This paper presents a model-based approach to the problem of the optimal choice of a spatial sampling design in the presence of uncertainty about the distribution of the observations. Our approach, which is based on the polar spectral decomposition of stationary isotropic random fields, makes it possible to represent the spatial error process by a linear regression model with (infinitely many) ...

There are some experiences that researcher come across quite number of time for very large networks in the initial samples such that they cannot finish the sampling procedure. Two solutions have been proposed and used by marine biologists which we discuss in this article: i) Adaptive cluster sampling based on order statistics with a stopping rule, ii) Restricted adaptive cluster sampling. Until...