Introduction to environmental modelling:
Gespeichert in:
Hauptverfasser: | , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Oxford
Oxford Univ. Press
2007
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Schlagworte: | |
Online-Zugang: | Table of contents only Contributor biographical information Publisher description Inhaltsverzeichnis |
Beschreibung: | Includes bibliographical references and index |
Beschreibung: | IX, 180 S. Ill., graph. Darst. 25 cm |
ISBN: | 9780199272068 0199272069 |
Internformat
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100 | 1 | |a Smith, Jo |e Verfasser |4 aut | |
245 | 1 | 0 | |a Introduction to environmental modelling |c Jo Smith and Pete Smith |
246 | 1 | 3 | |a Environmental modelling |
264 | 1 | |a Oxford |b Oxford Univ. Press |c 2007 | |
300 | |a IX, 180 S. |b Ill., graph. Darst. |c 25 cm | ||
336 | |b txt |2 rdacontent | ||
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650 | 4 | |a Mathematisches Modell | |
650 | 4 | |a Environmental sciences |x Mathematical models | |
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Datensatz im Suchindex
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---|---|
adam_text | CONTENTS
PRffACE viii
ACKNOWLEDGEMENTS x
1 Introduction 1
1.1 What if there was life on Mars? 1
1.2 What is a mode! ? 2
1.3 Why use models? 4
1A Which model should I use7 8
1.4. ! Determining what type of model to use 9
1.4.2 Determining what type of mathematics to use in the model 15
1.5 Choosing an existing model 20
1.6 How is a model made? 21
Summary 23
Problems 24
2 How to develop a model 26
2.1 Choose the type of model 27
2.1.1 Why am I doing this? 27
2.17 How should I do this? 27
2.1.3 The principle of parsimony 29
2.1.4 What do I do now? 30
2.2 Draw up a conceptual model 31
2.2.1 Draw a picture 32
2.2.2 List all hypotheses 33
2.2.3 List all assumptions 33
2.2.4 Set the boundary conditions 33
2.3 Attach a mathematical model 35
2.3.1 The parts of a mathematical model 36
2.3.2 Linking together fixed parameters and input variables 36
2.3.3 Choosing the mathematical approach to derive the model 38
2.3.4 Example 40
2.4 Construct a computer model 45
2.4.1 General spreadsheets 46
2.4.2 Specialist modelling software 52
2.4.3 High-level programming languages 55
2.5 And then...? 61
Summary 62
Problems 63
Further reading 65
Vi CONTENTS
References 67
Web links 67
How to evaluate a model 69
3.1 Decide what type of evaluation is needed 70
3.2 Plot the results (graphical analysis) 71
3.2.1 Plots to reveal the accuracy of the simulation 72
3.2.2 Plots to illustrate the behaviour of the model components 76
3.2.3 Plots to establish the important model components 78
3.3 Calculate the accuracy of the simulation (quantitative analysis) 81
3.3.1 Analysis of coincidence 84
3.3.2 Analysis of association 94
3.3.3 An example of the use of statistics to assess the accuracy of a model: the model of soil
carbon change on Mars 98
3.4 Examine the behaviour of the model (sensitivity analysis) 106
3.4.1 What is sensitivity analysis and why is it important? 106
3.4.2 Methods used in sensitivity analysis 107
3.4.3 Expressing sensitivity 107
3.5 Determine the importance of the model components (uncertainty analysis) 109
3.5.1 What is uncertainty analysis and why is it important? 109
3.5.2 Methods used in uncertainty analysis 110
3.5.3 Representing variation in the input parameters and model outputs 110
3.5.4 Expressing uncertainty 111
3.6 And then...? 113
Summary 114
Problems 115
Further reading 7
References 117
Web links 118
How to apply a model 119
4.1 Scientific representation 22
4.1.1 Who is the end-user? 23
4.1.2 How is the model used? 24
4.1.3 Guard against input error 26
4.1.4 Guard against misinterpretation of the results 26
4.1.5 Documentation 2
4.2 Expert and decision support systems 28
4.2.1 Who is the end-user? 29
4.2.2 How is the model used? ^0
