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Record Nr. |
UNINA9910896532103321 |
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Autore |
Xiong Wei |
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Titolo |
High Performance Geographic Information System : Architecture and Technologies / / by Wei Xiong, Ye Wu, Xue Ouyang, Qing-ren Jia, Hao Chen, Luo Chen |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
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ISBN |
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Edizione |
[1st ed. 2024.] |
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Descrizione fisica |
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1 online resource (334 pages) |
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Altri autori (Persone) |
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WuYe |
OuyangXue |
JiaQing-ren |
ChenHao |
ChenLuo |
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Disciplina |
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Soggetti |
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Geographic information systems |
Computational intelligence |
Engineering - Data processing |
Geographical Information System |
Computational Intelligence |
Data Engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Introduction -- The Architecture of High Performance Geographic Information System -- Management of Big Spatial Data -- Multi-paradigm Geocomputing -- Online Mapping and Visualization High pearformance GIS -- High performance GIS Platform -- Application of High performance GIS -- Trends of High performance GIS. |
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Sommario/riassunto |
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The development of earth observation and computing technology has promoted the wide application of spatio-temporal big data and artificial intelligence. The enrichment of data and the improvement of computational performance make it possible to perform spatio-temporal analysis and computation on a larger scale. Therefore, it is necessary to study the optimization methods and application methods of high performance geocomputing, starting from GIS architecture, in |
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order to form a high performance GIS that can serve the society and economy and support various applications. This book focuses on the architecture, technology, platform and application of high-performance GIS, analyzes the key technologies of spatio-temporal big data organization and access, parallelized spatial analysis and processing, large-scale map rendering and parallel visualization under the high-performance computing architecture, explains how to build high-performance geographic information applications, and looks forward to the trend of the new generation of GIS. |
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