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.

Does the project come with funding

No

Final date for receiving applications

Ongoing

Keywords

Sampling; applied statistics; environmental monitoring