4.2.3 Guard against input error ^0
4.2.4 Guard against misinterpretation of the results 32
4.2.5 Documentation 32
4.3 Risk assessment 134
4.3.1 Who is the end-user? 135
4.3.2 How is the model used? 136
CONTENTS VÜ
4.3.3 Guard against input error 137
4.3.4 Guard against misinterpretation of the results 137
4.3.5 Documentation 138
4.4 Spatially-explicit applications 139
4.4.1 Who is the end-user? 139
4.4.2 How is the model used? 140
4.4.3 Guard against input error Î43
4.4.4 Guard against misinterpretation of the results 144
4.4.5 Documentation 144
4.5 Epilogue 146
4.5.1 How has life on Mars been improved? 146
4.5.2 The real-Earth applications of the models used in this book 147
4.6 So is this the end? 150
Summary 152
Problems 156
Further reading 157
References 157
Web links 158
Appendix 1 Solutions to problems
1.1 Solutions to problems in Chapter 1 159
1.2 Solutions to problems in Chapter 2 160
1.3 Solutions to problems in Chapter 3 167
1.4 Solutions to problems in Chapter 4 172
Glossary 176
INDEX 179
|
adam_txt |
CONTENTS
PRffACE viii
ACKNOWLEDGEMENTS x
1 Introduction 1
1.1 What if there was life on Mars? 1
1.2 What is a mode! ? 2
1.3 Why use models? 4
1A Which model should I use7 8
1.4. ! Determining what type of model to use 9
1.4.2 Determining what type of mathematics to use in the model 15
1.5 Choosing an existing model 20
1.6 How is a model made? 21
Summary 23
Problems 24
2 How to develop a model 26
2.1 Choose the type of model 27
2.1.1 Why am I doing this? 27
2.17 How should I do this? 27
2.1.3 The principle of parsimony 29
2.1.4 What do I do now? 30
2.2 Draw up a conceptual model 31
2.2.1 Draw a picture 32
2.2.2 List all hypotheses 33
2.2.3 List all assumptions 33
2.2.4 Set the boundary conditions 33
2.3 Attach a mathematical model 35
2.3.1 The parts of a mathematical model 36
2.3.2 Linking together fixed parameters and input variables 36
2.3.3 Choosing the mathematical approach to derive the model 38
2.3.4 Example 40
2.4 Construct a computer model 45
2.4.1 General spreadsheets 46
2.4.2 Specialist modelling software 52
2.4.3 High-level programming languages 55
2.5 And then.? 61
Summary 62
Problems 63
Further reading 65
Vi CONTENTS
References 67
Web links 67
How to evaluate a model 69
3.1 Decide what type of evaluation is needed 70
3.2 Plot the results (graphical analysis) 71
3.2.1 Plots to reveal the accuracy of the simulation 72
3.2.2 Plots to illustrate the behaviour of the model components 76
3.2.3 Plots to establish the important model components 78
3.3 Calculate the accuracy of the simulation (quantitative analysis) 81
3.3.1 Analysis of coincidence 84
3.3.2 Analysis of association 94
3.3.3 An example of the use of statistics to assess the accuracy of a model: the model of soil
carbon change on Mars 98
3.4 Examine the behaviour of the model (sensitivity analysis) 106
3.4.1 What is sensitivity analysis and why is it important? 106
3.4.2 Methods used in sensitivity analysis 107
3.4.3 Expressing sensitivity 107
3.5 Determine the importance of the model components (uncertainty analysis) 109
3.5.1 What is uncertainty analysis and why is it important? 109
3.5.2 Methods used in uncertainty analysis 110
3.5.3 Representing variation in the input parameters and model outputs 110
3.5.4 Expressing uncertainty 111
3.6 And then.? 113
Summary 114
Problems 115
Further reading "7
References 117
Web links 118
How to apply a model 119
4.1 Scientific representation '22
4.1.1 Who is the end-user? '23
4.1.2 How is the model used? ' 24
4.1.3 Guard against input error ' 26
4.1.4 Guard against misinterpretation of the results ' 26
4.1.5 Documentation '2'
4.2 Expert and decision support systems '28
4.2.1 Who is the end-user? '29
4.2.2 How is the model used? ^0
4.2.3 Guard against input error ^0
4.2.4 Guard against misinterpretation of the results ' 32
4.2.5 Documentation '32
4.3 Risk assessment 134
4.3.1 Who is the end-user? 135
4.3.2 How is the model used? 136
