Anthropogeomorphology: A Geospatial Technology Based Approach

This  book explores state-of-art techniques based on open-source software and  statistical programming and modelling in modern geospatial  applications, specifically focusing on recent trends in data mining  techniques and robust modelling in Geomorphological, Hydrological,  Bio-physical and Social activities. The book is organized into physical,  mountainous, coastal, riverine, forest, urban and biological  activities, with each chapter providing a review of the current  knowledge in the focus area, and evaluating where future efforts should  be directed. The text compiles a collection of recent developments and  rigorous applications of Geospatial computational intelligence (e.g.,  artificial neural network, spatial interpolation, physical and  environmental modelling and machine learning algorithms etc) in  geomorphic processes from a team of expert contributors. The authors  address the wide range of challenges and uncertainties in the study of  earth system dynamics due to climate change, and complex anthropogenic  interferences where spatial modelling may be applied in the risk  assessment of vulnerable geomorphological landscapes. The book will act  as a guide to find recent advancements in geospatial artificial  intelligence techniques and its application to natural and social  hazards. This information will be helpful for students, researchers,  policy makers, environmentalists, planners involved in natural hazard  and disaster management, NGOs, and government organizations.