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Loess Landform Inheritance: Modeling and Discovery

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  • © 2019

Overview

Authors:
  1. Li-Yang Xiong

    1. School of Geography, Nanjing Normal University, Nanjing, China

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  2. Guo-An Tang

    1. School of Geography, Nanjing Normal University, Nanjing, China

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  • Investigates loess landform inheritance during the loess landform evolutionary process
  • Studies the loess formation mechanism through comprehensive approaches including Geographical Information Science, Geomorphology, Geomorphometry as well as Quaternary Sciences
  • Solves the geoscientific problem via a GIS based approach using basic geographic data of loess landform on the Loess Plateau

Part of the book series: Springer Geography (SPRINGERGEOGR)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xv
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  2. Significance of Loess Landform Inheritance

    • Li-Yang Xiong, Guo-An Tang
    Pages 1-31

  3. General Background of the Study Area and Materials

    • Li-Yang Xiong, Guo-An Tang
    Pages 33-46

  4. Conceptual Model of Loess Landform Inheritance

    • Li-Yang Xiong, Guo-An Tang
    Pages 47-74

  5. Reconstruction of the Loess Underlying Paleotopography for Loess Landform Inheritance

    • Li-Yang Xiong, Guo-An Tang
    Pages 75-133

  6. Investigation of Loess Landform Inheritance by Using Quantitative Terrain Indexes

    • Li-Yang Xiong, Guo-An Tang
    Pages 135-168

  7. Spatial Variations in Loess Landform Inheritance

    • Li-Yang Xiong, Guo-An Tang
    Pages 169-204

  8. Conclusions and Perspectives

    • Li-Yang Xiong, Guo-An Tang
    Pages 205-209

  9. Back Matter

    Pages 211-214
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Keywords

About this book

In geomorphology, landform inheritance refers to the inherited relationship of different landform morphologies in a certain area during the evolutionary process. This book studies loess landform inheritance based on national basic geographic data and GIS spatial analysis method. It reveals the Loess Plateau formation mechanism and broadens the understanding of spatial variation pattern of loess landform in the Loess Plateau.

Authors and Affiliations

  • School of Geography, Nanjing Normal University, Nanjing, China

    Li-Yang Xiong, Guo-An Tang

About the authors

Dr. Li-Yang Xiong is an associate professor at the School of Geography, Nanjing Normal University (NNU), China. He is currently responsible for managing NNU’s research in Digital Terrain Model and Digital Terrain Analysis. His main research interests include loess terrain feature characterization, landform evolution modeling, paleotopography reconstruction and geomorphological process mining. Dr. Xiong obtained his PhD degree in cartography and geographical information system at the School of Geography Science, Nanjing Normal University (NNU), China, and has previously worked at University of Wisconsin-Madison (UWM) as a postdoctoral research fellow.

Dr. Guo-An Tang is a professor at the School of Geography, Nanjing Normal University (NNU), China. He is the director of the key laboratory of geographical information science of Jiangsu Province. Dr. Tang is currently responsible for managing NNU’s research in Geographical Information Science (GIS). His main researchinterests include loess landform classification, GIS spatial analysis, geomorphometry and GIS education. Dr. Tang obtained his PhD degree in geographical information science at Salzburg University, Austria.



Bibliographic Information

  • Book Title: Loess Landform Inheritance: Modeling and Discovery

  • Authors: Li-Yang Xiong, Guo-An Tang

  • Series Title: Springer Geography

  • DOI: https://doi.org/10.1007/978-981-13-6404-4

  • Publisher: Springer Singapore

  • eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)

  • Copyright Information: Science Press and Springer Nature Singapore Pte Ltd. 2019

  • Hardcover ISBN: 978-981-13-6403-7Published: 01 April 2019

  • Softcover ISBN: 978-981-13-6406-8Published: 14 August 2020

  • eBook ISBN: 978-981-13-6404-4Published: 21 March 2019

  • Series ISSN: 2194-315X

  • Series E-ISSN: 2194-3168

  • Edition Number: 1

  • Number of Pages: XV, 214

  • Number of Illustrations: 44 b/w illustrations, 83 illustrations in colour

  • Additional Information: Jointly published with Science Press, Beijing, China, 2019

  • Topics: Geomorphology, Geographical Information Systems/Cartography

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