Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques

Language: English

Published by Springer, Springer Jan 2019, 2019

3319733826 / 9783319733821

Series: Book 41 of 41 - Advances in Natural and Technological Hazards Research

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This item is printed on demand - Print on Demand Titel. Neuware -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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 320 pp. Englisch.

Seller Inventory # 9783319733821

Title
Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques
Author
Hamid Reza Pourghasemi
Publisher
Springer, Springer Jan 2019
Publication year
2019
Condition
Neu
Binding
Buch
Language
English
ISBN 10
3319733826
ISBN 13
9783319733821
Item weight
705 grams
Dimensions
241x160x22 mm
Series
Book 41 of 41: Advances in Natural and Technological Hazards Research

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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