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GIS, Environmental Modeling and Engineering
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GIS, Environmental Modeling and Engineering

Book Details

Format Paperback / Softback
ISBN-10 0367577194
ISBN-13 9780367577193
Publisher Taylor & Francis Ltd
Imprint CRC Press
Country of Manufacture GB
Country of Publication GB
Publication Date Jun 30th, 2020
Print length 378 Pages
Weight 574 grams
Dimensions 15.80 x 23.50 x 2.30 cms
Ksh 9,450.00
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Promoting the critical thinking needed for the effective applications of these systems and their analytical outputs, this book explores how to use GIS and external models to solve real environmental problems. The text defines GIS, identifies how data is structured, and explains common functionality. The author discuss modeling from a neutral sci
Spatial dimensions need to be properly captured if modeling and engineering techniques are to be successfully applied in addressing environmental problems. The links between the geographical information systems (GIS) that capture this data, simulation modeling, and engineering offer tremendous possibilities for building versatile support systems for managing the environment. GIS, Environmental Modeling and Engineering focuses on using GIS and external models to solve real environmental problems, promoting the critical thinking needed for the effective applications of these systems and their analytical outputs.

Divided into three major sections, this textbook first concentrates on defining GIS, identifying how data is structured, and explaining common functionality. The text examines GIS from a technological perspective, exploring the evolution of its scientific basis and its synergies with other technologies within a geocomputational paradigm. The next section explores modeling from a neutral scientific perspective in its role of simulating phenomena, as well as from a more specific perspective in its role within environmental science and engineering. The third and largest section looks at how GIS and simulation modeling are joined. It provides case studies and covers issues such as interoperability, data quality, model validity, space-time dynamics, and decision-support systems.

This volume provides seniors and postgraduate students with a structured, coherent text that goes beyond introductory subject matter by enabling readers to think critically about the data acquisition process and the results they get from the technology.

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