000			nam a22 4500
999			_c33091 _d33091
008			240320b xxu||||| |||| 00| 0 eng d
020			_a9783319733821
082			_a006.312 _bPOU
100			_aPourghasemi, Hamid Reza
245			_aNatural hazards GIS-based spatial modeling using data mining techniques
260			_bSpringer, _c2019 _aCham :
300			_axxii, 296 p. ; _bill., (some col.) , _c24 cm
365			_b119.90 _c€ _d93.50
490			_aAdvances in natural and technological hazards research ; _vv. 48
504			_aIncludes bibliographical references
520			_aThis 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.
650			_aData Mining
650			_aEmergency management
650			_aGeographic information systems
650			_aNatural disasters
700			_aRossi, Mauro
942			_2ddc _cBK