Spatially Balanced Sampling using the Halton Sequence (2019)
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. A sample that is well-spread over the study area is called a spatially balanced sample. Spatially balanced sampling designs are known to be efficient when surveying natural resources because nearby locations tend to be similar. This paper shows how the Halton sequence can be used to draw spatially balanced samples from environmental resources.
CitationRobertson B, Brown J, McDonald T, Price C (2019). Spatially Balanced Sampling using the Halton Sequence. Denver, Colorado, United States: Joint Statistical Meetings. 27/07/2019-01/08/2019. 2019 JSM Proceedings. 647-652.
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KeywordsBalanced acceptance sampling (BAS); Halton iterative partitioning (HIP); over-sampling; SDrawental sampling; Halton iterative partitioning (HIP); over-sampling; SDraw
ANZSRC Fields of Research49 - Mathematical sciences::4905 - Statistics::490507 - Spatial statistics
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