29 datasets found
  1. o

    Senior Geospatial Technician - Job Description - Dataset - City of Regina...

    • openregina.ca
    Updated Jul 8, 2024
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    (2024). Senior Geospatial Technician - Job Description - Dataset - City of Regina Open Data [Dataset]. https://openregina.ca/dataset/senior-geospatial-technician-job-description
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    Dataset updated
    Jul 8, 2024
    Description

    Senior Geospatial Technician Job #: 1190 Jurisdiction: Local 7 Division: City Planning & Community Development Department: Sustainable Infrastructure

  2. 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
    Global, United States, Germany, United Kingdom, Canada, France
    Description

    Snapshot img

    Geographic Information System Analytics Market Size 2024-2028

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

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

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

    Request Free Sample

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

    How is this Geographic Information System Analytics Industry segmented?

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

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

    By End-user Insights

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

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

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

  3. 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
    Explore at:
    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

  4. f

    datasets

    • figshare.com
    bin
    Updated May 12, 2025
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    Ibtihal Khlif (2025). datasets [Dataset]. http://doi.org/10.6084/m9.figshare.28931513.v2
    Explore at:
    binAvailable download formats
    Dataset updated
    May 12, 2025
    Dataset provided by
    figshare
    Authors
    Ibtihal Khlif
    License

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

    Description

    This project explores the integration of Geographic Information Systems (GIS) and Natural Language Processing (NLP) to improve job–candidate matching in recruitment. Traditional AI-based e-recruitment systems often ignore geographic constraints. Our hybrid model addresses this gap by incorporating both textual similarity and spatial relevance in matching candidates to job postings.Data UsedCandidate Data (CVs)Source: Scraped from emploi.maSize: 1000 CVs after cleaningContent: Candidate names (anonymized), skills, experiences, locations (coordinates), availability, etc.Job DescriptionsSource: Publicly available dataset from KaggleSize: we took 1000 job postings using category :MoroccoContent: Titles, descriptions, required skills, sector labels, and office locations...All datasets have been cleaned and anonymized for privacy and research ethics compliance.

  5. a

    eBook: Lindsey the GIS Specialist

    • edu.hub.arcgis.com
    Updated Mar 26, 2019
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    Education and Research (2019). eBook: Lindsey the GIS Specialist [Dataset]. https://edu.hub.arcgis.com/documents/4915f2532b1144089914b04dc544800a
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    Dataset updated
    Mar 26, 2019
    Dataset authored and provided by
    Education and Research
    Area covered
    Description

    Bolton & Menk, an engineering planning and consulting firm from the Midwestern United States has released a series of illustrated children’s books as a way of helping young people discover several different professions that typically do not get as much attention as other more traditional ones do.Topics of the award winning book series include landscape architecture, civil engineering, water resource engineering, urban planning and now Geographic Information Systems (GIS). The books are available free online in digital format, and easily accessed via a laptop, smart phone or tablet.The book Lindsey the GIS Specialist – A GIS Mapping Story Tyler Danielson, covers some the basics of what geographic information is and the type of work that a GIS Specialist does. It explains what the acronym GIS means, the different types of geospatial data, how we collect data, and what some of the maps a GIS Specialist creates would be used for.Click here to check out the GIS Specialist – A GIS Mapping Story e-book

  6. GIS In Utility Industry Market Analysis North America, Europe, APAC, Middle...

    • technavio.com
    Updated Dec 31, 2024
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    Technavio (2024). GIS In Utility Industry Market Analysis North America, Europe, APAC, Middle East and Africa, South America - US, China, Canada, Japan, Germany, Russia, India, Brazil, France, UAE - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/gis-market-in-the-utility-industry-analysis
    Explore at:
    Dataset updated
    Dec 31, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global, United States, Canada
    Description

    Snapshot img

    GIS In Utility Industry Market Size 2025-2029

    The gis in utility industry market size is forecast to increase by USD 3.55 billion, at a CAGR of 19.8% between 2024 and 2029.

    The utility industry's growing adoption of Geographic Information Systems (GIS) is driven by the increasing need for efficient and effective infrastructure management. GIS solutions enable utility companies to visualize, analyze, and manage their assets and networks more effectively, leading to improved operational efficiency and customer service. A notable trend in this market is the expanding application of GIS for water management, as utilities seek to optimize water distribution and reduce non-revenue water losses. However, the utility GIS market faces challenges from open-source GIS software, which can offer cost-effective alternatives to proprietary solutions. These open-source options may limit the functionality and support available to users, necessitating careful consideration when choosing a GIS solution. To capitalize on market opportunities and navigate these challenges, utility companies must assess their specific needs and evaluate the trade-offs between cost, functionality, and support when selecting a GIS provider. Effective strategic planning and operational execution will be crucial for success in this dynamic market.

