systems, further driving their adoption.



    Another significant driver is the growing need for disaster management and climate change adaptation. As the frequency and intensity of natural disasters increase due to climate change, there is a heightened demand for geospatial analytics to predict, monitor, and mitigate the impact of such events. Geospatial software aids in mapping hazard zones, planning evacuation routes, and assessing damage post-disaster. This capability is crucial for governments and organizations involved in disaster management and mitigation, thereby boosting the market growth.



    The transportation and logistics sector is also a major contributor to the growth of the geospatial analytics software market. The advent of autonomous vehicles and the continuous evolution of logistics and supply chain management have heightened the need for precise geospatial data. Geospatial analytics enables real-time tracking, route optimization, and efficient fleet management, which are critical for the smooth operation of transportation systems. This trend is expected to continue, driving the demand for geospatial analytics solutions in transportation and logistics.



    On a regional level, North America is anticipated to dominate the geospatial analytics software market, driven by technological advancements and substantial investments in geospatial technologies. The presence of major market players and the high adoption rate of advanced technologies in sectors such as defense, agriculture, and urban planning contribute to this dominance. However, the Asia Pacific region is expected to witness the highest growth rate, fueled by rapid urbanization, government initiatives for smart cities, and increasing investments in infrastructure development.



    GIS Software plays a crucial role in the geospatial analytics software market, offering powerful tools for data visualization, spatial analysis, and geographic mapping. As organizations across various sectors increasingly rely on geospatial data for strategic decision-making, GIS Software provides the necessary infrastructure to manage, analyze, and interpret this data effectively. Its integration with other technologies such as AI and machine learning enhances its capabilities, enabling more accurate predictions and insights. This makes GIS Software an indispensable component for industries like urban planning, agriculture, and transportation, where spatial data is pivotal for optimizing operations and improving outcomes. The growing demand for GIS Software is a testament to its importance in driving the geospatial analytics market forward.



    Component Analysis



    The geospatial analytics software market is segmented into software and services when considering components. The software segment includes comprehensive solutions that integrate various geospatial data types and provide analytical tools for mapping, visualization, and data processing. This segment is expected to hold the largest market share due to the increasing adoption of these solutions in various industries for efficient data management and decision-making. The continuous advancements in software capabilities, such as the inclusion of AI and machine learning algorithms

  12. c

    ckanext-mapactiongeorss

    • catalog.civicdataecosystem.org
    Updated Jun 4, 2025
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    (2025). ckanext-mapactiongeorss [Dataset]. https://catalog.civicdataecosystem.org/dataset/ckanext-mapactiongeorss
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    Dataset updated
    Jun 4, 2025
    Description

    The ckanext-mapactiongeorss extension appears to enhance CKAN's functionality, potentially by providing capabilities related to GeoRSS feeds, possibly for geographic data visualization or integration within the CKAN portal. While the readme provides minimal details, its purpose to integrate map-based information through GeoRSS seems plausible given the project name and the involvement of MapAction in its development. Given the limited information, specific functionalities are largely inferred. Key Features (Inferred): GeoRSS Feed Integration: Likely allows CKAN to ingest, process, and display data from GeoRSS feeds. Geographic Data Visualization: Potentially enables visualization of geographic datasets within CKAN, possibly through interactive maps. MapAction Specific Features: Might include functionalities tailored to MapAction's data workflows or formats. Data Harmonization: Potentially includes features for standardizing geospatial data formats. Technical Integration: The extension integrates with CKAN as a plugin, requiring activation in the CKAN configuration file (production.ini). While specific API endpoints or configuration options are not detailed in the readme, standard CKAN plugin installation procedures are expected. The plugin would likely have dependencies and configuration options relating to geospatial data handling. Benefits & Impact: Based on the involvement of MapAction and the potential GeoRSS functionalities, this extension is likely designed to streamline the integration and visualization of geospatial data within the CKAN environment. This would enhance CKAN's utility for organizations managing and sharing geospatial datasets, especially in contexts like humanitarian aid or disaster response. By providing such integrations, this has positive benefits and impact for geographic data management in CKAN. However, since the readme lacks specific functionality explanations, it is difficult to provide a thorough account. This plugin could potentially provide a visual user interface for users to understand their data.

