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Topic

Spatially Balanced Sampling of Natural Resources

15 August 2023

Host Faculty: Engineering

General Subject Area: Statistics and Data Science

Project Level: PhD

HOW TO APPLY

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.

 
Supervisors

Supervisor: Blair Robertson

 
Does the project come with funding

No

 
Final date for receiving applications

Ongoing

 
Keywords

Sampling; applied statistics; environmental monitoring

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