Uncovering Success Patterns with Machine Learning
Buch, Englisch, 334 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 658 g
ISBN: 978-0-19-750221-1
Verlag: OXFORD UNIV PR
What can be done to ensure natural resources aren't exploited? Is it possible to determine how to sustainably manage them? What makes some systems successful? In Sustainable Governance of Natural Resources, Ulrich Frey delves deep into unanswered questions like these about resource management. The book explains the current state of biological cooperation mechanisms, case studies in the field, findings from economic-behavioral experiments, common-pool resource dilemmas, and how these are all relevant to these questions surrounding the best way to sustainably manage natural resources.
There are many case studies within the field of social-ecological systems, but there are few large-N studies conducted in a methodologically rigorous manner. Frey does just this and takes readers step-by-step through the preparation of datasets like the CPR, NIIS, and IFRI. He also grounds his research through the development of an indicator system which operationalizes 24 individually-synthesized success factors that influence the management of natural resources. The book reveals the practical and operational uses of measuring ecological success in this way, showcasing various statistical and machine learning methods to develop highly predictive, robust, and empirically-sound models. Three different methods, multivariate linear regressions, random forests, and artificial neural networks are compared to achieve robust results.
The book sheds new light on factors that have previously been investigated, allowing readers to build off of Frey's system and use his methods to determine whether or not their way of managing natural resources will yield ecological success in practice.
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Fachgebiete
Weitere Infos & Material
- Acknowledgments
- Chapter 1: Introduction
- 1.1 The high importance of natural resources
- 1.2 Research question and goals
- Chapter 2: State of Research
- 2.1 What are fundamental biological mechanisms of cooperation?
- 2.2 What drives cooperation in laboratory experiments?
- 2.3 Common-pool resources
- 2.4 A primer on social-ecological systems
- 2.5 Potential success factors for sustainable management of social-ecological systems
- Chapter 3: Data
- 3.1 Common-pool resource database
- 3.2 Nepal irrigation institution study database
- 3.3 International forestry resources and institutions database
- 3.4 Comparability of databases
- 3.5 Data preparation
- Chapter 4: Methods
- 4.1 Introducing the three statistical methods used
- 4.2 Operationalizing the success factors via a new indicator system
- Chapter 5: Results and Discussion
- 5.1 Synthesis of success factors
- 5.2 Results for the common-pool resource data
- 5.3 Results for the Nepal irrigation institution study data
- 5.4 Results for the international forestry resources and institutions data
- 5.5 Results for a combined full model
- 5.6 Robustness and sensitivity analyses
- Chapter 6: Discussion and Conclusion
- 6.1 Final assessment
- 6.2 New findings
- 6.3 Summary
- 6.4 Outlook
- Chapter 7: Appendix
- References
- Index