  13. c

    ckanext-geomapviewer

    • catalog.civicdataecosystem.org
    Updated Jun 4, 2025
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    (2025). ckanext-geomapviewer [Dataset]. https://catalog.civicdataecosystem.org/dataset/ckanext-geomapviewer
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    Dataset updated
    Jun 4, 2025
    Description

    The ckanext-geomapviewer extension enhances CKAN's capabilities by providing functionality related to geographic data visualization. While the provided README offers limited details on its specific features and functionalities, it appears intended to integrate with CKAN, thereby streamlining the process of displaying and interacting with geospatial datasets which are contained in the CKAN catalog. It aims to allow users to visually represent geographic data, directly within the CKAN platform. Key Features: While specific features are not detailed in the README, it suggests the extension allows for the visualization of geospatial data. Based on the name, it can be inferred that it offers a map-based interface for exploring datasets. Potentially integrates with mapping libraries or services for rendering geospatial data. Technical Integration: The extension integrates with CKAN via the ckan.plugins setting , it must be enabled in the CKAN's configuration file (/etc/ckan/default/production.ini). Enabling the extension means that it modifies or extends the base CKAN system, such as adding new pages, modifying forms, or enhancing the functionality via a plugin mechanism. Post installation, the extension may require a CKAN restart to correctly implement its functionality. Benefits & Impact: By integrating with CKAN, the ckanext-geomapviewer extension may streamline the process of exploring and consuming geospatial data, potentially by offering: visual data exploration capabilities directly within CKAN; improved dataset discovery through spatial searching and filtering; and greater user engagement through dynamic data visualization. The extension will likely provide an intuitive way to find suitable datasets to visualize, potentially decreasing time spent searching for available resources.

  14. B

    Exploring the Potential of 3D Game Engines for Precise and Detailed...

    • borealisdata.ca
    • open.library.ubc.ca
    • +1more
    Updated Apr 17, 2025
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    Chenghao Yang (2025). Exploring the Potential of 3D Game Engines for Precise and Detailed Geo-Visualization in Forestry Education [Dataset]. http://doi.org/10.5683/SP3/FW6IR9
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 17, 2025
    Dataset provided by
    Borealis
    Authors
    Chenghao Yang
    License

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

    Time period covered
    Sep 14, 2017 - Oct 4, 2022
    Area covered
    Vancouver, British Columbia, Canada
    Description

    In response to the growing concern in geographic information science, which pertains to utilizing contemporary internet technology to communicate past information or knowledge for establishing foundations in geography. Recent studies have investigated geomatics solutions for historical city, and enhancing GIS skills through collaborative approach. In this study, we build upon prior research by exploring how the implementation of current technology can promote a cooperative learning environment, particularly within the realm of forestry education. Minetest, the 3D voxel game engine has high capability of modification, for visualizing natural environments and urban structures. The goal of this study was to investigate the potential of using the game engine for forestry education purposes. To meet this objective, we developed precise and detailed models of building structures and their surrounding environment. We also explored the visualization beyond 3D geospatial data, by generating analytical results of solar radiation on building roofs using GIS software. The visualization process was facilitated by the use of 3D light detection and ranging (LiDAR) data, provided by the UBC Campus + Community Planning department. The proposed approach proved to be effective in producing compatible geospatial data for visualization in the game engine. We also conducted exploratory statistical analysis to examine the relationship between building energy usage and solar radiation. The exploratory regression result of the solar radiation analysis has an R2adj of 0.19, which indicates its insignificant impact on building energy usage. Finally, the findings of this research provide a foundation for future studies that can continue to explore the potential of using 3D game engines. Keywords: 3D Geo-Visualization, Forestry Education, Remote Sensing, Light Detection and Ranging (LiDAR), Building Energy Usage, Solar Radiation Analysis

