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A resource selection function (RSF) yields a prediction that is proportional to the probability of use of a resource unit by an organism. Because many apparently adequate models fail in new areas or time periods we developed a method for model selection and evaluation based on the model’s ability to predict generally, spatially, and temporally. This work is an extension of previous work using k-fold...
A resource selection function (RSF) is any model that yields values proportional to the probability of use of a resource unit. RSF models often are fitted using generalized linear models (GLMs) although a variety of statistical models might be used. Information criteria such as the Akaike Information Criteria (AIC) or Bayesian Information Criteria (BIC) are tools that can be useful for selecting a...
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