Measures for designs in experiments with correlated errors

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A comparison of spatial design methods for correlated observations (2005, methodology): “Avariant based upon design measures was, for instance, proposed in Müller and Pázman (2003). The application of the given algorithm to the example setting yields a design which is even stronger concentrated on a few spots along the regions boundary as seen in Figure 3.”
A New Approach to Optimal Design for Linear Models With Correlated Observations (2010, background): “The proofs (in a slightly different language) can be found in Näther (1985a). For the sake of completeness we provide a proof of this lemma as we shall need it for references in Section 4.”
Experimental Design for Time-Dependent Models with Correlated Observations (2004, methodology): “…of the so-called asymptotic optimality for a sequence of designs; but this can hardly be applied in the framework of the present paper when we are seeking designs for a specified n. Muller and Pázman (2003) add a second, independent, error component to the model (2.4) with correlated errors.”