  15. Middle East Geospatial Analytics Market Size By Type(Geo Visualization,...

    • verifiedmarketresearch.com
    pdf,excel,csv,ppt
    Updated Jul 7, 2025
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    Verified Market Research (2025). Middle East Geospatial Analytics Market Size By Type(Geo Visualization, Network Analysis, Surface Analysis), By End-user Industry(Agriculture, Automotive and Transportation, Defense and Intelligence, Government, Healthcare, Mining and Natural Resources, Real Estate and Construction, Utility and Communication), By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/middle-east-geospatial-analytics-market/
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jul 7, 2025
    Dataset authored and provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    License

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

    Time period covered
    2026 - 2032
    Area covered
    Middle East
    Description

    Middle East Geospatial Analytics Market size was valued at USD 1.35 Billion in 2024 and is projected to reach USD 2.55 Billion by 2032, growing at a CAGR of 8.25% from 2026 to 2032.Key Market Drivers Government-Led Smart City Initiatives: The Middle East's ambitious transformation plans drive geospatial analytics market growth. The UAE Ministry of Infrastructure Development aims to have 60% of Dubai's infrastructure smart-enabled by 2025, necessitating extensive geospatial data analysis and mapping technologies to support urban planning, infrastructure development, and resource management.Critical Infrastructure Security and Resilience: Rising geopolitical tensions and the necessity for comprehensive national security policies drive up geospatial analytics investments in the Middle East. According to the Gulf Cooperation Council (GCC) Homeland Security Report 2023, countries are increasingly relying on advanced geospatial technologies to protect critical infrastructure, with an estimated 35% increase in geospatial intelligence investments aimed at strategic asset monitoring and risk mitigation.Rapid Urban Expansion and Resource Management: The Middle East's tremendous urban growth and complex environmental challenges present significant prospects for the geospatial analytics market expansion. According to the World Bank's 2024 regional report, urban populations in the Middle East are expected to increase by 55% by 2050, demanding advanced geospatial technologies for sustainable land use planning, water resource management, and climate adaptation methods.

  16. Geographic data of Indian cities

    • kaggle.com
    Updated Oct 12, 2022
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    YugalKishore (2022). Geographic data of Indian cities [Dataset]. https://www.kaggle.com/datasets/yugalkishore/geographic-data-of-indian-cities
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 12, 2022
    Dataset provided by
    Kaggle
    Authors
    YugalKishore
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Area covered
    India
    Description

    This Dataset is created for assisting all who are looking to make plots on the India map. It contains the geographical data of cities in India. It was created to make visualizations about places better.

  17. Geographic Information System GIS Tools Market Report | Global Forecast From...

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 12, 2024
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    Dataintelo (2024). Geographic Information System GIS Tools Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-geographic-information-system-gis-tools-market
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    pptx, pdf, csvAvailable download formats
    Dataset updated
    Sep 12, 2024
    Dataset authored and provided by
    Dataintelo
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Geographic Information System (GIS) Tools Market Outlook



    The global Geographic Information System (GIS) tools market size was valued at approximately USD 10.8 billion in 2023, and it is projected to reach USD 21.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 7.9% from 2024 to 2032. The increasing demand for spatial data analytics and the rising adoption of GIS tools across various industries are significant growth factors propelling the market forward.



    One of the primary growth factors for the GIS tools market is the surging demand for spatial data analytics. Spatial data plays a critical role in numerous sectors, including urban planning, environmental monitoring, disaster management, and natural resource exploration. The ability to visualize and analyze spatial data provides organizations with valuable insights, enabling them to make informed decisions. Advances in technology, such as the integration of artificial intelligence (AI) and machine learning (ML) with GIS, are enhancing the capabilities of these tools, further driving market growth.



