Abstract
In this chapter, we analyse a data set consisting of signs of badger (Meles meles; see Fig. 22.1) activity around farms. The data are longitudinal and from multiple farms; so it is likely a temporal correlation structure is required. The response variable is binary; the presence or absence of badger activity. The dataset comes from a survey carried out on 36 farms over 8 consecutive seasons running from autumn 2003 to summer 2005. For analytical convenience, we consider these intervals to be exactly equal, which is a close enough approximation to the reality. All farms in the survey were in South-West England, which is a high-density badger country.
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Walker, N., Zuur, A., Ward, A., Saveliev, A., Ieno, E., Smith, G. (2009). A Comparison of GLM, GEE, and GLMM Applied to Badger Activity Data. In: Mixed effects models and extensions in ecology with R. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/978-0-387-87458-6_22
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DOI: https://doi.org/10.1007/978-0-387-87458-6_22
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