These are particular concerns when modelling non-native and reintroduced species, when data have been collected within one geographical or ecological context but predictions are required for another, or when extending models to predict the consequences of environmental change (e.g., climate or land-use).
Therefore, both mean and variance predictions are required.
If binary predictions are required, class-specific cut-off thresholds can be applied.
When site-specific predictions are required, the choice often falls on deterministic models [2], e.g., ray-based techniques.
Soil predictions were required for pH, EC, clay percentage, stone content, drainage, and depth to sodic and impeding layer.
In many industries, handling or processing of relatively fragile particles takes place and predictions are required whether a significant proportion of the particles will be damaged.
For this purpose, the constitutive equation used for the blanking process modelling is a key point since accurate predictions are required.
Accurate convective heat transfer predictions are required in building engineering and environmental studies on urban heat islands, building energy performance, building-envelope durability or conservation and (natural) ventilation of buildings.
Instead, quantitative agreement and an assessment of nature of possible between-individual heterogeneity of fit to model predictions are required in order to have evidence for optimality; without both of these test components, acceptance of the hypothesis of optimality is not warranted (see above).
The CWF approach can therefore significantly improve the accuracy of forced- or mixed-convective heat transfer in large-scale building-engineering or environmental studies, which are bound to rely on wall functions, but where accurate convective heat transfer predictions are required.
