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Basics of Computational Geophysics provides a one-stop, collective
resource for practitioners on the different techniques and models
in geoscience, their practical applications, and case studies. The
reference provides the modeling theory in an easy-to-read format
that is verified with onsite models for specific regions and
scenarios, including the use of big data and artificial
intelligence. This book offers a platform whereby readers will
learn theory, practical applications, and the comparison of
real-world problems surrounding geomechanics, modeling and
optimizations.
GIS and Geocomputation for Water Resource Science and Engineering
not only provides a comprehensive introduction to the fundamentals
of geographic information systems but also demonstrates how GIS and
mathematical models can be integrated to develop spatial decision
support systems to support water resources planning, management and
engineering. The book uses a hands-on active learning approach to
introduce fundamental concepts and numerous case-studies are
provided to reinforce learning and demonstrate practical aspects.
The benefits and challenges of using GIS in environmental and water
resources fields are clearly tackled in this book, demonstrating
how these technologies can be used to harness increasingly
available digital data to develop spatially-oriented sustainable
solutions. In addition to providing a strong grounding on
fundamentals, the book also demonstrates how GIS can be combined
with traditional physics-based and statistical models as well as
information-theoretic tools like neural networks and fuzzy set
theory.
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