GIS and geocomputation for water resource science and engineering / [Book] / Barnali Dixon and Venkatesh Uddameri.
Material type: TextDescription: xiv, 545 pages : illustrations (color) ; 28 cmISBN:- 9781118354148 (cloth)
- 9781118354131 (paperback)
- 628.10285 23
- 628.10285
Item type | Current library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|
Books | Junaid Zaidi Library, COMSATS University Islamabad 2nd Floor | 628.10285 DIX-G (Browse shelf(Opens below)) | Available | 54064 |
Browsing Junaid Zaidi Library, COMSATS University Islamabad shelves, Shelving location: 2nd Floor Close shelf browser (Hides shelf browser)
627.98 CHA-O Ocean structures : construction, materials, and operations / | 628.03 POR-D Dictionary of environmental science and technology | 628.03 WYM-D Dictionary of environmental science | 628.10285 DIX-G GIS and geocomputation for water resource science and engineering / | 628.301579 BIT-W 54180 Wastewater microbiology / | 628.301579 BIT-W 63471 Wastewater microbiology / | 628.35 GER-M The microbiology of anaerobic digesters |
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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