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Allometric scaling to predict distribution volume from studies in three animal species rat, dog, and monkey has been found to be reasonably satisfactory.
In addition to explaining errors, the model has helped us to predict distribution of error probabilities with respect to the distance between keys.
Adsorption isotherms provide information on the sorption of an adsorbate for a given adsorbent and predict distribution of the adsorbate between the surface and solution (Rebitanim et al. 2012).
Models that predict distribution are now widely used to understand the patterns and processes of plant and animal occurrence as well as to guide conservation and management of rare or threatened species.
Focusing on Byrsonima subterranea, a rare plant of the cerrado biome in Brazil, considered probably extinct in the state of São Paulo, we used a combination of a simple environmental matching approach to locate extant populations in the state, and then a more complex ecological niche modeling approach to predict distribution of the species over a broader area.
As a consequence, organism size may not predict distribution patterns well.
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Probabilistic methods have been applied in computational models to predict distributions of performance given uncertain or variable parameters.
First, however, comments are in order concerning the empirical adequacy of evolutionary game theory to explain and predict distributions of strategic dispositions in populations of agents.
Use of such datasets to predict distributions of species that experience ground surface microclimate could produce misleading results and misinform management strategies.
No method has been used both to detect interactions and subsequently to predict distributions.
We therefore also performed an ensemble prediction, namely the agreement regarding the predicted distribution between the five final models.
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