Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques
Series: Advances in Natural and Technological Hazards Research; 48;
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Product details:
- Edition number 1st ed. 2019
- Publisher Springer International Publishing
- Date of Publication 24 January 2019
- Number of Volumes 1 pieces, Book
- ISBN 9783319733821
- Binding Hardback
- No. of pages296 pages
- Size 235x155 mm
- Weight 776 g
- Language English
- Illustrations XXII, 296 p. 146 illus., 131 illus. in color. Illustrations, black & white 0
Categories
Long description:
This edited volume assesses capabilities of data mining algorithms for spatial modeling of natural hazards in different countries based on a collection of essays written by experts in the field. The book is organized on different hazards including landslides, flood, forest fire, land subsidence, earthquake, and gully erosion. Chapters were peer-reviewed by recognized scholars in the field of natural hazards research. Each chapter provides an overview on the topic, methods applied, and discusses examples used. The concepts and methods are explained at a level that allows undergraduates to understand and other readers learn through examples. This edited volume is shaped and structured to provide the reader with a comprehensive overview of all covered topics. It serves as a reference for researchers from different fields including land surveying, remote sensing, cartography, GIS, geophysics, geology, natural resources, and geography. It also serves as a guide for researchers, students, organizations, and decision makers active in land use planning and hazard management.
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