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Titlebook: CyberGIS for Geospatial Discovery and Innovation; Shaowen Wang,Michael F. Goodchild Book 2019 Springer Nature B.V. 2019 CyberGIS.Big data.

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樓主: 征募
31#
發(fā)表于 2025-3-26 22:57:27 | 只看該作者
Designing Adaptable Spatial Cyberinfrastructure for Urban eResearchrchitectures are examined in the context of the implemented components of the AURIN system. We conclude by discussing the benefits as well as challenges of this system architecture pattern for meeting the needs of urban researchers.
32#
發(fā)表于 2025-3-27 04:50:36 | 只看該作者
Mapping Spatial Information Landscape in Cyberspace with Social Mediad varies by topics. As a pilot study of mapping cyberspace to real space, this chapter presents two case studies on visualizing information landscape in cyberspace and also addresses some limitations and suggestions for future research in this domain.
33#
發(fā)表于 2025-3-27 08:22:14 | 只看該作者
34#
發(fā)表于 2025-3-27 12:16:29 | 只看該作者
Crayons: Empowering CyberGIS by Employing Cloud Infrastructuredistributed GIS system over cloud capable of end-to-end spatial overlay analysis. We demonstrate how Azure platforms storage, communication, and computation mechanisms can support high performance computing (HPC) application development. Crayons scales well for sufficiently large data sets, achievin
35#
發(fā)表于 2025-3-27 17:22:53 | 只看該作者
Enabling Spatial Big Data via CyberGIS: Challenges and Opportunities then provide an overview of the current efforts, challenges and opportunities available when spatial big data is enabled via next-generation CyberGIS. Our discussion includes current accomplishments and opportunities from both an analytics and an infrastructure perspective.
36#
發(fā)表于 2025-3-27 20:53:43 | 只看該作者
High-Performance Small-Scale Raster Map Projection Empowered by Cyberinfrastructureocessors was small. Without being exposed to large-scale supercomputers through software integration efforts, such flaws might remain unidentified. Overall, the two computational bottlenecks highlighted in this chapter, workload distribution and data-dependent load balancing, showed that in order to
37#
發(fā)表于 2025-3-27 22:14:58 | 只看該作者
38#
發(fā)表于 2025-3-28 04:38:16 | 只看該作者
39#
發(fā)表于 2025-3-28 09:47:36 | 只看該作者
40#
發(fā)表于 2025-3-28 12:06:27 | 只看該作者
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