High Accuracy Surface Modeling Method: The Robustness
Autor Na Zhao, TianXiang Yueen Limba Engleză Paperback – 14 aug 2022
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.
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Specificații
ISBN-13: 9789811640292
ISBN-10: 9811640297
Pagini: 187
Ilustrații: XVIII, 187 p. 108 illus., 75 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.3 kg
Ediția:1st ed. 2021
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore
ISBN-10: 9811640297
Pagini: 187
Ilustrații: XVIII, 187 p. 108 illus., 75 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.3 kg
Ediția:1st ed. 2021
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore
Cuprins
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.
Notă biografică
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.
Textul de pe ultima copertă
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.
Caracteristici
Presents a framework for understanding the robustness of numerical models Shares many tips and insights into improving performance of HASM Explains different implementations of HASM in climate simulations Offers an improved method for surface modeling of geographic variables