    Moreover, the increasing adoption of GIS tools in the construction and agriculture sectors is fueling market expansion. In construction, GIS tools are used for site selection, route planning, and resource management, enhancing operational efficiency and reducing costs. Similarly, in agriculture, GIS tools aid in precision farming, crop monitoring, and soil analysis, leading to improved crop yields and sustainable farming practices. The ability of GIS tools to provide real-time data and analytics is particularly beneficial in these industries, contributing to their widespread adoption.



    The growing importance of location-based services (LBS) in various applications is another key driver for the GIS tools market. LBS are extensively used in navigation, logistics, and transportation, providing real-time location information and route optimization. The proliferation of smartphones and the development of advanced GPS technologies have significantly increased the demand for LBS, thereby boosting the GIS tools market. Additionally, the integration of GIS with other technologies, such as the Internet of Things (IoT) and Big Data, is creating new opportunities for market growth.



    Regionally, North America holds a significant share of the GIS tools market, driven by the high adoption of advanced technologies and the presence of major market players. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, owing to increasing investments in infrastructure development, smart city projects, and the growing use of GIS tools in emerging economies such as China and India. Europe, Latin America, and the Middle East & Africa are also expected to contribute to market growth, driven by various government initiatives and increasing awareness of the benefits of GIS tools.



    Component Analysis



    The GIS tools market can be segmented by component into software, hardware, and services. The software segment is anticipated to dominate the market due to the increasing demand for advanced GIS software solutions that offer enhanced data visualization, spatial analysis, and decision-making capabilities. GIS software encompasses a wide range of applications, including mapping, spatial data analysis, and geospatial data management, making it indispensable for various industries. The continuous development of user-friendly and feature-rich software solutions is expected to drive the growth of this segment.



    Hardware components in the GIS tools market include devices such as GPS units, remote sensing devices, and plotting and digitizing tools. The hardware segment is also expected to witness substantial growth, driven by the increasing use of advanced hardware devices that provide accurate and real-time spatial data. The advancements in GPS technology and the development of sophisticated remote sensing devices are key factors contributing to the growth of the hardware segment. Additionally, the integration of hardware with IoT and AI technologies is enhancing the capabilities of GIS tools, further propelling market expansion.



    The services segment includes consulting, integration, maintenance, and support services related to GIS tools. This segment is expected to grow significantly, driven by the increasing demand for specialized services that help organizations effectively implement and manage GIS solutions. Consulting services assist organizations in selecting the right GIS tools and optimizing their use, while integration services ensure seamless integr

  18. Geographic Information System (GIS) Market Report | Global Forecast From...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
    + more versions
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    Dataintelo (2025). Geographic Information System (GIS) Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/geographic-information-system-gis-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Geographic Information System (GIS) Market Outlook



    The Geographic Information System (GIS) market is witnessing robust growth with its global market size projected to reach USD 25.7 billion by 2032, up from USD 8.7 billion in 2023, at a compound annual growth rate (CAGR) of 12.4% during the forecast period. This growth is primarily driven by the increasing integration of GIS technology across various industries to improve spatial data visualization, enhance decision-making, and optimize operations. The benefits offered by GIS in terms of accuracy, efficiency, and cost-effectiveness are convincing more sectors to adopt these systems, thereby expanding the market size significantly.



    A major growth factor contributing to the GIS market expansion is the escalating demand for location-based services. As businesses across different sectors recognize the importance of spatial data analytics in driving strategic decisions, the reliance on GIS applications is becoming increasingly pronounced. The rise in IoT devices, coupled with the enhanced capabilities of AI and machine learning, has further fueled the demand for GIS solutions. These technologies enable the processing and analysis of large volumes of spatial data, thereby providing valuable insights that businesses can leverage for competitive advantage. In addition, government initiatives promoting the adoption of digital infrastructure and smart city projects are playing a crucial role in the growth of the GIS market.



