100+ datasets found
  1. Data from: Visual programming-based Geospatial Cyberinfrastructure for...

    • tandf.figshare.com
    docx
    Updated Mar 4, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Lingbo Liu; Weihe Wendy Guan; Fahui Wang; Shuming Bao (2025). Visual programming-based Geospatial Cyberinfrastructure for open-source GIS education 3.0 [Dataset]. http://doi.org/10.6084/m9.figshare.28472871.v1
    Explore at:
    docxAvailable download formats
    Dataset updated
    Mar 4, 2025
    Dataset provided by
    Taylor & Francishttps://taylorandfrancis.com/
    Authors
    Lingbo Liu; Weihe Wendy Guan; Fahui Wang; Shuming Bao
    License

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

    Description

    Open-Source GIS plays a pivotal role in advancing GIS education, fostering research collaboration, and supporting global sustainability by enabling the sharing of data, models, and knowledge. However, the integration of big data, deep learning methods, and artificial intelligence deep learning in geospatial research presents significant challenges for GIS education. These include increasing software learning costs, higher computational power demand, and the management of fragmented information in the Web 2.0 context. Addressing these challenges while integrating emerging GIS innovations and restructuring GIS knowledge systems is crucial for the evolution of GIS Education 3.0. This study introduces a Visual Programming-based Geospatial Cyberinfrastructure (V-GCI) framework, integrated with the replicable and reproducible (R&R) framework, to enhance GIS function compatibility, learning scalability, and web GIS application interoperability. Through a case study on spatial accessibility using the generalized two-step floating catchment area method (G2SFCA), this paper demonstrates how V-GCI can reshape the GIS knowledge tree and its potential to enhance replicability and reproducibility within open-source GIS Education 3.0.

  2. a

    Minnesota K12 GIS Education Hub

    • showcase-mngislis.hub.arcgis.com
    Updated Oct 25, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    MN GIS/LIS Consortium (2023). Minnesota K12 GIS Education Hub [Dataset]. https://showcase-mngislis.hub.arcgis.com/datasets/minnesota-k12-gis-education-hub
    Explore at:
    Dataset updated
    Oct 25, 2023
    Dataset authored and provided by
    MN GIS/LIS Consortium
    Area covered
    Minnesota
    Description

    About this itemThe Minnesota K12 GIS Education Hub is a resource site for educators in Minnesota looking to incorporate geospatial tools in their teaching.Author/ContributorShana CrossonOrganizationUniversity of MinnesotaOrg Websitewww.umn.edu

  3. What's new in ArcGIS for Higher Education

    • lecturewithgis.co.uk
    • teach-with-gis-uk-esriukeducation.hub.arcgis.com
    Updated Sep 28, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri UK Education (2022). What's new in ArcGIS for Higher Education [Dataset]. https://lecturewithgis.co.uk/datasets/whats-new-in-arcgis-for-higher-education
    Explore at:
    Dataset updated
    Sep 28, 2022
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri UK Education
    Description

    This is the new quarterly ArcGIS newsletter for Higher Education. It will contain all the important information for teaching and facilitating the use of ArcGIS across your university. We aim to publish newsletters in October, January, April and July. Lets get into it.

  4. e

    GIS for agriculture education programs

    • gisinschools.eagle.co.nz
    Updated May 11, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    GIS in Schools - Teaching Materials - New Zealand (2020). GIS for agriculture education programs [Dataset]. https://gisinschools.eagle.co.nz/documents/01a255bf473848f3852655bbf30be442
    Explore at:
    Dataset updated
    May 11, 2020
    Dataset authored and provided by
    GIS in Schools - Teaching Materials - New Zealand
    Description

    Explore the content in this pathway to see the role of GIS in agriculture education. Understand the opportunities that GIS opens for students in the career cluster for agriculture, food, and natural resources.

