GIS and Geocomputation for Water Resource Science and Engineering

Nonfiction, Science & Nature, Science, Earth Sciences, Geography
Cover of the book GIS and Geocomputation for Water Resource Science and Engineering by Barnali Dixon, Venkatesh Uddameri, Wiley
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Author: Barnali Dixon, Venkatesh Uddameri ISBN: 9781118826188
Publisher: Wiley Publication: November 30, 2015
Imprint: American Geophysical Union Language: English
Author: Barnali Dixon, Venkatesh Uddameri
ISBN: 9781118826188
Publisher: Wiley
Publication: November 30, 2015
Imprint: American Geophysical Union
Language: English

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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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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