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Under the finite population design-based framework, spatial information regarding individuals of a population has traditionally been used for developing efficient sampling designs rather than for estimation or prediction. We propose to enhance design-based individual prediction by exploiting the spatial information derived from geography, which is a population characteristic available for each element before sampling. Individual predictors are obtained by reinterpreting deterministicfatcat:hy4fbavkbnh5jds4tyxtnctq6e