High Accuracy Surface Modeling Method: The Robustness

1. Auflage 2021
ISBN: 978-981-16-4026-1
Verlag: Springer Nature Singapore

Buch, Englisch, 187 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 483 g

This book focuses on the robustness analysis of high accuracy surface modeling method (HASM) to yield good performance of it. Understanding the sensitivity and uncertainty is important in model applications. The book aims to advance an integral framework for assessing model error that can demonstrate robustness across sets of possible controls, variable definitions, standard error, algorithm structure, and functional forms. It is an essential reference to the most promising numerical models. In areas where there is less certainty about models, but also high expectations of transparency, robustness analysis should aspire to be as broad as possible. This book also contains a chapter at the end featuring applications in climate simulation illustrating different implementations of HASM in surface modeling. The book is helpful for people involved in geographical information science, ecological informatics, geography, earth observation, and planetary surface modeling.

Zielgruppe

Research

Autoren/Hrsg.

Yue, Tianxiang

Zhao, Na

Fachgebiete

• Geowissenschaften Geographie | Raumplanung Geographie: Allgemeines, Karten & Atlanten
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Naturwissenschaften Biowissenschaften Biowissenschaften Ökologie
• Naturwissenschaften Astronomie Astronomie: Allgemeines
• Geowissenschaften Geologie Meteorologie, Klimatologie

Inhaltsverzeichnis

Chapter1 Research Process of the surface modeling method.- Chapter 2 Modern method of high accuracy surface modeling.- Chapter 3 Sensitivity analysis of HASM.- Chapter 4 Effect of sampling information on HASM.- Chapter 5 Efficient computation methods for HASM.- Chapter 6 Different implementations of HASM in simulating climate variables.

Über Autor(innen)

Na Zhao, Associate Professor, Department for Eco-Environmental Informatics, State Key Laboratory of Resources & Environmental Information System, Institute of Geographical Science and Natural Resources Research, Chinese Academy of Sciences (IGSNRR, CAS). She focuses on the field of surface modeling method, and climate change. 
TianXiang Yue, Chief Professor at State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, He is Editorial Board Mermbers of several journals including Science China, Transactions in GIS, Journal of Geographical Sciences, and Journal of Ecology. His main research interests are Modeling of Earth Surface System, Eco-environmental Informatics.