Abstract
Abstract On the one hand, spatial and adaptive sampling designs are informative since they depend on the characteristic of interest—in contrast to the classical sampling designs such as simple random sampling. On the other hand, better results can be obtained using adaptive designs for populations with special patterns. Dealing with spatial inferences, model‐based approaches are often used. The fixed‐population approach is replaced by a stochastic one. The characteristic of interest is defined for a continuous region of space and time that can be described by a spatial stochastic process.
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