  5. Primary Education - Dataset - data.gov.ie

    • data.gov.ie
    Updated Oct 19, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    data.gov.ie (2018). Primary Education - Dataset - data.gov.ie [Dataset]. https://data.gov.ie/dataset/primary-education1
    Explore at:
    Dataset updated
    Oct 19, 2018
    Dataset provided by
    data.gov.ie
    Description

    Community GIS - Education & EnterpriseUploaded as hosted feature layer on 19.10.2018 for use in My Doorstep for creating larger icons at larger scales. This is to optimise touch screen user experience. .hidden { display: none }

  6. Fieldwork area exploration tutorials (for undergraduate field course)

    • figshare.com
    pdf
    Updated Aug 19, 2016
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Wouter Marra (2016). Fieldwork area exploration tutorials (for undergraduate field course) [Dataset]. http://doi.org/10.6084/m9.figshare.3472940.v2
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Aug 19, 2016
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Wouter Marra
    License

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

    Description

    Instructions for students to use aerial photos, Google Earth and QGIS to explore their fieldwork area prior to their field trip. This material was designed for first-year undergraduate Earth Sciences students, in preparation to a fieldwork in the French Alps. The fieldwork and this guide focuses on understanding the geology and geomorphology.The accompanying dataset.zip contains required gis-data, which are a DEM (SRTM) and Satellite images (Landsat). This dataset is without a topographic map (SCAN25 from IGN) due to licence constraint. For academic use, request your own licence from IGN (ign.fr) directly.

  7. a

    Educational Properties

    • gis-cityofchampaign.opendata.arcgis.com
    • data.ccrpc.org
    Updated Mar 13, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Champaign (2018). Educational Properties [Dataset]. https://gis-cityofchampaign.opendata.arcgis.com/maps/cityofchampaign::educational-properties
    Explore at:
    Dataset updated
    Mar 13, 2018
    Dataset authored and provided by
    City of Champaign
    Area covered
    Description

    Properties with elementary and secondary education facilities in the City of Champaign. Higher education facilities such as the University of Illinois and Parkland College are not included.

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

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

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

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

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

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

  9. BOGS Training Metrics

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Sep 11, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bureau of Indian Affairs (2025). BOGS Training Metrics [Dataset]. https://catalog.data.gov/dataset/bogs-training-metrics
    Explore at:
    Dataset updated
    Sep 11, 2025
    Dataset provided by
    Bureau of Indian Affairshttp://www.bia.gov/
    Description

    Through the Department of the Interior-Bureau of Indian Affairs Enterprise License Agreement (DOI-BIA ELA) program, BIA employees and employees of federally-recognized Tribes may access a variety of geographic information systems (GIS) online courses and instructor-led training events throughout the year at no cost to them. These online GIS courses and instructor-led training events are hosted by the Branch of Geospatial Support (BOGS) or offered by BOGS in partnership with other organizations and federal agencies. Online courses are self-paced and available year-round, while instructor-led training events have limited capacity and require registration and attendance on specific dates. This dataset does not any training where the course was not completed by the participant or where training was cancelled or otherwise not able to be completed. Point locations depict BIA Office locations or Tribal Office Headquarters. For completed trainings where a participant location was not provided a point locations may not be available. For more information on the Branch of Geospatial Support Geospatial training program, please visit:https://www.bia.gov/service/geospatial-training.

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

    • solomonislands-data.sprep.org
    • pacific-data.sprep.org
    pdf, zip
    Updated Feb 15, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bradley Eichelberger, SPREP PIPAP GIS Consultant (2022). Open Source GIS Training for Improved Protected Area Planning and Management in the Solomon Islands [Dataset]. https://solomonislands-data.sprep.org/dataset/open-source-gis-training-improved-protected-area-planning-and-management-solomon-islands
    Explore at:
    zip(702782472), pdf(3669473), pdf(969719), pdf(5434848)Available download formats
    Dataset updated
    Feb 15, 2022
    Dataset provided by
    Pacific Regional Environment Programmehttps://www.sprep.org/
    Authors
    Bradley Eichelberger, SPREP PIPAP GIS Consultant
    License

