Advances in natural and technological hazards research,
Volume Designation
volume 48
ISSN of Series
2213-6959 ;
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references.
SUMMARY OR ABSTRACT
Text of Note
"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 of 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"--Print version, page 4 of cover.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9783319733838
OTHER EDITION IN ANOTHER MEDIUM
Title
Natural hazards GIS-based spatial modeling using data mining techniques.
International Standard Book Number
9783319733821
TOPICAL NAME USED AS SUBJECT
Data mining.
Emergency management-- Geographic information systems.
Natural disasters-- Geographic information systems.