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Books in English > Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems > Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques

Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques

Name: Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques
Brand: Springer International Publishing AG
SKU: 18656954
Price: 51561 HUF
Availability: InStock
Author: Hamid Reza Pourghasemi
ISBN: 9783319733821

Hamid Reza Pourghasemi

Mauro Rossi

Language

English

Book Hardback

Libristo code: 18656954

Publishers Springer International Publishing AG, January 2019

This edited volume assesses capabilities of data mining algorithms for spatial modeling of natural h... Full description

Libristo code: 18656954

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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 into three parts which were under the editorial responsibility of different section editors: (1) Geophysical disasters, (2) Hydrological disasters, and (3) climatological disaster. The first part consists of landslides and earthquake (seismic) disasters. The second part includes flash flood, erosion, and land subsidence research. The final part focuses on climate change, forest fire, land fire, and drought subjects. 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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About the book

Full name Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques

Author Hamid Reza Pourghasemi, Mauro Rossi

Language

English

Binding Book - Hardback

Date of issue 2019

Number of pages 296

EAN 9783319733821

ISBN 3319733826

Libristo code 18656954

Publishers Springer International Publishing AG

Weight 776

Dimensions 155 x 235 x 21

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