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      Biogeography, vicariance and conservation of snakes of the neglected and endangered Caatinga region, north-eastern Brazil

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      Journal of Biogeography
      Wiley

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          The arcsine is asinine: the analysis of proportions in ecology

          The arcsine square root transformation has long been standard procedure when analyzing proportional data in ecology, with applications in data sets containing binomial and non-binomial response variables. Here, we argue that the arcsine transform should not be used in either circumstance. For binomial data, logistic regression has greater interpretability and higher power than analyses of transformed data. However, it is important to check the data for additional unexplained variation, i.e., overdispersion, and to account for it via the inclusion of random effects in the model if found. For non-binomial data, the arcsine transform is undesirable on the grounds of interpretability, and because it can produce nonsensical predictions. The logit transformation is proposed as an alternative approach to address these issues. Examples are presented in both cases to illustrate these advantages, comparing various methods of analyzing proportions including untransformed, arcsine- and logit-transformed linear models and logistic regression (with or without random effects). Simulations demonstrate that logistic regression usually provides a gain in power over other methods.
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            Conservation Biogeography: assessment and prospect

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              Historical Biogeography and Patterns of Differentiation within the South American Avifauna: Areas of Endemism

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                Author and article information

                Journal
                Journal of Biogeography
                J. Biogeogr.
                Wiley
                03050270
                May 2014
                May 29 2014
                : 41
                : 5
                : 919-931
                Article
                10.1111/jbi.12272
                c5078f49-deb6-45ad-843b-9db56ffa34b2
                © 2014

                http://doi.wiley.com/10.1002/tdm_license_1.1

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