Spatial designs and properties of spatial correlation: Effects on covariance estimation

51 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Design of computer experiments: space filling and beyond (2011, unknown): “…weighing factor α , Some theoretical results for special situations showing that α → 1 leads to space-ﬁlling have been recently given in (Kiseˇl´ak and Stehl´ık, 2008), (Zagoraiou and Antognini, 2009) and (Dette et al, 2008); Irvine et al (2007) motivate the use of designs with clusters of points.”
Prediction of spatial soil property information from ancillary sensor data using ordinary linear regression: Model derivations, residual assumptions and model validation tests (2008, background): “In such situations it is generally necessary to collect a fairly large amount of sample data in order to reasonably estimate the parameters associated with the covariance structure when even the simplest isotropic covariance functions are employed (Irvine et al., 2007).”