High Performance Geographic Information System: Architecture and Technologies

Xiong, Wei; Wu, Ye; Ouyang, Xue; Jia, Qing-ren; Chen, Hao; Chen, Luo

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.

Details

Published by: Springer

Publication Date: 2024-10-16

Format: Hardcover

ISBN-13: 9789819771691

DOI: 10.1007/978-981-97-7170-7

Dimensions: 235.0cm x155.0cm

Pages: 314.0