CONTENTS VÜ
4.3.3 Guard against input error 137
4.3.4 Guard against misinterpretation of the results 137
4.3.5 Documentation 138
4.4 Spatially-explicit applications 139
4.4.1 Who is the end-user? 139
4.4.2 How is the model used? 140
4.4.3 Guard against input error Î43
4.4.4 Guard against misinterpretation of the results 144
4.4.5 Documentation 144
4.5 Epilogue 146
4.5.1 How has life on Mars been improved? 146
4.5.2 The real-Earth applications of the models used in this book 147
4.6 So is this the end? 150
Summary 152
Problems 156
Further reading 157
References 157
Web links 158
Appendix 1 Solutions to problems
1.1 Solutions to problems in Chapter 1 159
1.2 Solutions to problems in Chapter 2 160
1.3 Solutions to problems in Chapter 3 167
1.4 Solutions to problems in Chapter 4 172
Glossary 176
INDEX 179 |
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discipline | Biologie Umwelt Geographie |
discipline_str_mv | Biologie Umwelt Geographie |
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spelling | Smith, Jo Verfasser aut Introduction to environmental modelling Jo Smith and Pete Smith Environmental modelling Oxford Oxford Univ. Press 2007 IX, 180 S. Ill., graph. Darst. 25 cm txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references and index Mathematisches Modell Environmental sciences Mathematical models Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Ökologie (DE-588)4043207-5 gnd rswk-swf Umweltwissenschaften (DE-588)4137364-9 gnd rswk-swf Modellierung (DE-588)4170297-9 gnd rswk-swf (DE-588)4123623-3 Lehrbuch gnd-content Umweltwissenschaften (DE-588)4137364-9 s Mathematisches Modell (DE-588)4114528-8 s DE-604 Ökologie (DE-588)4043207-5 s Modellierung (DE-588)4170297-9 s Smith, Pete Verfasser aut http://www.loc.gov/catdir/toc/fy0710/2007296741.html Table of contents only http://www.loc.gov/catdir/enhancements/fy0724/2007296741-b.html Contributor biographical information http://www.loc.gov/catdir/enhancements/fy0724/2007296741-d.html Publisher description HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016445558&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Smith, Jo Smith, Pete Introduction to environmental modelling Mathematisches Modell Environmental sciences Mathematical models Mathematisches Modell (DE-588)4114528-8 gnd Ökologie (DE-588)4043207-5 gnd Umweltwissenschaften (DE-588)4137364-9 gnd Modellierung (DE-588)4170297-9 gnd |
subject_GND | (DE-588)4114528-8 (DE-588)4043207-5 (DE-588)4137364-9 (DE-588)4170297-9 (DE-588)4123623-3 |
title | Introduction to environmental modelling |
title_alt | Environmental modelling |
title_auth | Introduction to environmental modelling |
title_exact_search | Introduction to environmental modelling |
title_exact_search_txtP | Introduction to environmental modelling |
title_full | Introduction to environmental modelling Jo Smith and Pete Smith |
title_fullStr | Introduction to environmental modelling Jo Smith and Pete Smith |
title_full_unstemmed | Introduction to environmental modelling Jo Smith and Pete Smith |
title_short | Introduction to environmental modelling |
title_sort | introduction to environmental modelling |
topic | Mathematisches Modell Environmental sciences Mathematical models Mathematisches Modell (DE-588)4114528-8 gnd Ökologie (DE-588)4043207-5 gnd Umweltwissenschaften (DE-588)4137364-9 gnd Modellierung (DE-588)4170297-9 gnd |
topic_facet | Mathematisches Modell Environmental sciences Mathematical models Ökologie Umweltwissenschaften Modellierung Lehrbuch |
url | http://www.loc.gov/catdir/toc/fy0710/2007296741.html http://www.loc.gov/catdir/enhancements/fy0724/2007296741-b.html http://www.loc.gov/catdir/enhancements/fy0724/2007296741-d.html http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016445558&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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