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This book describes both classical and Bayesian methods of inference, analyzes a variety of data, including long-term data sets, and demonstrate how widely methods may be applied. They outline a range of sampling schemes, varying by taxa and environment, and describe pitfalls to be avoided in the design of sampling procedures and in data analysis. Models may be spatial and/or temporal, and often include co ... Täielik kirjeldus
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Kirjeldus
This book describes both classical and Bayesian methods of inference, analyzes a variety of data, including long-term data sets, and demonstrate how widely methods may be applied. They outline a range of sampling schemes, varying by taxa and environment, and describe pitfalls to be avoided in the design of sampling procedures and in data analysis.
Models may be spatial and/or temporal, and often include covariates such as measures of habitat, temperature and rainfall. Covariate selection for given problems is discussed. Other topics include the construction of individual species spatial maps, how they change over time, models for unmarked and marked/identifiable individuals, integrated analysis, and how methods can be used to estimate biodiversity. In addition, the book reviews emerging new technologies; for instance, remote sensing and the use of drones, which result in opportunities for new methods of analysis.
This book is a source of reference for postgraduates and research scientists in statistics and ecology. It may be used for graduate-level teaching, as well as a research reference. It critically and comprehensively presents the most up-to-date statistical modeling work in the area, recommending statistical methods. There is an extensive bibliography and multiple links to computer programs written in R, BUGS and other languages, as well as relevant computer packages; computing material may be accessed via download from the book website.
Lisateave
| Autor | Byron J. T. Morgan, Stephen T. Buckland, Emily B. Dennis |
|---|---|
| Kirjastaja | Springer-Verlag GmbH |
| Väljalaskeaasta | 2026 |
| Kaanetüüp | Kõvakaaneline |
| EAN | 9783032061829 |