    What will be the Size of the GIS In Utility Industry 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 SampleThe Global Utilities Industry Market for Geographic Information Systems (GIS) continues to evolve, driven by the increasing demand for advanced data management and analysis solutions. GIS services play a crucial role in utility infrastructure management, enabling asset management, data integration, project management, demand forecasting, data modeling, data analytics, grid modernization, data security, field data capture, outage management, and spatial analysis. These applications are not static but rather continuously unfolding, with new patterns emerging in areas such as energy efficiency, smart grid technologies, renewable energy integration, network optimization, and transmission lines. Spatial statistics, data privacy, geospatial databases, and remote sensing are integral components of this evolving landscape, ensuring the effective management of utility infrastructure. Moreover, the adoption of mobile GIS, infrastructure planning, customer service, asset lifecycle management, metering systems, regulatory compliance, GIS data management, route planning, environmental impact assessment, mapping software, GIS consulting, GIS training, smart metering, workforce management, location intelligence, aerial imagery, construction management, data visualization, operations and maintenance, GIS implementation, and IoT sensors is transforming the industry. The integration of these technologies and services facilitates efficient utility infrastructure management, enhancing network performance, improving customer service, and ensuring regulatory compliance. The ongoing evolution of the utilities industry market for GIS reflects the dynamic nature of the sector, with continuous innovation and adaptation to meet the changing needs of utility providers and consumers.

    How is this GIS In Utility Industry Industry segmented?

    The gis in utility industry 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. ProductSoftwareDataServicesDeploymentOn-premisesCloudGeographyNorth AmericaUSCanadaEuropeFranceGermanyRussiaMiddle East and AfricaUAEAPACChinaIndiaJapanSouth AmericaBrazilRest of World (ROW).

    By Product Insights

    The software segment is estimated to witness significant growth during the forecast period.In the utility industry, Geographic Information Systems (GIS) play a pivotal role in optimizing operations and managing infrastructure. Utilities, including electricity, gas, water, and telecommunications providers, utilize GIS software for asset management, infrastructure planning, network performance monitoring, and informed decision-making. The GIS software segment in the utility industry encompasses various solutions, starting with fundamental GIS software that manages and analyzes geographical data. Additionally, utility companies leverage specialized software for field data collection, energy efficiency, smart grid technologies, distribution grid design, renewable energy integration, network optimization, transmission lines, spatial statistics, data privacy, geospatial databases, GIS services, project management, demand forecasting, data modeling, data analytics, grid modernization, data security, field data capture, outage ma

  7. A

    ‘5.02 New Jobs Created (summary)’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 11, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘5.02 New Jobs Created (summary)’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-5-02-new-jobs-created-summary-b203/5fd4857f/?iid=002-030&v=presentation
    Explore at:
    Dataset updated
    Feb 11, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘5.02 New Jobs Created (summary)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/73bc502b-2b3a-4ab7-83ad-4649019064d0 on 11 February 2022.

    --- Dataset description provided by original source is as follows ---

    Tempe is among Arizona's most educated cities, lending to a creative, smart atmosphere. With more than a dozen colleges, trade schools and universities, about 40 percent of our residents over the age of 25 have Bachelor's degrees or higher. Having such an educated and accessible workforce is a driving factor in attracting and growing jobs for residents in the region.

    The City of Tempe is a member of the Greater Phoenix Economic Council (GPEC) and with the membership staff tracks collaborative efforts to recruit business prospects and locates. The Greater Phoenix Economic Council (GPEC) is a performance-driven, public-private partnership. GPEC partners with the City of Tempe, Maricopa County, 22 other communities and more than 170 private-sector investors to promote the region’s competitive position and attract quality jobs that enable strategic economic growth and provide increased tax revenue for Tempe.

    This dataset provides the target and actual job creation numbers for the City of Tempe and Greater Phoenix Economic Council (GPEC). The job creation target for Tempe is calculated by multiplying GPEC's target by twice Tempe's proportion of the population.

    This page provides data for the New Jobs Created performance measure.

    The performance measure dashboard is available at 5.02 New Jobs Created.

    Additional Information

    Source:
    Contact: Jill Buschbacher
    Contact E-Mail: Jill_Buschbacher@tempe.gov
    Data Source Type: Excel files
    Preparation Method: Extracted from GPEC monthly and annual reports and proprietary excel files
    Publish Frequency: Annually
    Publish Method: manual
    Data Dictionary

    --- Original source retains full ownership of the source dataset ---

  8. Dataset for "Geospatial analysis of toponyms in geotagged social media...

    • zenodo.org
    zip
    Updated Oct 1, 2024
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    Takayuki Hiraoka; Takayuki Hiraoka; Takashi Kirimura; Takashi Kirimura; Naoya Fujiwara; Naoya Fujiwara (2024). Dataset for "Geospatial analysis of toponyms in geotagged social media posts" [Dataset]. http://doi.org/10.5281/zenodo.13860969
    Explore at:
    zipAvailable download formats
    Dataset updated
    Oct 1, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Takayuki Hiraoka; Takayuki Hiraoka; Takashi Kirimura; Takashi Kirimura; Naoya Fujiwara; Naoya Fujiwara
    License

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

    Description

    Geotagged Twitter posts dataset

    Dataset used for the research presented in the following paper: Takayuki Hiraoka, Takashi Kirimura, Naoya Fujiwara (2024) "Geospatial analysis of toponyms in geo-tagged social media posts".

