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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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Ketersediaan

B20201117046

551 HAM n

Perpustakaan BIG (500)

Tersedia

Informasi Detail

Judul Seri

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No. Panggil

551 HAM n

Penerbit

Switzerland : Springer., 2019

Deskripsi Fisik

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

Bahasa

Inggris

ISBN/ISSN

978-3-319-73382-1

Klasifikasi

551

Tipe Isi

text

Tipe Media

other

Tipe Pembawa

unspecified

Edisi

-

Subjek

Bencana Alam

Info Detail Spesifik

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Pernyataan Tanggungjawab

-

Versi lain/terkait

Lampiran Berkas

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