Over the past decade environmental modelling (EM) has become increasingly seen to be significant, and is now seen as an important application of GIS. Both public and private sectors are now concerned about the environment, and widely recognise the need to assess and prevent against potential impacts
GIS Environmental Modelling and Engineering
โ Scribed by Allan Brimicombe
- Publisher
- CRC Press
- Year
- 2003
- Tongue
- English
- Leaves
- 314
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Spatial dimensions need to be properly captured if modelling 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 modelling, and engineering offer tremendous possibilities for building versatile support systems for managing the environment. GIS, Environmental Modelling 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 modelling 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 modelling 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.
โฆ Table of Contents
GIS, Environmental Modelling and Engineering - Allan Brimicombe......Page 3
Contents......Page 5
Acknowledgements......Page 6
Statement on trade names andtrademarks......Page 7
1 Introduction......Page 8
2 From GIS to geocomputation......Page 14
3 The rise of geo-information science and engineering......Page 47
4 Approaches to modelling......Page 59
5 The role and nature of environmental models......Page 84
6 Case studies in GIS, environmentalmodelling and engineering......Page 135
7 Issues of coupling the technologies......Page 170
8 Data and information quality issues......Page 195
9 Modelling issues......Page 245
10 Decision-making under uncertainty......Page 276
References......Page 291
Acronyms......Page 313
๐ SIMILAR VOLUMES
Spatial dimensions need to be properly captured if modelling 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 modelling, and engineering offer tremendous pos
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 possi
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 possi
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 possi
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 possi