    We collected georeferenced Twitter posts tagged to coordinates inside the bounding box of Japan between 2012-2018. The present dataset represents the spatial distributions of all geotagged posts as well as posts containing in the text each of 24 domestic toponyms, 12 common nouns, and 6 foreign toponyms. The code used to analyze the data is available on GitHub.

    Data description

    • selected_geotagged_tweet_data/: Number of geotagged twitter posts in each grid cell. Each csv file under this directory associates each grid cell (spanning 30 seconds of latitude and 45 secoonds of longitude, which is approximately a 1km x 1km square, specified by an 8 digit code m3code) with the number of geotagged tweets tagged to the coordinates inside that cell (tweetcount). file_names.json relates each of the toponyms studied in this work to the corresponding datafile (all denotes the full data).
    • population/population_center_2020.xlsx: Center of population of each municipality based on the 2020 census. Derived from data published by the Statistics Bureau of Japan on their website (Japanese)
    • population/census2015mesh3_totalpop_setai.csv: Resident population in each grid cell based on the 2015 census. Derived from data published by the Statistics Bureau of Japan on e-stat (Japanese)
    • population/economiccensus2016mesh3_jigyosyo_jugyosya.csv: Employed population in each grid cell based on the 2016 Economic Census. Derived from data published by the Statistics Bureau of Japan on e-stat (Japanese)
    • japan_MetropolitanEmploymentArea2015map/: Shape file for the boundaries of Metropolitan Employment Areas (MEA) in Japan. See this website for details of MEA.
    • ward_shapefiles/: Shape files for the boundaries of wards in large cities, published by the Statistics Bureau of Japan on e-stat
  9. GIS In Telecom Sector Market Analysis, Size, and Forecast 2025-2029: North...

    • technavio.com
    Updated Jun 20, 2025
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    Technavio (2025). GIS In Telecom Sector Market Analysis, Size, and Forecast 2025-2029: North America (US and Canada), Europe (France, Germany, and UK), APAC (China, India, Japan, and South Korea), South America (Brazil), and Rest of World (ROW) [Dataset]. https://www.technavio.com/report/gis-market-in-telecom-sector-industry-analysis
    Explore at:
    Dataset updated
    Jun 20, 2025
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global, Canada, United States, United Kingdom
    Description

    Snapshot img

    GIS In Telecom Sector Market Size 2025-2029

    The GIS in telecom sector market size is forecast to increase by USD 2.35 billion at a CAGR of 15.7% between 2024 and 2029.

    The market is experiencing significant growth, driven by the increasing adoption of Geographic Information Systems (GIS) for capacity planning in the telecommunications industry. GIS technology enables telecom companies to optimize network infrastructure, manage resources efficiently, and improve service delivery. Telecommunication assets and network management systems require GIS integration for efficient asset management and network slicing. However, challenges persist in this market. A communication gap between developers and end-users poses a significant obstacle.
    Companies seeking to capitalize on opportunities in the market must focus on addressing these challenges, while also staying abreast of technological advancements and market trends. Effective collaboration between developers and end-users, coupled with strategic investments, will be essential for success in this dynamic market. Telecom companies must bridge this divide to ensure the development of user-friendly and effective GIS solutions. Network densification and virtualization platforms are key trends, allowing for efficient spectrum management and data monetization. Additionally, the implementation of GIS in the telecom sector requires substantial investment in technology and infrastructure, which may deter smaller players from entering the market.
    

    What will be the Size of the GIS In Telecom Sector 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

    In the dynamic telecom sector, GIS technology plays a pivotal role in customer analysis, network planning, and infrastructure development. Customer experiences are enhanced through location-based services and real-time data analysis, enabling telecom companies to tailor offerings and improve service quality. Network simulation and capacity planning are crucial for network evolution, with machine learning and AI integration facilitating network optimization and compliance with industry standards.
    IOT connectivity and network analytics platforms offer valuable insights for smart city infrastructure development, with 3D data analysis and network outage analysis ensuring network resilience. Telecom industry partnerships foster innovation and collaboration, driving the continuous evolution of the sector. Consulting firms offer expertise in network compliance and network management, ensuring regulatory adherence and optimal network performance.
    

    How is this GIS In Telecom Sector Industry segmented?

