Habitat suitability and distribution models : with applications in R - Guisan, A. (Antoine); Thuiller, Wilfried, 1975-; Zimmermann, Niklaus E.; Cambridge University Press (Cambridge, United Kingdom ; New York, NY, USA : Cambridge University Press, 2017)
1. General content of this book -- 2. Overview of the habitat suitability modeling procedure -- 3. What drives species distributions? -- 4. From niche to distribution : basic modeling principles and applications -- 5. Assumptions behind habitat suitability models -- 6. Environmental predictors : issues of processing and selection -- 7. Species data : issues of acquisition and design -- 8. Ecological scales : issues of resolution and extent -- 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 -- 15. Measuring model accuracy : which metrics to use? -- 16. Assessing model performance : which data to use? -- 17. Projecting models in space and time -- 18. Datasets and tools used for the examples in this book -- 19. The Biomod2 modeling package examples -- 20. Conclusions and future perspectives in habitat suitability modeling.
Includes bibliographical references (pages [417]-457) and index.
Keywords: Habitat suitability index models; R (Computer program language)