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Ecological Models and Data in R
Abstract
Ecological Models and Data in R is the first truly practical introduction to modern statistical methods for ecology. In step-by-step detail, the book teaches ecology graduate students and researchers everything they need to know in order to use maximum likelihood, information-theoretic, and Bayesian techniques to analyze their own data using the programming language R. Drawing on extensive experience teaching these techniques to graduate students in ecology, Benjamin Bolker shows how to choose among and construct statistical models for data, estimate their parameters and confidence limits, and interpret the results. The book also covers statistical frameworks, the philosophy of statistical modeling, and critical mathematical functions and probability distributions. It requires no programming background--only basic calculus and statistics.
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Citations
Cited by
(2017) · doi:10.1098/rsif.2017.0213 · Cited by 2,813
SIMR : an R package for power analysis of generalized linear mixed models by simulation
Green, P., & MacLeod, C. J. (2016) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.12504 · Cited by 2,467
Model selection for ecologists: the worldviews of AIC and BIC
Aho, K., Derryberry, D., & Peterson, T. (2014) · Ecology · doi:10.1890/13-1452.1 · Cited by 1,165
A solution to minimum sample size for regressions
Jenkins, D. G., & Quintana-Ascencio, P. F. (2020) · PLOS ONE · doi:10.1371/journal.pone.0229345 · Cited by 665
A global meta-analysis on the ecological drivers of forest restoration success
Crouzeilles, R., Curran, M., Ferreira, M. S., Lindenmayer, D. B., Grelle, C. E. V., & Rey Benayas, J. M. (2016) · Nature Communications · doi:10.1038/ncomms11666 · Cited by 652
Metadata
- Authors
- Bolker, B. M.
- Venue
- Princeton University Press eBooks
- Publisher
- Princeton University Press
- Published
- 2008-07-01
- OpenAlex
- W70948400
- Cited by
- 1,411
- References
- 0
- FWCI
- 25.97
- Type
- book
- Language
- en
- Open access
- closed
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- Bolker, B. M. (2008). Ecological Models and Data in R. Princeton University Press eBooks. https://doi.org/10.1515/9781400840908
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