    The gis in telecom sector 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
    
    
    Deployment
    
      On-premises
      Cloud
    
    
    Application
    
      Mapping
      Telematics and navigation
      Surveying
      Location based services
    
    
    Geography
    
      North America
    
        US
        Canada
    
    
      Europe
    
        France
        Germany
        UK
    
    
      APAC
    
        China
        India
        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. In the telecom sector, the deployment of 5G networks is driving the need for advanced Geographic Information Systems (GIS) to optimize network performance and efficiency. GIS technology enables spatial analysis, network automation, capacity analysis, and bandwidth management, all crucial elements in the rollout of 5G networks. Large enterprises and telecom consulting firms are integrating GIS data into their operations for network planning, optimization, and troubleshooting. Machine learning and artificial intelligence are transforming GIS applications, offering predictive analytics and real-time network performance monitoring. Network virtualization and software-defined networking are also gaining traction, enhancing network capacity and improving network reliability and maintenance.

    GIS software companies provide solutions for desktops, mobiles, cloud, and servers, catering to various industry needs. Smart city initiatives and location-based services are expanding the use cases for GIS in telecom, offering new opportunities for growth. Infrastructure deployment and population density analysis are critical factors in network rollout and capacity enhancement. Network security and performance monitoring are essential components of GIS applications, ensuring network resilience and customer experience management. Edge computing and network latency reduction are also signi

  10. Epidemiological geography at work. An exploratory review about the overall...

    • zenodo.org
    Updated Jul 19, 2024
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    Andrea Marco Raffaele Pranzo; Andrea Marco Raffaele Pranzo (2024). Epidemiological geography at work. An exploratory review about the overall findings of spatial analysis applied to the study of CoViD-19 propagation along the first pandemic year (DATASET) [Dataset]. http://doi.org/10.5281/zenodo.4685964
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    Dataset updated
    Jul 19, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Andrea Marco Raffaele Pranzo; Andrea Marco Raffaele Pranzo
    License

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

    Description

    Literature review dataset

    This table lists the surveyed papers concerning the application of spatial analysis, GIS (Geographic Information Systems) as well as general geographic approaches and geostatistics, to the assessment of CoViD-19 dynamics. The period of survey is from January 1st, 2020 to December 15th, 2020. The first column lists the reference. The second lists the date of publication (preferably, the date of online publication). The third column lists the Country or the Countries and/or the subnational entities investigated. The fourth column lists the epidemiological data utilized in each paper. The fifth column lists other types of data utilized for the analysis. The sixth column lists the more traditionally statistically-based methods, if utilized. The seventh column lists the geo-statistical, GIS or geographic methods, if utilized. The eight column sums up the findings of each paper. The papers are also classified within seven thematic categories. The full references are available at the end of the table in alphabetical order.

    This table was the basis for the realization of a comprehensive geographic literature review. It aims to be a useful tool to ease the "due-diligence" activity of all the researchers interested in the spatial analysis of the pandemic.

    The reference to cite the related paper is the following:

    Pranzo, A.M.R., Dai Prà, E. & Besana, A. Epidemiological geography at work: An exploratory review about the overall findings of spatial analysis applied to the study of CoViD-19 propagation along the first pandemic year. GeoJournal (2022). https://doi.org/10.1007/s10708-022-10601-y

    To read the manuscript please follow this link: https://doi.org/10.1007/s10708-022-10601-y

  11. Getting to Know Web GIS, fourth edition

    • dados-edu-pt.hub.arcgis.com
    Updated Aug 13, 2020
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    Esri Portugal - Educação (2020). Getting to Know Web GIS, fourth edition [Dataset]. https://dados-edu-pt.hub.arcgis.com/datasets/getting-to-know-web-gis-fourth-edition
    Explore at:
    Dataset updated
    Aug 13, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri Portugal - Educação
    License

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

    Description

    Learn state-of-the-art skills to build compelling, useful, and fun Web GIS apps easily, with no programming experience required.Building on the foundation of the previous three editions, Getting to Know Web GIS, fourth edition,features the latest advances in Esri’s entire Web GIS platform, from the cloud server side to the client side.Discover and apply what’s new in ArcGIS Online, ArcGIS Enterprise, Map Viewer, Esri StoryMaps, Web AppBuilder, ArcGIS Survey123, and more.Learn about recent Web GIS products such as ArcGIS Experience Builder, ArcGIS Indoors, and ArcGIS QuickCapture. Understand updates in mobile GIS such as ArcGIS Collector and AuGeo, and then build your own web apps.Further your knowledge and skills with detailed sections and chapters on ArcGIS Dashboards, ArcGIS Analytics for the Internet of Things, online spatial analysis, image services, 3D web scenes, ArcGIS API for JavaScript, and best practices in Web GIS.Each chapter is written for immediate productivity with a good balance of principles and hands-on exercises and includes:A conceptual discussion section to give you the big picture and principles,A detailed tutorial section with step-by-step instructions,A Q/A section to answer common questions,An assignment section to reinforce your comprehension, andA list of resources with more information.Ideal for classroom lab work and on-the-job training for GIS students, instructors, GIS analysts, managers, web developers, and other professionals, Getting to Know Web GIS, fourth edition, uses a holistic approach to systematically teach the breadth of the Esri Geospatial Cloud.AUDIENCEProfessional and scholarly. College/higher education. General/trade.AUTHOR BIOPinde Fu leads the ArcGIS Platform Engineering team at Esri Professional Services and teaches at universities including Harvard University Extension School. His specialties include web and mobile GIS technologies and applications in various industries. Several of his projects have won specialachievement awards. Fu is the lead author of Web GIS: Principles and Applications (Esri Press, 2010).Pub Date: Print: 7/21/2020 Digital: 6/16/2020 Format: Trade paperISBN: Print: 9781589485921 Digital: 9781589485938 Trim: 7.5 x 9 in.Price: Print: $94.99 USD Digital: $94.99 USD Pages: 490TABLE OF CONTENTSPrefaceForeword1 Get started with Web GIS2 Hosted feature layers and storytelling with GIS3 Web AppBuilder for ArcGIS and ArcGIS Experience Builder4 Mobile GIS5 Tile layers and on-premises Web GIS6 Spatial temporal data and real-time GIS7 3D web scenes8 Spatial analysis and geoprocessing9 Image service and online raster analysis10 Web GIS programming with ArcGIS API for JavaScriptPinde Fu | Interview with Esri Press | 2020-07-10 | 15:56 | Link.

