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        <description>Geostatistical models are used for the analysis of geographic data consisting of measurements of a continuous, real-valued variable taken at various locations in two-dimensional space. Geostatistical modeling involves estimation of spatial dependencies and prediction of values at un-measured locations. Bayesian geostatistical modeling provides realistic estimation of prediction error, as well as other advantages, including the ability to combine information from disparate sources. However, Bayes…</description>
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