Book contents
- Habitat Suitability and Distribution ModelsWith Applications in R
- Ecology, Biodiversity and Conservation
- Habitat Suitability and Distribution Models
- Copyright page
- Contents
- Foreword
- Preface
- Acknowledgments
- Authors’ Contributions
- Introduction
- 1 General Content of the Book
- Part I Overview, Principles, Theory, and Assumptions Behind Habitat Suitability Modeling
- Part II Data Acquisition, Sampling Design, and Spatial Scales
- Part III Modeling Approaches and Model Calibration
- 9 Envelopes and Distance-Based Approaches
- 10 Regression-Based Approaches
- 11 Classification Approaches and Machine-Learning Systems
- 12 Boosting and Bagging Approaches
- 13 Maximum Entropy
- 14 Ensemble Modeling and Model Averaging
- Part IV Evaluating Models: Errors and Uncertainty
- Part V Predictions in Space and Time
- Part VI Data and Tools Used in this Book, with Developed Case Studies
- Part VII Conclusions and Future Perspectives
- Glossary and Definitions of Terms and Concepts
- References
- Index
14 - Ensemble Modeling and Model Averaging
from Part III - Modeling Approaches and Model Calibration
Published online by Cambridge University Press: 14 September 2017
Book contents
- Habitat Suitability and Distribution ModelsWith Applications in R
- Ecology, Biodiversity and Conservation
- Habitat Suitability and Distribution Models
- Copyright page
- Contents
- Foreword
- Preface
- Acknowledgments
- Authors’ Contributions
- Introduction
- 1 General Content of the Book
- Part I Overview, Principles, Theory, and Assumptions Behind Habitat Suitability Modeling
- Part II Data Acquisition, Sampling Design, and Spatial Scales
- Part III Modeling Approaches and Model Calibration
- 9 Envelopes and Distance-Based Approaches
- 10 Regression-Based Approaches
- 11 Classification Approaches and Machine-Learning Systems
- 12 Boosting and Bagging Approaches
- 13 Maximum Entropy
- 14 Ensemble Modeling and Model Averaging
- Part IV Evaluating Models: Errors and Uncertainty
- Part V Predictions in Space and Time
- Part VI Data and Tools Used in this Book, with Developed Case Studies
- Part VII Conclusions and Future Perspectives
- Glossary and Definitions of Terms and Concepts
- References
- Index
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- Habitat Suitability and Distribution ModelsWith Applications in R, pp. 224 - 236Publisher: Cambridge University PressPrint publication year: 2017