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The significance of modeling in managing the environment is well recognized from scientific and engineering perspectives as well as in the political arena. Environmental concerns and issues of sustainability have permeated both public and private sectors, particularly the need to predict, assess and mitigate against adverse impacts that arise from continuing development and use of resources.
Students need to be made aware of these issues. Practitioners should enrich their knowledge and skills in these areas. This book focuses on the modeling, rather than on data collection or visualization.
List of contents
GIS, Environmental Modeling and Engineering focuses on the modeling, rather than on data collection or visualization and aims to develop critical users of both GIS and environmental models. It discusses a number of issues such as: the need for environmental models to consider space-time processes often in three-dimensions; the degree of integration between GIS and environmental models on any project; uncertainty in spatial data from GIS and the choices of parameterization that combine and propagate through analyses to affect outputs; the means decisions can be made with uncertain information. This book should enrich the knowledge and skills for students and practitioners.
Contents
1. Introduction.
Section A.
2. From GIS to Geocomputation
3. The Rise of Geo-Information Science and Engineering.
Section B.
4. Approaches to Modeling
5. The Role and Nature of Environmental Models.
Section C.
6. Case Studies of GIS, Environmental Modeling and Engineering
7. Issues of Coupling the Technologies
8. Data and Information Quality Issues
9. Modeling Issues
10. Decision-Making Under Uncertainty.
References.
Index.
About the author
Professor Allan Brimicombe is Head of the Centre for Geo-Information Studies at the University of East London. Prior to this he was the founding Head of the Department of Land Surveying and Geo-Informatics at the Hong Kong Polytechnic University which in turn was preceded by a successful international career in consulting engineering.
Summary
The significance of modelling in managing the environment is well recognised from scientific and engineering perspectives and in the political arena. Students should be aware of these issues and practitioners should enrich their knowledge and skills in these areas. This text focuses on the modelling, rather than on data collection or visualization.