  12. A

    ‘1.11 Feeling Safe in Work (summary)’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 11, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘1.11 Feeling Safe in Work (summary)’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-1-11-feeling-safe-in-work-summary-efd5/latest
    Explore at:
    Dataset updated
    Feb 11, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘1.11 Feeling Safe in Work (summary)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/b64ed601-7b96-495a-a42e-1dc8705fe304 on 11 February 2022.

    --- Dataset description provided by original source is as follows ---

    This dataset comes from the biennial City of Tempe Employee Survey question about feeling safe in the physical work environment (building). The Employee Survey question relating to this performance measure: “Please rate your level of agreement: My physical work environment (building) is safe, clean & maintained in good operating order.” Survey respondents are asked to rate their agreement level on a scale of 5 to 1, where 5 means “Strongly Agree” and 1 means “Strongly Disagree” (without “don’t know” responses included).


    The survey was voluntary and employees were allowed to complete the survey during work hours or at home. The survey allowed employees to respond anonymously and has a 95% confidence level.


    This page provides data about the Feeling Safe in City Facilities performance measure.


    The performance measure dashboard is available at 1.11 Feeling Safe in City Facilities


    Additional Information


    Source: Employee Survey

    Contact: Wydale Holmes

    Contact E-Mail: Wydale_Holmes@tempe.gov

    Data Source Type: CSV

    Preparation Method: Data received from vendor and entered in CSV

    Publish Frequency: Biennial

    Publish Method: Manual

    Data Dictionary

    --- Original source retains full ownership of the source dataset ---

  13. Socio-Environmental Science Investigations Using the Geospatial Curriculum...

    • icpsr.umich.edu
    Updated Oct 17, 2022
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    Bodzin, Alec M.; Anastasio, David J.; Hammond, Thomas C.; Popejoy, Kate; Holland, Breena (2022). Socio-Environmental Science Investigations Using the Geospatial Curriculum Approach with Web Geospatial Information Systems, Pennsylvania, 2016-2020 [Dataset]. http://doi.org/10.3886/ICPSR38181.v1
    Explore at:
    Dataset updated
    Oct 17, 2022
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Bodzin, Alec M.; Anastasio, David J.; Hammond, Thomas C.; Popejoy, Kate; Holland, Breena
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/38181/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/38181/terms

    Time period covered
    Sep 1, 2016 - Aug 31, 2020
    Area covered
    Pennsylvania
    Description

    This Innovative Technology Experiences for Students and Teachers (ITEST) project has developed, implemented, and evaluated a series of innovative Socio-Environmental Science Investigations (SESI) using a geospatial curriculum approach. It is targeted for economically disadvantaged 9th grade high school students in Allentown, PA, and involves hands-on geospatial technology to help develop STEM-related skills. SESI focuses on societal issues related to environmental science. These issues are multi-disciplinary, involve decision-making that is based on the analysis of merged scientific and sociological data, and have direct implications for the social agency and equity milieu faced by these and other school students. This project employed a design partnership between Lehigh University natural science, social science, and education professors, high school science and social studies teachers, and STEM professionals in the local community to develop geospatial investigations with Web-based Geographic Information Systems (GIS). These were designed to provide students with geospatial skills, career awareness, and motivation to pursue appropriate education pathways for STEM-related occupations, in addition to building a more geographically and scientifically literate citizenry. The learning activities provide opportunities for students to collaborate, seek evidence, problem-solve, master technology, develop geospatial thinking and reasoning skills, and practice communication skills that are essential for the STEM workplace and beyond. Despite the accelerating growth in geospatial industries and congruence across STEM, few school-based programs integrate geospatial technology within their curricula, and even fewer are designed to promote interest and aspiration in the STEM-related occupations that will maintain American prominence in science and technology. The SESI project is based on a transformative curriculum approach for geospatial learning using Web GIS to develop STEM-related skills and promote STEM-related career interest in students who are traditionally underrepresented in STEM-related fields. This project attends to a significant challenge in STEM education: the recognized deficiency in quality locally-based and relevant high school curriculum for under-represented students that focuses on local social issues related to the environment. Environmental issues have great societal relevance, and because many environmental problems have a disproportionate impact on underrepresented and disadvantaged groups, they provide a compelling subject of study for students from these groups in developing STEM-related skills. Once piloted in the relatively challenging environment of an urban school with many unengaged learners, the results will be readily transferable to any school district to enhance geospatial reasoning skills nationally.