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

    Area covered
    Solomon Islands, 155.35629272461 -4.0464671937446, POLYGON ((155.35629272461 -12.561265715616, 168.10043334961 -4.0464671937446, 168.10043334961 -12.561265715616))
    Description

    Dataset contains training material on using open source Geographic Information Systems (GIS) to improve protected area planning and management from a workshop that was conducted on October 19-23, 2020. Specifically, the dataset contains lectures on GIS fundamentals, QGIS 3.x, and global positioning system (GPS), as well as country-specific datasets and a workbook containing exercises for viewing data, editing/creating datasets, and creating map products in QGIS. Supplemental videos that narrate a step-by-step recap and overview of these processes are found in the Related Content section of this dataset.

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

  11. C

    Education

    • data.colorado.gov
    • hub.arcgis.com
    csv, xlsx, xml
    Updated Apr 11, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Education [Dataset]. https://data.colorado.gov/dataset/Education/fmka-y97j
    Explore at:
    csv, xlsx, xmlAvailable download formats
    Dataset updated
    Apr 11, 2025
    Description

    Education page for universities

  12. ArcGIS for Schools

    • lecturewithgis.co.uk
    • teachwithgis.co.uk
    • +1more
    Updated Jan 17, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri UK Education (2023). ArcGIS for Schools [Dataset]. https://lecturewithgis.co.uk/datasets/arcgis-for-schools
    Explore at:
    Dataset updated
    Jan 17, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri UK Education
    Description

    Esri UK is providing a digital mapping platform and expertise in biodiversity mapping for the National Education Nature Park. We are providing the Department of Education with ArcGIS Online - an extensible web-based mapping platform to provide staff and students with geospatial tools that will allow them to view, capture, store, analyse and monitor environmental and biodiversity data. We are also providing Professional Services to be delivered using an agile methodology, along with training to key stakeholders.To deploy geospatial tools to all schools, we are using the existing ArcGIS for Schools program.

  13. Colleges and Universities

    • geodata.colorado.gov
    • sdgs.amerigeoss.org
    • +9more
    Updated Aug 27, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri U.S. Federal Datasets (2020). Colleges and Universities [Dataset]. https://geodata.colorado.gov/datasets/d257743c055e4206bd8a0f2d14af69fe
    Explore at:
    Dataset updated
    Aug 27, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri U.S. Federal Datasets
    Area covered
    Description

    Colleges and Universities This feature layer, utilizing data from the National Center for Education Statistics (NCES), displays colleges and universities in the U.S. and its territories. NCES uses the Integrated Postsecondary Education Data System (IPEDS) as the "primary source for information on U.S. colleges, universities, and technical and vocational institutions." According to NCES, this layer "contains directory information for every institution in the 2023-24 IPEDS universe. Includes name, address, city, state, zip code and various URL links to the institution"s home page, admissions, financial aid offices and the net price calculator. Identifies institutions as currently active, and institutions that participate in Title IV federal financial aid programs for which IPEDS is mandatory." University of the District of ColumbiaData currency: 2023Data source: IPEDS Complete Data FilesData modification: Removed fields with coded values and replaced with descriptionsFor more information: Integrated Postsecondary Education Data SystemSupport documentation: Data DictionaryFor feedback, please contact: ArcGIScomNationalMaps@esri.com U.S. Department of Education (ED) Per ED, The mission of the Department of Education (ED) is to promote student achievement and preparation for global competitiveness by fostering educational excellence and ensuring equal access for students of all ages.

  14. Getting Started with GIS for Educators

    • library.ncge.org
    Updated Jun 9, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NCGE (2020). Getting Started with GIS for Educators [Dataset]. https://library.ncge.org/documents/53688cfc772e4e15bb2fcb14cf641670
    Explore at:
    Dataset updated
    Jun 9, 2020
    Dataset provided by
    National Council for Geographic Educationhttp://www.ncge.org/
    Authors
    NCGE
    Description

    Geographic Information Systems (GIS) technology allows users to make maps and analyze data. Savvy educators have been using GIS since the early 1990s, but online GIS makes it easy for educators to get started quickly, even just learning on their own, online. Here is a sequenced set of resources and activities with which to begin; they start fast and easy, scaffold ideas and skills, and generally take more time and require more background as one progresses, so items should be experienced in order.