    The advancement in satellite imaging and remote sensing technologies is another key driver of the GIS market growth. With enhanced satellite capabilities, the precision and quality of geospatial data have significantly improved, making GIS applications more reliable and effective. The availability of high-resolution satellite imagery has opened new avenues in various sectors including agriculture, urban planning, and disaster management. Moreover, the decreasing costs of satellite data acquisition and the proliferation of drone technology are making GIS more accessible to small and medium enterprises, further expanding the market potential.



    The advent of 3D Geospatial Technologies is revolutionizing the way industries utilize GIS data. By providing a three-dimensional perspective, these technologies enhance spatial analysis and visualization, offering more detailed and accurate representations of geographical areas. This advancement is particularly beneficial in urban planning, where 3D models can simulate cityscapes and infrastructure, allowing planners to visualize potential developments and assess their impact on the environment. Moreover, 3D geospatial data is proving invaluable in sectors such as construction and real estate, where it aids in site analysis and project planning. As these technologies continue to evolve, they are expected to play a pivotal role in the future of GIS, expanding its applications and driving further market growth.



    Furthermore, the increasing application of GIS in environmental monitoring and management is bolstering market growth. With growing concerns over climate change and environmental degradation, GIS is being extensively used for resource management, biodiversity conservation, and natural disaster risk management. This trend is expected to continue as more organizations and governments prioritize sustainability, thereby driving the demand for advanced GIS solutions. The integration of GIS with other technologies such as big data analytics, and cloud computing is also expected to enhance its capabilities, making it an indispensable tool for environmental management.



    Regionally, North America is currently leading the GIS market, driven by the widespread adoption of advanced technologies and the presence of major GIS vendors. The regionÂ’s focus on infrastructure development and smart city projects is further propelling the market growth. Europe is also witnessing significant growth owing to the increasing adoption of GIS in various industries such as agriculture and transportation. The Asia Pacific region is anticipated to exhibit the highest CAGR during the forecast period, attributed to rapid urbanization, government initiatives for digital transformation, and increasing investments in infrastructure development. In contrast, the markets in Latin America and the Middle East & Africa are growing steadily as these regions continue to explore and adopt GIS technologies.



    <a href="https://dataintelo.com/report/geospatial-data-fusion-market" target="_blank&quo

  19. c

    A Geographical Visualization of the GL Community: a Snapshot

    • datacatalogue.cessda.eu
    • ssh.datastations.nl
    • +1more
    Updated Apr 11, 2023
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    G. Pardelli (2023). A Geographical Visualization of the GL Community: a Snapshot [Dataset]. http://doi.org/10.17026/dans-z4c-82gj
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    Dataset updated
    Apr 11, 2023
    Dataset provided by
    Istituto di Linguistica Computazionale, ILC-CNR
    Authors
    G. Pardelli
    Description

    “Today, in the spirit of science, grey literature communities are called to demonstrate their know-how and merit to wider audiences” [D. Farace, 2011].
    This quotation stresses the important role of the several international organizations in producing and disseminating knowledge in the field of Grey Literature (GL): the paper aims to provide a first snapshot of the geographical distribution of GL organizations and their participation to the annual International Conference on Grey Literature over the time (in the period from 2003 to 2015. See List of Conferences on Table 2 ).
    Nowadays a visual representation of data is often associated with the traditional statistical graphs, in particular for representing complex phenomena by means of maps and diagrams, which allow a deeper and more focused analysis of the data. In our case the geographical representation of stakeholders in government, academics, business and industry aims at visualizing the GL community across the globe: it concerns 674 organizations which over the years have contributed to the development of a common vision on the most pressing issues of the field by using new paradigms such as Open Access and the social networks.

    Given this scenario the GL Community is visualized by name and country of the organization and by year, as documented by the GL List of Participating Organizations published in the thirteen GL Program Books which can be found on the GreyGuide site. The results are presented in the form of visual graphs, which confirm the international flavor of this field.

