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.

This textbook presents a clear and accessible argument for sustainable planning and development.  The book discusses multiple environmental issues and examines how potential solutions can and should be addressed in the context of space and place. The book also offers an invaluable discussion on the need for a framework for system-based thinking where various disciplines should work together to find innovative solutions. Students are provided with an appreciation of the need for an interdisciplinary approach to these issues combined with an underlying sense of space, an appreciation of cultural diversity and differences, as well as associated insights into human relationships. These core attributes put space at the heart of environmental and natural resources management, in terms of policy, planning and on-the-ground initiatives. This book will be an invaluable reference for advanced undergraduate, graduate students and researchers working in the field looking for an accessible overview of this interdisciplinary approach to the topic.

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.