378 pages | 140 B/W Illus.
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.
This well-written, second edition is a significant and needed contribution to the understanding of the increasing interaction between geospatial disciplines and tools - i.e., GIS, and their use in conjunction with environmental and engineering models for problem solving. The exposition is clear, lively, and scholarly, revealing an adequate use of a colloquial tone while keeping commentary brief and to the point with few linguistic variants and regional terms used. For the most part, figures are well designed, clearly printed, with their elements discernible, and the book abounds in helpful diagrams and illustrations for both conceptualization and example.
This book provides a guiding paradigm for the study of the current possibilities for mutual synergy between geospatial contextualization and the mathematical and algorithmic formulations of model/simulation inputs and outputs. This volume would undoubtedly enrich the libraries of those professionals who are seeking a deeper understanding of how to better integrate environmental and engineering modeling - both with and from within a GIS, constituting a valuable resource for research projects and course materials.
—Demetrio P. Zourarakis, PhD, GISp, CMS-RS, eMS-GIS/LIS, Remote Sensing/GIS Analyst, in Photogrammetric Engineering & Remote Sensing, January 2011
Praise for the Previous Edition:
Brimicombe’s rich experience clearly shows … the book is a useful guide to the core information about the workings of environmental models and their development."
-Muki Haklay, University College London, in Environment and Planning B, 2005
Metaphors of Nature
A Solution Space?
Scope and Plan of This Book
FROM GIS TO GEOCOMPUTATION
In The Beginning…
Representing Spatial Phenomena in GIS
Putting the Real World on a Diskette
Basic Functionality of GIS
A Systems Definition of GIS
Limitations of GIS and the Rise of Geocomputation
THE RISE OF GEO-INFORMATION SCIENCE AND ENGINEERING
Science to Follow…
And Now…Geo-Information Engineering
APPROACHES TO MODELLING
A Model of an X
Typology of Models
A Summary of Model Development
THE ROLE AND NATURE OF ENVIRONMENTAL MODELS
The Context of Environmental Modelling
The Decision Environment
Models Incorporating Artificial Intelligence
CASE STUDIES IN GIS, ENVIRONMENTAL MODELLING AND ENGINEERING
Modelling Approaches in GIS and Environmental Modelling
ISSUES OF COUPLING THE TECHNOLOGIES
An Over-Simplification of the Issues
Maturing Typology of Integration
DATA AND INFORMATION QUALITY ISSUES
The Issue is…Uncertainty
Finding a Way Forward
Measuring Spatial Data Quality
Modelling Error and Uncertainty in GIS
Issues of Scale
Issues of Algorithm
Issues of Model Structure
Issues of Calibration
Bring Data Issues and Modelling Issues Together
DECISION-MAKING UNDER UNCERTAINTY
Exploring the Decision Space: Spatial Decision Support Systems
Communication of Spatial Concepts
Participatory Planning and Web-Based GIS
All's Well that End's Well?