High Performance Geographic Information System

Architecture and Technologies

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Éditeur :

Springer


Paru le : 2024-10-15



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Description

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.
 
Pages
314 pages
Collection
n.c
Parution
2024-10-15
Marque
Springer
EAN papier
9789819771691
EAN PDF
9789819771707

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
20808 Ko
Prix
242,64 €
EAN EPUB
9789819771707

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
31
Taille du fichier
79032 Ko
Prix
242,64 €

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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