3 datasets found
  1. W

    Web-GIS GeoProcessor 2.0

    • cloud.csiss.gmu.edu
    html
    Updated Mar 21, 2019
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    GEOSS CSR (2019). Web-GIS GeoProcessor 2.0 [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/web-gis-geoprocessor-2-0
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    htmlAvailable download formats
    Dataset updated
    Mar 21, 2019
    Dataset provided by
    GEOSS CSR
    Description

    Web GIS GeoProcessor (http://www.geo.iitp.ru/app.php?link=gis:geoproc2) is targeted to perform analysis of spatial geographic information as well as to solve problems of spatial forecasting. The field of application comprises spatial-data analysis, geological environment research and decision-making support in such problems as seismic hazard assessment and environmental zonation. Analytical abilities of GIS are supplemented by visual research methods, vector and grid-based data calculations, operations of spatial forecasting and pattern recognition, etc. Considering examples of earthquake damage assessment, seismic hazard analysis, geophysical properties forecasting, GeoProcessor 2.0 proved to be an effective tool for fundamental and applied problem investigation.

  2. W

    Web-GIS GeoTime 2.0

    • cloud.csiss.gmu.edu
    html
    Updated Mar 21, 2019
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    GEOSS CSR (2019). Web-GIS GeoTime 2.0 [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/web-gis-geotime-2-0
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    htmlAvailable download formats
    Dataset updated
    Mar 21, 2019
    Dataset provided by
    GEOSS CSR
    Description

    Web-GIS GeoTime 2.0 is intended for spatio-temporal process analysis and simulation. The field of application comprises seismic hazard, earthquake precursor analysis etc. The system consists of the kernel and a set of user-defined plug-ins that make the system capable to solve the problems in the specific areas of study. The animated visualization facilities of GIS provide visual exploration of 3D raster fields and 4D event catalogues as well. The system possesses a wide range of advanced analytical functions. Along with common vector and 3D grid-based calculations there are a number of additional plug-ins designed for computation of spatio-temporal fields of seismic characteristics. They comprise plug-in for minimal representative magnitude field estimation (Mmin), b-value, seismic activity, RTL, plug-in for detection and significance estimation of spatio-temporal earthquake precursors etc.

  3. f

    Data from: Visual programming-based Geospatial Cyberinfrastructure for...

    • tandf.figshare.com
    docx
    Updated Mar 4, 2025
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    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
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    docxAvailable download formats
    Dataset updated
    Mar 4, 2025
    Dataset provided by
    Taylor & Francis
    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.

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Share
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Email
Click to copy link
Link copied
Close
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GEOSS CSR (2019). Web-GIS GeoProcessor 2.0 [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/web-gis-geoprocessor-2-0

Web-GIS GeoProcessor 2.0

Explore at:
htmlAvailable download formats
Dataset updated
Mar 21, 2019
Dataset provided by
GEOSS CSR
Description

Web GIS GeoProcessor (http://www.geo.iitp.ru/app.php?link=gis:geoproc2) is targeted to perform analysis of spatial geographic information as well as to solve problems of spatial forecasting. The field of application comprises spatial-data analysis, geological environment research and decision-making support in such problems as seismic hazard assessment and environmental zonation. Analytical abilities of GIS are supplemented by visual research methods, vector and grid-based data calculations, operations of spatial forecasting and pattern recognition, etc. Considering examples of earthquake damage assessment, seismic hazard analysis, geophysical properties forecasting, GeoProcessor 2.0 proved to be an effective tool for fundamental and applied problem investigation.

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