MODEL-BASED STRATIFICATIONS FOR ENHANCING THE DETECTION OF RARE ECOLOGICAL EVENTS

By Thomas C. Edwards, D. R. Cutler, N. E. Zimmermann, L. Geiser, J. Alegria. 2005

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Ocean‐scale prediction of whale shark distribution (2012, background): “Niche-based models provide an alternative means for generating information about species distributions when conventional sampling methods are expensive, logistically difficult and produce unreliable results (e.g. when sampling for rare species - Edwards et al., 2005; Guisan et al., 2006).”
Effects of sample survey design on the accuracy of classification tree models in species distribution models (2006, background): “Rare ecological events may ot be truly amenable to randomization procedures per se, 9 ( 2 0 0 6 ) 132–141 133 especially when the goal is to generate sufficient observations for a classification model (see Edwards et al., 2005).”
Five (or so) challenges for species distribution modelling (2006, background): “These results contrast with those of recent studies investigating the usefulness of stratification-based models in the context sampling recording effort for niche modelling (Edwards et al., 2005; Guisan et al., 2006a).”
A strict maximum likelihood explanation of MaxEnt, and some implications for distribution modelling (2013, methodology): “A DM ideal for applied purposes should provide predictions of the probability of presence (PPP) of the modelled target, i.e., the real probability that the modelled target is present in grid cell i; yi = Pr (bi = 1| Z) (Edwards et al. 2005, Guisan et al. 2006, Edvardsen et al. 2011, Halvorsen 2012).”