Geoinformatics and Modelling of Landslide Susceptibility and Risk An RS & GIS-based Model Building Approach in the Eastern Himalaya /
This book discusses various statistical models and their implications for developing landslide susceptibility and risk zonation maps. It also presents a range of statistical techniques, i.e. bivariate and multivariate statistical models and machine learning models, as well as multi-criteria evaluati...
| Main Authors: | , |
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| Corporate Author: | |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2019.
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| Edition: | 1st ed. 2019. |
| Series: | Environmental Science,
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| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-030-10495-5 |
| Summary: | This book discusses various statistical models and their implications for developing landslide susceptibility and risk zonation maps. It also presents a range of statistical techniques, i.e. bivariate and multivariate statistical models and machine learning models, as well as multi-criteria evaluation, pseudo-quantitative and probabilistic approaches. As such, it provides methods and techniques for RS & GIS-based models in spatial distribution for all those engaged in the preparation and development of projects, research, training courses and postgraduate studies. Further, the book offers a valuable resource for students using RS & GIS techniques in their studies. . |
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| Physical Description: | XIII, 223 p. online resource. |
| ISBN: | 9783030104955 |
| ISSN: | 1431-6250 |