In the final section, we discuss next modelling iterations and possible extensions of the approach.
These results offer great promise for modelling and projecting possible changes in foraging behaviour and distribution related to environmental factors.
The advantages and disadvantages of the general methods used in the modelling phase are discussed, and possible reasons for the failure to demonstrate a larger effect in this particular case are outlined.
For modelling and model fitting, standard software was used.
The possible confusion between modelling and discretization errors is however avoided since these two effects are identical in the present formalism.
This paper tests the use of a spatial analysis technique, based on the calculation of local spatial autocorrelation, as a possible approach for modelling and quantifying structure in northern Australian savanna landscapes.
In step 1, the nonparametric approach, basic characteristics are revealed with as few modelling restrictions as possible and form the basis for robust decisions and further analyses.
The predictive modelling framework developed is comprised of material and energy balances, constraint parameters, constitutive equations, design/optimization variables and possible polymer synthesis techniques.
The results are validated by comparison with a standard modelling approach, when possible, and with experiments developed on specific laboratory set-ups for frequencies up to 2 kHz.