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

    • icpsr.umich.edu
    Updated Oct 17, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    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.

  16. d

    Allegheny County Public Schools / Local Education Agency (LEAs) Locations

    • catalog.data.gov
    • s.cnmilf.com
    • +2more
    Updated May 14, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Allegheny County (2023). Allegheny County Public Schools / Local Education Agency (LEAs) Locations [Dataset]. https://catalog.data.gov/dataset/allegheny-county-public-schools-local-education-agency-leas-locations
    Explore at:
    Dataset updated
    May 14, 2023
    Dataset provided by
    Allegheny County
    Area covered
    Allegany County Public Schools
    Description

    These geocoded locations are based on the Allegheny County extract of Educational Names & Addresses (EdNA) via Pennsylvania Department of Education website as of April 19, 2018. Several addresses were not able to be geocoded (ex. If PO Box addresses were provided, they were not geocoded.)If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (http://www.wprdc.org), this dataset is harvested on a weekly basis from Allegheny County’s GIS data portal (http://openac.alcogis.opendata.arcgis.com/). The full metadata record for this dataset can also be found on Allegheny County’s GIS portal. You can access the metadata record and other resources on the GIS portal by clicking on the “Explore” button (and choosing the “Go to resource” option) to the right of the “ArcGIS Open Dataset” text below. Category: Education Organization: Allegheny County Department: Department of Human Services Temporal Coverage: as of April 19, 2018 Data Notes: Coordinate System: GCS_North_American_1983 Development Notes: none Other: none Related Document(s): Data Dictionary - none Frequency - Data Change: April, 19, 2018 data Frequency - Publishing: one-time Data Steward Name: See http://www.edna.ed.state.pa.us/Screens/Extracts/wfExtractEntitiesAdmin.aspx for more information. Data Steward Email: RA-DDQDataCollection@pa.gov (Data Collection Team)

  17. Virtualization of ArcGIS to support Higher Education

    • coronavirus-resources.esri.com
    Updated May 4, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Esri’s Disaster Response Program (2020). Virtualization of ArcGIS to support Higher Education [Dataset]. https://coronavirus-resources.esri.com/documents/ae89d55cc51446089f9143c91e320309
    Explore at:
    Dataset updated
    May 4, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri’s Disaster Response Program
    Description

    The coronavirus (COVID-19) is causing many universities and colleges to virtualize their classes. Schools that have not considered or postponed a decision to virtualize their GIS classes using ArcGIS Pro and ArcMap are revaluating their options. Those that have experimented with virtualizing ArcGIS Pro are seriously considering how to expand their virtualized offering._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...

  18. a

    Education Facilities View

    • data-moco.opendata.arcgis.com
    • hub.arcgis.com
    Updated Nov 21, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Montgomery County, Texas IT-GIS (2023). Education Facilities View [Dataset]. https://data-moco.opendata.arcgis.com/datasets/1962c9ce3cb94522843c97b86d2f7bc7
    Explore at:
    Dataset updated
    Nov 21, 2023
    Dataset authored and provided by
    Montgomery County, Texas IT-GIS
    Area covered
    Description

    This dataset displays points for education facilities within Montgomery County Texas. This dataset is maintained by Montgomery County GIS. Education facility examples include:PrimaryPost SecondaryDaycareSecondaryMultiIntermediateAdministrativeAthletic Facility

