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Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques

2018-12-13 Nature
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Release : 2018-12-13
Genre : Nature
Kind : eBook
Book Rating : 834/5 ( reviews)

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Book Synopsis Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques by : Hamid Reza Pourghasemi

Download or read book Natural Hazards GIS-Based Spatial Modeling Using Data Mining Techniques written by Hamid Reza Pourghasemi. This book was released on 2018-12-13. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Spatial Modeling in GIS and R for Earth and Environmental Sciences

2019-01-18 Science
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Release : 2019-01-18
Genre : Science
Kind : eBook
Book Rating : 953/5 ( reviews)

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Book Synopsis Spatial Modeling in GIS and R for Earth and Environmental Sciences by : Hamid Reza Pourghasemi

Download or read book Spatial Modeling in GIS and R for Earth and Environmental Sciences written by Hamid Reza Pourghasemi. This book was released on 2019-01-18. Available in PDF, EPUB and Kindle. Book excerpt: Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. - Offers a clear, interdisciplinary guide to serve researchers in a variety of fields, including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment and geography - Provides an overview, methods and case studies for each application - Expresses concepts and methods at an appropriate level for both students and new users to learn by example

Geospatial Technology for Environmental Hazards

2021-12-02 Science
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Release : 2021-12-02
Genre : Science
Kind : eBook
Book Rating : 97X/5 ( reviews)

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Book Synopsis Geospatial Technology for Environmental Hazards by : Pravat Kumar Shit

Download or read book Geospatial Technology for Environmental Hazards written by Pravat Kumar Shit. This book was released on 2021-12-02. Available in PDF, EPUB and Kindle. Book excerpt: The book demonstrates the geospatial technology approach to data mining techniques, data analysis, modeling, risk assessment, visualization, and management strategies in different aspects of natural and social hazards. This book has 25 chapters associated with risk assessment, mapping and management strategies of environmental hazards. It covers major topics such as Landslide Susceptibility, Arsenic Contaminated Groundwater, Earthquake Risk Management, Open Cast Mining, Soil loss, Flood Susceptibility, Forest Fire Risk, Malaria prevalence, Flood inundation, Socio-Economic Vulnerability, River Bank Erosion, and Socio-Economic Vulnerability. The content of this book will be of interest to researchers, professionals, and policymakers, whose work involves environmental hazards and related solutions.

Spatial Modelling of Flood Risk and Flood Hazards

2022-04-06 Computers
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Release : 2022-04-06
Genre : Computers
Kind : eBook
Book Rating : 448/5 ( reviews)

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Book Synopsis Spatial Modelling of Flood Risk and Flood Hazards by : Biswajeet Pradhan

Download or read book Spatial Modelling of Flood Risk and Flood Hazards written by Biswajeet Pradhan. This book was released on 2022-04-06. Available in PDF, EPUB and Kindle. Book excerpt: Floods and flash floods with hydro-meteorological and tropical cyclones are the some of the most devastating natural disasters causing massive damages to natural and man-made features. Flood hazards are a major threat to human life, properties (agricultural area, yield production, building and homes) and infrastructures (bridges, roads, railways, urban infrastructures, etc). Flood hazards susceptibility mapping (risk assessment) and modelling is an essential step for early warning systems, emergency services, prevention and mitigation of future environmental and social hazards and implementation of risk management strategies. Due to the lack of proper information, technology-based policies and strategies, mapping and modelling can often not be implemented to the best possible level. Geo-spatial techniques have enjoyed rising interest in recent decades among the earth environmental and social sciences research communities for their powerful ability to solve and understand various complex problems and develop novel approaches toward sustainable earth and human society. By linking geo-spatial computational intelligence techniques with societal and environmental-oriented problems, this book demonstrates geospatial technology approaches to data mining techniques, data analysis, modelling, risk assessment and visualization and management strategies in different aspects of flood hazards. We believe that a diverse group of academics, scientists, geographers, hydrologist, remote sensing and GIS expertise, environmentalists, meteorologists and computing experts with a common interest in geospatial sciences within the earth environmental sciences and humanistic and social sciences will find this book to be of great value.

Spatial Modelling and Failure Analysis of Natural and Engineering Disasters through Data-Based Methods,volume III

2024-09-12 Science
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Release : 2024-09-12
Genre : Science
Kind : eBook
Book Rating : 237/5 ( reviews)

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Book Synopsis Spatial Modelling and Failure Analysis of Natural and Engineering Disasters through Data-Based Methods,volume III by : Faming Huang

Download or read book Spatial Modelling and Failure Analysis of Natural and Engineering Disasters through Data-Based Methods,volume III written by Faming Huang. This book was released on 2024-09-12. Available in PDF, EPUB and Kindle. Book excerpt: This Research Topic is Volume III of a series. The previous volume can be found here: Spatial Modelling and Failure Analysis of Natural and Engineering Disasters through Data-based Methods - Volume II and Spatial Modelling and Failure Analysis of Natural and Engineering Disasters through Data-based Methods Natural and engineering disasters, which include landslides, rock fall, rainstorm, dam failure, floods, earthquakes, road and building disasters and wildfires, appear as results of the progressive or extreme evolution of climatic, tectonic and geomorphological processes and human engineering activities. It is significant to explore the failure mechanism and carry out spatial modeling of these engineering and natural disasters due to their serious harm to the safety of people's lives and property. The data-based methods, including advanced and successful remote sensing, geographic information systems, machine learning and numerical simulation techniques methods, are promising tools to analyze these complex disasters. Machine Learning models such as neurofuzzy logic, decision tree, artificial neural network, deep learning and evolutionary algorithms are characterized by their abilities to produce knowledge and discover hidden and unknown patterns and trends from large databases, whereas remote sensing and Geographic Information Systems appear as significant technology equipped with tools for data manipulation and advanced mathematical modeling. What is more, the numerical simulation can also be acknowledged as advanced technologies for discovering hidden failure mechanism of disasters. The main objective of this Research Topic is to provide a scientific forum for advancing the successful implementation of Machine Learning (ML) and numerical simulation techniques in operation rules, failure mechanism, spatial and time series prediction, susceptibility mapping, hazard assessment, vulnerability modeling, risk assessment and early warning of complex natural and engineering disasters.

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