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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.
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