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

    • rmi-data.sprep.org
    • pacific-data.sprep.org
    pdf, zip
    Updated Nov 2, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Bradley Eichelberger, SPREP PIPAP GIS Consultant (2022). Open Source GIS Training for Improved Protected Area Planning and Management in the Republic of the Marshall Islands [Dataset]. https://rmi-data.sprep.org/dataset/open-source-gis-training-improved-protected-area-planning-and-management-republic-marshall
    Explore at:
    pdf(5213196), pdf(1167275), zip(151511128), pdf(3658659)Available download formats
    Dataset updated
    Nov 2, 2022
    Dataset provided by
    Pacific Regional Environment Programmehttps://www.sprep.org/
    Authors
    Bradley Eichelberger, SPREP PIPAP GIS Consultant
    License

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

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

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

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

  20. f

    Table 2_Spatial characteristics of physical education teacher allocation in...

    • frontiersin.figshare.com
    xlsx
    Updated Sep 9, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Chengwei Xu; Bing Shi (2025). Table 2_Spatial characteristics of physical education teacher allocation in basic education: a GIS-based case study of Xi’an, China.xlsx [Dataset]. http://doi.org/10.3389/feduc.2025.1649639.s002
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Sep 9, 2025
    Dataset provided by
    Frontiers
    Authors
    Chengwei Xu; Bing Shi
    License

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

    Area covered
    Xi'An, China
    Description

    BackgroundAchieving educational equity requires understanding how physical education (PE) teachers are spatially distributed.MethodsGuided by a sports-geography lens on spatial allocation (center–periphery dynamics; clustering/dispersion), we operationalized the framework into a composite PE-teacher allocation index covering quantity, structure, quality, and professionalization. Indicator selection and interpretation follow the spatial framework, whereas data-driven weights are obtained via the entropy method, which uses between-school variation to avoid subjective expert weighting. We analyzed 1,504 schools in Xi’an (2024), cross-validating official statistics for accuracy and completeness. Spatial visualization (GIS) used Jenks natural breaks (k = 5) to reveal heterogeneity; ordinary Kriging interpolation depicted continuous gradients; and Global/Local Moran’s I (with permutation tests) quantified spatial autocorrelation patterns.ResultsXi’an exhibits a pronounced center-strong/periphery-weak pattern. High–high clusters of well-resourced schools concentrate in the urban core, whereas low–low clusters in remote districts indicate pockets of persistent under-resourcing. The Global Moran’s I for the composite index is 0.268 (Z = 5.079, p 

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Lingbo Liu; Weihe Wendy Guan; Fahui Wang; Shuming Bao (2025). Visual programming-based Geospatial Cyberinfrastructure for open-source GIS education 3.0 [Dataset]. http://doi.org/10.6084/m9.figshare.28472871.v1
Organization logo

Data from: Visual programming-based Geospatial Cyberinfrastructure for open-source GIS education 3.0

Related Article
Explore at:
docxAvailable download formats
Dataset updated
Mar 4, 2025
Dataset provided by
Taylor & Francishttps://taylorandfrancis.com/
Authors
Lingbo Liu; Weihe Wendy Guan; Fahui Wang; Shuming Bao
License

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

Description

Open-Source GIS plays a pivotal role in advancing GIS education, fostering research collaboration, and supporting global sustainability by enabling the sharing of data, models, and knowledge. However, the integration of big data, deep learning methods, and artificial intelligence deep learning in geospatial research presents significant challenges for GIS education. These include increasing software learning costs, higher computational power demand, and the management of fragmented information in the Web 2.0 context. Addressing these challenges while integrating emerging GIS innovations and restructuring GIS knowledge systems is crucial for the evolution of GIS Education 3.0. This study introduces a Visual Programming-based Geospatial Cyberinfrastructure (V-GCI) framework, integrated with the replicable and reproducible (R&R) framework, to enhance GIS function compatibility, learning scalability, and web GIS application interoperability. Through a case study on spatial accessibility using the generalized two-step floating catchment area method (G2SFCA), this paper demonstrates how V-GCI can reshape the GIS knowledge tree and its potential to enhance replicability and reproducibility within open-source GIS Education 3.0.

Search
Clear search
Close search
Google apps
Main menu