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Titlebook: High Performance Computing for Geospatial Applications; Wenwu Tang,Shaowen Wang Book 2020 Springer Nature Switzerland AG 2020 High perform

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發(fā)表于 2025-3-21 16:27:47 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱High Performance Computing for Geospatial Applications
編輯Wenwu Tang,Shaowen Wang
視頻videohttp://file.papertrans.cn/427/426348/426348.mp4
概述Fills the gap between the rapid development of High Performance Computing (HPC) approaches and their geospatial applications.Presents applications of HPC in geospatial domains, including ecology, land
叢書名稱Geotechnologies and the Environment
圖書封面Titlebook: High Performance Computing for Geospatial Applications; Wenwu Tang,Shaowen Wang Book 2020 Springer Nature Switzerland AG 2020 High perform
描述.This volume fills a research gap between the rapid development of High Performance Computing (HPC) approaches and their geospatial applications.?With a focus on geospatial applications, the book discusses in detail how researchers apply HPC to tackle their geospatial problems.?Based on this focus, the book identifies the opportunities and challenges revolving around geospatial applications of HPC.?Readers are introduced to the fundamentals of HPC, and will learn how HPC methods are applied in various specific areas of geospatial study.?..The book begins by discussing theoretical aspects and methodological uses of HPC within a geospatial context, including parallel algorithms, geospatial data handling, spatial analysis and modeling, and cartography and geovisualization. Then, specific domain applications of HPC are addressed in the contexts of earth science, land use and land cover change, urban studies, transportation studies, and social science. The bookwill be of interest to scientists and engineers who are interested in applying cutting-edge HPC technologies in their respective fields, as well as students and faculty engaged in geography, environmental science, social science,
出版日期Book 2020
關(guān)鍵詞High performance computing; Geospatial data; Parallel algorithms; Remote sensing; Geovisualization; Carto
版次1
doihttps://doi.org/10.1007/978-3-030-47998-5
isbn_softcover978-3-030-48000-4
isbn_ebook978-3-030-47998-5Series ISSN 2365-0575 Series E-ISSN 2365-0583
issn_series 2365-0575
copyrightSpringer Nature Switzerland AG 2020
The information of publication is updating

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Zachery Slocum,Wenwu Tang during the second half of the interaction period with the video in Digital Television inside the classroom. It should be mentioned that it was not the aim of this study to compare both countries, but to validate this strategy in two culturally different contexts. The study showed how practicing lan
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ore the user can visualize the status of each sensor and take action on its actuators. In addition, a mobile user application was implemented to provide interoperability and usability in multiple devices..The communication protocol is developed in order to manage data sent from the application throu
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Marc P. Armstrongthe experience lived during these moments. Likewise, dealing with older people requires extra care (physical, language, etc.) by the researchers, considering the anticipated and unexpected difficulties that can arise. Thus, the present paper aims to describe and discuss the challenges faced by the +
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High Performance Computing for Geospatial Applications
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Quantum Computing for Solving Spatial Optimization Problemsample of programming a .-median model and a case study on spatial supply chain optimization. The research findings also address the short- and long-term potential of quantum computing in the future development of high-performance computing for geospatial applications.
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