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Keywords:
stochastic spatial process; second order stationarity; kriging; prediction
stochastic spatial process; second order stationarity; kriging; prediction
Summary:
This paper describes a modification of the kriging method for working with the square root transformation of a spatial random process. We have developed this method for the situation where the spatial process observed is not supposed to be stationary but the assumption is that its square root is a second order stationary spatial random process. Consequently this method is developed for estimating the integral of the process observed and finally some application of the method is given to data from an environmental radioactivity survey.
References:
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