  14. ArcGIS Hub Fundamentals

    • coronavirus-resources.esri.com
    Updated Apr 3, 2020
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    Esri’s Disaster Response Program (2020). ArcGIS Hub Fundamentals [Dataset]. https://coronavirus-resources.esri.com/documents/443d382065a24cf2a02a070736d34d3d
    Explore at:
    Dataset updated
    Apr 3, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri’s Disaster Response Program
    Description

    Become an ArcGIS Hub Specialist.ArcGIS Hub is a cloud-based engagement platform that helps organizations work more effectively with their communities. Learn how to use ArcGIS Hub capabilities and related technology to coordinate and engage with external agencies, community partners, volunteers, and citizens to tackle the projects that matter most in your community._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

  15. 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

  16. A

    ‘2.13 Employee Engagement (overall)’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 11, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘2.13 Employee Engagement (overall)’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/data-gov-2-13-employee-engagement-overall-e156/cbd76901/?iid=004-794&v=presentation
    Explore at:
    Dataset updated
    Feb 11, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

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

    Description

    Analysis of ‘2.13 Employee Engagement (overall)’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/a4b2a01e-d0cd-4dd6-819c-4aea4c518e48 on 11 February 2022.

    --- Dataset description provided by original source is as follows ---

    This dataset comes from the Biennial City of Tempe Employee Survey questions related to employee engagement. Survey respondents are asked to rate their level of agreement on a scale of 5 to 1, where 5 means "Strongly Agree" and 1 means "Strongly Disagree".


    This dataset includes responses to the following statements:

    • Overall, I am satisfied with the level of employee engagement in my Department I have been mentored at work.
    • Overall, how satisfied are you with your current job?

    Participation in the survey is voluntary and confidential.


    This page provides data for the Employee Engagement performance measure.


    The performance measure dashboard is available at 2.13 Employee Engagement.


    Additional Information

    Source: paper and digital survey submissions

    Contact: Aaron Peterson

    Contact E-Mail: Aaron_Peterson@tempe.gov

    Data Source Type: Excel

    Preparation Method: NA

    Publish Frequency: biennial

    Publish Method: Manual

    Data Dictionary

    --- Original source retains full ownership of the source dataset ---

  17. v

    ASEAN Geospatial Analytics Market Size By Component (Software, Hardware,...

    • verifiedmarketresearch.com
    Updated Apr 16, 2025
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    VERIFIED MARKET RESEARCH (2025). ASEAN Geospatial Analytics Market Size By Component (Software, Hardware, Services), By Deployment Mode (On-Premises, Cloud-Based), By Technology (Remote Sensing, Geographic Information System (GIS), Global Positioning System (GPS)), By Application (Disaster Management, Urban Planning and Smart Cities, Defense and Security, Transportation and Logistics), By Geography Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/asean-geospatial-analytics-market/
    Explore at:
    Dataset updated
    Apr 16, 2025
    Dataset authored and provided by
    VERIFIED MARKET RESEARCH
    License

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

    Area covered
    ASEAN
    Description

    ASEAN Geospatial Analytics Market size was valued at USD 0.67 Billion in 2024 and is projected to reach USD 1.69 Billion by 2032, growing at a CAGR of 12.00% from 2026 to 2032.

    ASEAN Geospatial Analytics Market Drivers

    Increasing Adoption of Location-Based Services (LBS): Industries like transportation, retail, and healthcare are increasingly utilizing LBS, driving the demand for real-time location intelligence and geospatial analytics. Rising Investments in Smart Cities and Urban Planning: Governments across ASEAN are investing in smart city initiatives to optimize infrastructure, resource management, and promote sustainable urban development, creating a strong need for geospatial tools. Growth in Innovative Solutions by Market Vendors: Major players are continuously developing and launching innovative geospatial analytics solutions, expanding the market's capabilities and applications. Increasing 5G Rollout and Integration of Advanced Technologies: The deployment of 5G networks and the integration of AI, ML, VR, AR, and IoT into geospatial analytics solutions are enhancing their power and applicability across various sectors. Evolving Role of National Geospatial Organizations: National geospatial organizations within ASEAN are playing a greater role in driving market growth by promoting the use and development of geospatial technologies.

