Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Januar 2019
Genre:	Naturwissensch., Medizin, Technik
	B / Data Mining / Data Mining and Knowledge Discovery / Earth and Environmental Science / Expert systems / knowledge-based systems / Land subsidence assessment / Multi-hazard risk assessment / Natural disasters / Natural Hazards / seismic hazard / Wissensbasierte Systeme, Expertensysteme mehr...
ISBN:	9783319733821
EAN-Code:	9783319733821
Verlag:	Springer EN
Einband:	Gebunden
Sprache:	English
Serie:	#48 - Advances in Natural and Technological Hazards Research
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	776 gr
Seiten:	296
Illustration:	XXII, 296 p. 146 illus., 131 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.