Variance estimation for spatially balanced samples of environmental resources

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Doubly balanced spatial sampling with spreading and restitution of auxiliary totals (2013, methodology): “The most usual methods are systematic sampling, spatial stratification Generalized Random-Tessellation Stratifie (GRTS) sampling (see among others Ripley, 1981; Thompson, 1992; Stevens and Olsen, 2003, 2004; Mandallaz, 2008; Marker and Stevens, 2009).”
Inhibitory geostatistical designs for spatial prediction taking account of uncertain covariance structure (2016, methodology): “A GRTS design is formulated using a restricted randomisation, referred to as hierarchical randomisation (HR), which randomly orders the spatial addresses (Stevens and Olsen, 2003).”
Why Well Spread Probability Samples Are Balanced (2013, background): “Variance estimators for the HT-estimator under well spread samples was suggested in the papers [11,12].”
How to Select Representative Samples (2014, background): “Stevens & Olsen (2003, 2004) introduced a design called generalized random-tessellation stratified for spatially balanced sampling in two dimensions.”