  18. GIS Software Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 3, 2024
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    Dataintelo (2024). GIS Software Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-gis-software-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Dec 3, 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

    GIS Software Market Outlook



    The global Geographic Information System (GIS) software market size is projected to witness substantial growth over the forecast period, with a notable CAGR of 11.2% from 2024 to 2032. In 2023, the market size was valued at approximately USD 9.1 billion and is expected to reach around USD 23.5 billion by 2032. This growth trajectory is primarily driven by the increasing integration of GIS across various industries, advancements in spatial data analysis technologies, and heightened demand for location-based services. The rising need for urban planning and smart city projects also significantly contributes to the market's expansion, alongside growing investments in infrastructure development across the globe.



    Several key factors underpin the robust growth of the GIS software market. Firstly, the surge in demand for spatial data analytics is transforming decision-making processes across sectors such as agriculture, construction, and transportation. GIS software enables organizations to visualize, analyze, and interpret data to understand spatial relationships, patterns, and trends. This capability is crucial for efficient resource management, strategic planning, and effective deployment of assets. Furthermore, the integration of GIS with artificial intelligence and machine learning technologies enhances predictive analytics, enabling more precise forecasting and decision-making, which drives further adoption in both private and public sectors.



    Secondly, the expansion of smart city initiatives worldwide is propelling the demand for GIS software. As urban areas continue to grow, there is an increasing need for sophisticated tools that can aid in planning and managing complex infrastructural developments. GIS software plays a pivotal role in urban planning by providing detailed visualization and analysis of spatial data, thereby aiding in effective decision-making concerning transportation, utilities, land use, and environmental management. This is further bolstered by government initiatives aimed at improving urban infrastructure and sustainability, thus contributing significantly to market growth.



    Additionally, the growing adoption of location-based services across various industries is another major driver for the GIS software market. These services leverage GIS technology to provide real-time data and analytics, which are essential for navigation, asset tracking, and location-based marketing. The transportation and logistics sectors, in particular, are extensively utilizing GIS for route optimization, fleet management, and logistics planning. Moreover, the proliferation of smartphones and mobile applications has accelerated the demand for these services, further spurring the growth of the GIS software market.



    The regional outlook for the GIS software market highlights a varied growth trajectory across different geographies. North America currently holds a significant market share due to the presence of major GIS software vendors and early adoption of advanced technologies. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. The rapid urbanization, infrastructure development, and increasing investments in smart city projects in countries like China and India are key factors driving the market in this region. Europe also shows promising growth prospects, particularly with the European Union's emphasis on sustainable development and environmental management, which necessitates the use of GIS technology.



    Component Analysis



    The GIS software market segmentation by component includes both software and services. The software segment is anticipated to hold the largest market share, driven by the increasing adoption of advanced software solutions that offer comprehensive tools for data analysis, mapping, and visualization. Software platforms that integrate GIS with cloud computing, IoT, and AI are seeing heightened demand as they provide more robust, scalable, and efficient solutions for complex spatial data analysis. Companies are continuously innovating to enhance the functionalities of GIS software, which is further propelling the growth of this segment.



    Within the software segment, desktop GIS applications continue to dominate due to their widespread use in detailed data analysis and map creation. However, WebGIS and mobile GIS applications are rapidly gaining traction owing to their accessibility and convenience, allowing users to analyze spatial data from anywhere and at any time. This shift is largely attributed to the growing need for real-time data access and the integration

  19. d

    Geodemographic Data | Asia/ MENA | Latest Estimates on Population, Consuming...

    • datarade.ai
    .json, .csv
    Updated Nov 23, 2024
    + more versions
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    GapMaps (2024). Geodemographic Data | Asia/ MENA | Latest Estimates on Population, Consuming Class, Demographics, Retail Spend | GIS Data | Map Data [Dataset]. https://datarade.ai/data-products/gapmaps-premium-geodemographic-data-asia-mena-150m-x-150-gapmaps
    Explore at:
    .json, .csvAvailable download formats
    Dataset updated
    Nov 23, 2024
    Dataset authored and provided by
    GapMaps
    Area covered
    Asia, Indonesia, Philippines, Malaysia, Singapore, India, Saudi Arabia
    Description

    Sourcing accurate and up-to-date geodemographic data across Asia and MENA has historically been difficult for retail brands looking to expand their store networks in these regions. Either the data does not exist or it isn't readily accessible or updated regularly.

    GapMaps uses known population data combined with billions of mobile device location points to provide highly accurate and globally consistent geodemographic datasets across Asia and MENA at 150m x 150m grid levels in major cities and 1km grids outside of major cities.

    With this information, brands can get a detailed understanding of who lives in a catchment, where they work and their spending potential which allows you to:

    • Better understand your customers
    • Identify optimal locations to expand your retail footprint
    • Define sales territories for franchisees
    • Run targeted marketing campaigns.

