Synopsis
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 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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À propos de l'auteur
Wei Xiong is a Professor at the National University of Defense Technology, China. His research areas include spatial databases, high-performance geographic information system, and apply artificial intelligence to solve geospatial problems. He has received research funding from the National Natural Science Foundation and the Ministry of Science and Technology. He was participated in the development of the spatial database BeyonDB and high-performance geographic information system HiGIS. He has won the second prize of the National Science and Technology Progress Award in 2020.
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