High Performance Geographic Information System

Architecture and Technologies
2024
ISBN: 978-981-97-7169-1
Verlag: Springer Nature Singapore

Buch, Englisch, 314 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 738 g

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.

Zielgruppe

Research

Autoren/Hrsg.

Xiong, Wei

Wu, Ye

Chen, Luo

Ouyang, Xue

Jia, Qing-Ren

Chen, Hao

Fachgebiete

• Geowissenschaften Geographie | Raumplanung Geodäsie, Kartographie, GIS, Fernerkundung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken
• Geowissenschaften Geologie GIS, Geoinformatik

Inhaltsverzeichnis

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.

Über Autor(innen)

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.