  20. G

    Geographic Information Systems Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Feb 20, 2025
    + more versions
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    Archive Market Research (2025). Geographic Information Systems Report [Dataset]. https://www.archivemarketresearch.com/reports/geographic-information-systems-49573
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    pdf, ppt, docAvailable download formats
    Dataset updated
    Feb 20, 2025
    Dataset authored and provided by
    Archive Market Research
    License

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

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

    Market Analysis for Geographic Information Systems (GIS) The global Geographic Information Systems (GIS) market is projected to reach a value of USD 2890.3 million by 2033, expanding at a CAGR of 5.3% during the forecast period (2025-2033). This growth is driven by increasing adoption of GIS in various industries, such as utilities, transportation, government, and defense. Additionally, the rising demand for real-time data visualization, spatial analysis, and decision-making is fueling the market expansion. The GIS market is segmented based on type (hardware, software, service) and application (public, private). Public sector applications, such as urban planning, land management, and emergency response, are expected to witness significant growth. Private sector applications, including asset management, supply chain optimization, and environmental conservation, are also gaining traction. Key players in the market include Pasco, Ubisense Group, Beijing SuperMap Software, Hexagon, and Schneider Electric. The market is highly competitive, with established players and emerging startups vying for market share. North America and Europe are the largest markets for GIS, with Asia Pacific expected to exhibit the highest growth potential in the coming years.

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Manuel Gonzalez Canche (2023). GeoStoryTelling [Dataset]. http://doi.org/10.17632/nh2c5t3vf9.1

GeoStoryTelling

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52 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Apr 21, 2023
Authors
Manuel Gonzalez Canche
License

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

Description

Database created for replication of GeoStoryTelling. Our life stories evolve in specific and contextualized places. Although our homes may be our primarily shaping environment, our homes are themselves situated in neighborhoods that expose us to the immediate “real world” outside home. Indeed, the places where we are currently experiencing, and have experienced life, play a fundamental role in gaining a deeper and more nuanced understanding of our beliefs, fears, perceptions of the world, and even our prospects of social mobility. Despite the immediate impact of the places where we experience life in reaching a better understanding of our life stories, to date most qualitative and mixed methods researchers forego the analytic and elucidating power that geo-contextualizing our narratives bring to social and health research. From this view then, most research findings and conclusions may have been ignoring the spatial contexts that most likely have shaped the experiences of research participants. The main reason for the underuse of these geo-contextualized stories is the requirement of specialized training in geographical information systems and/or computer and statistical programming along with the absence of cost-free and user-friendly geo-visualization tools that may allow non-GIS experts to benefit from geo-contextualized outputs. To address this gap, we present GeoStoryTelling, an analytic framework and user-friendly, cost-free, multi-platform software that enables researchers to visualize their geo-contextualized data narratives. The use of this software (available in Mac and Windows operative systems) does not require users to learn GIS nor computer programming to obtain state-of-the-art, and visually appealing maps. In addition to providing a toy database to fully replicate the outputs presented, we detail the process that researchers need to follow to build their own databases without the need of specialized external software nor hardware. We show how the resulting HTML outputs are capable of integrating a variety of multi-media inputs (i.e., text, image, videos, sound recordings/music, and hyperlinks to other websites) to provide further context to the geo-located stories we are sharing (example https://cutt.ly/k7X9tfN). Accordingly, the goals of this paper are to describe the components of the methodology, the steps to construct the database, and to provide unrestricted access to the software tool, along with a toy dataset so that researchers may interact first-hand with GeoStoryTelling and fully replicate the outputs discussed herein. Since GeoStoryTelling relied on OpenStreetMap its applications may be used worldwide, thus strengthening its potential reach to the mixed methods and qualitative scientific communities, regardless of location around the world. Keywords: Geographical Information Systems; Interactive Visualizations; Data StoryTelling; Mixed Methods & Qualitative Research Methodologies; Spatial Data Science; Geo-Computation.

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