Książka Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques Hamid Reza Pourghasemi

Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques

Język: Angielski
Oprawa: Twarda
Dostępność: Dostępna u dostawcy
Wysyłamy za 10-13 dni
549.29
This edited volume assesses capabilities of data mining algorithms for spatial modeling of natural h...

Informacje o książce

Język
Angielski
Oprawa
Książka - Twarda
Data wydania
2019
strony
296
EAN
9783319733821
ISBN
3319733826
Enbook ID
18656954
Waga
776
Wymiary
155 x 235 x 21

Pełny opis

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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