Spatially Balanced Sampling of Natural Resources

Host Faculty: Engineering
General Subject Area: Statistics and Data Science
Project Level: PhD
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A spatial sampling design determines where sample locations are placed in a study area. The main objective is to select sample locations in such a way that valid scientific inferences can be made to all regions of the study area. When sampling natural resources, nearby locations tend to be more similar than distant ones because they interact with one another and are influenced by the same set of factors. Hence, an effective sampling strategy is to spread the sample locations evenly over the resource, called spatially balanced sampling. This project considers using quasi-random number sequences, auxiliary information and ranking techniques, to draw spatially balanced samples from natural resources.


Supervisor: Blair Robertson

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Sampling; applied statistics; environmental monitoring