Spatially correlated Poisson sampling |
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Authors: | Anton Grafström |
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Institution: | Department of Forest Resource Management, Swedish University of Agricultural Sciences, SE-90183 Umeå, Sweden |
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Abstract: | A new method for sampling from a finite population that is spread in one, two or more dimensions is presented. Weights are used to create strong negative correlations between the inclusion indicators of nearby units. The method can be used to produce unequal probability samples that are well spread over the population in every dimension, without any spatial stratification. Since the method is very general there are numerous possible applications, especially in sampling of natural resources where spatially balanced sampling has proven to be efficient. Two examples show that the method gives better estimates than other commonly used designs. |
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Keywords: | Correlated poisson sampling Generalized Random-Tessellation Stratified design Negative correlation Spatial sampling Spatially balanced sampling Unequal probability sampling |
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