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Natural hazards GIS-based spatial modeling using data mining techniques

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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 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 throuh examples. This edited volume is shaped and structured to pprovided 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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Availability

B20201117046

551 HAM n

Perpustakaan BIG (500)

Available

Detail Information

Series Title

-

Call Number

551 HAM n

Publisher

Switzerland : Springer., 2019

Collation

xxii, 296 hlm. : illus. ; 24 cm.

Language

Inggris

ISBN/ISSN

978-3-319-73382-1

Classification

551

Content Type

text

Media Type

other

Carrier Type

unspecified

Edition

-

Subject(s)

Bencana Alam

Specific Detail Info

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Statement of Responsibility

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Other version/related

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