    Premium geodemographics data for Asia and MENA includes the latest estimates (updated annually) on:

    1. Population (how many people live in your local catchment)
    2. Demographics (who lives within your local catchment)
    3. Worker population (how many people work within your local catchment)
    4. Consuming Class and Premium Consuming Class (who can can afford to buy goods & services beyond their basic needs and /or shop at premium retailers)
    5. Retail Spending (Food & Beverage, Grocery, Apparel, Other). How much are consumers spending on retail goods and services by category.

    Primary Use Cases for GapMaps Geodemographic Data:

    1. Retail (eg. Fast Food/ QSR, Cafe, Fitness, Supermarket/Grocery)
    2. Customer Profiling: get a detailed understanding of the demographic profile of your customers, where they work and their spending potential
    3. Analyse your trade areas at a granular 150m x 150m grid levels using all the key metrics
    4. Site Selection: Identify optimal locations for future expansion and benchmark performance across existing locations.
    5. Target Marketing: Develop effective marketing strategies to acquire more customers.
    6. Integrate GapMaps demographic data with your existing GIS or BI platform to generate powerful visualizations.

    7. Commercial Real-Estate (Brokers, Developers, Investors, Single & Multi-tenant O/O)

    8. Tenant Recruitment

    9. Target Marketing

    10. Market Potential / Gap Analysis

    11. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)

    12. Customer Profiling

    13. Target Marketing

    14. Market Share Analysis

  20. Geospatial Analytics System Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Geospatial Analytics System Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-geospatial-analytics-system-market
    Explore at:
    csv, pdf, pptxAvailable 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 System Market Outlook



    The global geospatial analytics system market size was valued at approximately USD 67 billion in 2023 and is projected to reach around USD 158 billion by 2032, growing at a compound annual growth rate (CAGR) of 10.1% during the forecast period. The growth of this market is being driven by significant advancements in geospatial technologies coupled with an increasing demand for spatial data across various industries.



    One of the primary growth factors for the geospatial analytics system market is the rapid adoption of Internet of Things (IoT) devices, which generate vast amounts of location-based data. This data is crucial for analytics systems that rely on geospatial information to provide insights. The proliferation of smartphones and connected devices has further accelerated the demand for geospatial analytics, as these devices generate continuous streams of geolocation data that can be analyzed for various applications such as urban planning, transportation, and disaster management.



    Another key driver for the market is the increasing government initiatives aimed at improving national infrastructure and public safety. Governments worldwide are investing heavily in geospatial analytics to enhance urban planning, monitor environmental changes, and manage natural disasters effectively. The integration of geospatial analytics with other emerging technologies such as Artificial Intelligence (AI) and Machine Learning (ML) is also contributing to market growth by enabling more accurate predictions and real-time decision-making capabilities.



    The growing awareness about climate change and its adverse effects is also playing a crucial role in the expansion of the geospatial analytics market. As climate change continues to pose significant risks, there is an increasing need for advanced systems that can monitor environmental changes and help in climate change adaptation strategies. Geospatial analytics systems provide crucial insights that aid in understanding and mitigating the impacts of climate change, thus driving their adoption across sectors like agriculture, forestry, and coastal management.



    Regionally, North America holds a significant share of the geospatial analytics system market due to the high adoption rate of advanced technologies and substantial investments in infrastructure development. The presence of major market players and extensive research and development activities also contribute to the region's market dominance. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by rapid urbanization, increased government spending on smart city projects, and rising awareness about the benefits of geospatial analytics.



    The role of Geographic Information System (GIS) Tools in the geospatial analytics market cannot be overstated. These tools are essential for capturing, storing, analyzing, and managing spatial and geographic data. They enable organizations to visualize complex data sets in a manner that is both accessible and actionable. By integrating GIS tools into their operations, businesses and governments can enhance decision-making processes, optimize resource allocation, and improve overall efficiency. The increasing sophistication of GIS tools, coupled with their ability to integrate with other technologies such as AI and IoT, is driving their adoption across various sectors. This integration facilitates the development of comprehensive solutions that address specific industry needs, from urban planning to environmental monitoring.



    Component Analysis



    The geospatial analytics system market can be segmented by component into software, hardware, and services. The software segment holds the largest market share, driven by the increasing need for advanced analytical tools and platforms that can process and visualize geospatial data effectively. The software solutions include Geographic Information Systems (GIS), remote sensing software, and spatial analytics tools that enable users to analyze and interpret spatial data for various applications.



    The hardware segment, which includes GPS devices, sensors, and other geospatial data collection tools, is also experiencing significant growth. The demand for advanced hardware components is increasing as more sophisticated and accurate data collection methods are required for various applications such as disaster management, urban plann

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(2024). Senior Geospatial Technician - Job Description - Dataset - City of Regina Open Data [Dataset]. https://openregina.ca/dataset/senior-geospatial-technician-job-description

Senior Geospatial Technician - Job Description - Dataset - City of Regina Open Data

Explore at:
Dataset updated
Jul 8, 2024
Description

Senior Geospatial Technician Job #: 1190 Jurisdiction: Local 7 Division: City Planning & Community Development Department: Sustainable Infrastructure

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