Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 12 of 12 for “"Cybergis"”.
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Integrating cyberGIS and big data for scalable spatial accessibility analysis
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01
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CyberGIS-enabled reproducible agent-based modeling for scalable emergency evacuation
… makers. In this dissertation research, a novel cyberGIS-based approach to reproducible and scalable modeling of emergency evacuation is developed to encompass 1) systematic design of the approach for examining the reproducibility of scalable modeling scenarios for researchers and decision …
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An integrated cyberGIS and machine learning framework for data-intensive urban analytics
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-05-01
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CyberGIS-enabled spatial decision support for supply chain optimization with uncertainty quantification
… models. This research aims to establish a novel cyberGIS framework for resolving the computational intensity to incorporate uncertainty quantification into spatial decision support. Specifically, the cyberGIS framework seamlessly integrates uncertainty quantification and supply chain optimization …
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A CyberGIS environment for spatiotemporal analysis: a case study of China mortality data
This thesis describes an online CyberGIS (cyberinfrastructure-based geographic information system) environment for a public health application. This CyberGIS application represents a new GIS application modality for protected access to public health data and related CyberGIS analytical and …
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A CyberGIS-ABM framework for scalable spatial agent-based modeling of emergency evacuation
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01
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Data-intensive crop knowledge discovery in the era of cybergis and machine intelligence
… geospatial approaches such as deep learning and cyberGIS for multiple agricultural applications is the primary focus of this dissertation research. Specifically, several interrelated studies have been conducted to achieve high-performance and in-season crop type classification at both the county …
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A distributed workload-aware approach to partitioning geospatial big data for cybergis analytics
… workload-aware framework for supporting scalable cyberGIS (i.e. geographic information science and systems based on advanced cyberinfrastructure) analytics.
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Cybergis-enabled remote sensing data analytics for deep learning of landscape patterns and dynamics
… of LiDAR is increasingly dependent on advanced cyberGIS and deep learning approaches. In this context, the central goal of this dissertation is to develop a suite of innovative cyberGIS-enabled deep-learning frameworks for combining LiDAR and optical remote sensing data to analyze landscape …
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Data-intensive spatial pattern discovery based on generalized spatial point representations
… computational intensity of the methods? How can cyberGIS be advanced to resolve the computational intensity? Specifically, novel methods are designed in this dissertation research to exploit spatial data characteristics, innovate spatial point pattern analytics, and resolve computational …
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Systems informatics and analysis for optimization of biomass feedstock provision
… three optimization modeling tools and a CyberGIS-enabled biomass feedstock provision decision support platform have been developed to facilitate large-scale biomass feedstock provision. BioScope model, a strategic planning model, was developed to optimize long-term decisions, such as …
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A geospatial deep learning framework for scalable hydrographic mapping
… physiographic conditions. The integration of cyberGIS-enabled high-performance computing resources, including the Taylor Geospatial Institute Regional AI Learning System (TGI RAILS) and Virtual ROGER, ensures scalable training, reproducibility, and transparent experiment tracking. …