High Performance Computing for Geospatial Applications

✍ Scribed by Wenwu Tang, Shaowen Wang

• Publisher: Springer International Publishing;Springer
• Year: 2020
• Tongue: English
• Leaves: 298
• Series: Geotechnologies and the Environment 23
• Edition: 1st ed.
• Category: Library

✦ Synopsis

This volume fills a research gap between the rapid development of High Performance Computing (HPC) approaches and their geospatial applications. With a focus on geospatial applications, the book discusses in detail how researchers apply HPC to tackle their geospatial problems. Based on this focus, the book identifies the opportunities and challenges revolving around geospatial applications of HPC. Readers are introduced to the fundamentals of HPC, and will learn how HPC methods are applied in various specific areas of geospatial study.

The book begins by discussing theoretical aspects and methodological uses of HPC within a geospatial context, including parallel algorithms, geospatial data handling, spatial analysis and modeling, and cartography and geovisualization. Then, specific domain applications of HPC are addressed in the contexts of earth science, land use and land cover change, urban studies, transportation studies, and social science. The book will be of interest to scientists and engineers who are interested in applying cutting-edge HPC technologies in their respective fields, as well as students and faculty engaged in geography, environmental science, social science, and computer science.

✦ Table of Contents

Front Matter ....Pages i-xiii
Navigating High Performance Computing for Geospatial Applications (Wenwu Tang, Shaowen Wang)....Pages 1-5
Front Matter ....Pages 7-7
High Performance Computing for Geospatial Applications: A Retrospective View (Marc P. Armstrong)....Pages 9-25
Spatiotemporal Domain Decomposition for High Performance Computing: A Flexible Splits Heuristic to Minimize Redundancy (Alexander Hohl, Erik Saule, Eric Delmelle, Wenwu Tang)....Pages 27-50
Front Matter ....Pages 51-51
Geospatial Big Data Handling with High Performance Computing: Current Approaches and Future Directions (Zhenlong Li)....Pages 53-76
Parallel Landscape Visibility Analysis: A Case Study in Archaeology (Minrui Zheng, Wenwu Tang, Akinwumi Ogundiran, Tianyang Chen, Jianxin Yang)....Pages 77-96
Quantum Computing for Solving Spatial Optimization Problems (Mengyu Guo, Shaowen Wang)....Pages 97-113
Code Reusability and Transparency of Agent-Based Modeling: A Review from a Cyberinfrastructure Perspective (Wenwu Tang, Volker Grimm, Leigh Tesfatsion, Eric Shook, David Bennett, Li An et al.)....Pages 115-134
Integration of Web GIS with High-Performance Computing: A Container-Based Cloud Computing Approach (Zachery Slocum, Wenwu Tang)....Pages 135-157
Cartographic Mapping Driven by High-Performance Computing: A Review (Wenwu Tang)....Pages 159-172
Front Matter ....Pages 173-173
High-Performance Computing for Earth System Modeling (Dali Wang, Fengming Yuan)....Pages 175-184
High-Performance Pareto-Based Optimization Model for Spatial Land Use Allocation (Xiaoya Ma, Xiang Zhao, Ping Jiang, Yuangang Liu)....Pages 185-209
High-Performance Computing in Urban Modeling (Zhaoya Gong, Wenwu Tang)....Pages 211-225
Building a GPU-Enabled Analytical Workflow for Maritime Pattern Discovery Using Automatic Identification System Data (Xuantong Wang, Jing Li, Tong Zhang)....Pages 227-248
Domain Application of High Performance Computing in Earth Science: An Example of Dust Storm Modeling and Visualization (Qunying Huang, Jing Li, Tong Zhang)....Pages 249-268
Front Matter ....Pages 269-269
High Performance Computing for Geospatial Applications: A Prospective View (Marc P. Armstrong)....Pages 271-284
Back Matter ....Pages 285-296

✦ Subjects

Geography; Remote Sensing/Photogrammetry; Big Data; Data-driven Science, Modeling and Theory Building; Environmental Science and Engineering; Landscape Ecology