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Activity Number: 522 - Contributed Poster Presentations: Biometrics Section
Type: Contributed
Date/Time: Wednesday, July 31, 2019 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract #304648
Title: Spatially Balanced Sampling using the Halton Sequence
Author(s): Blair Robertson* and Trent McDonald and Jennifer Brown and Chris Price
Companies: University of Canterbury and Western EcoSystems Technology Inc and University of Canterbury and University of Canterbury
Keywords: Balanced acceptance sampling (BAS); Environmental Sampling; Halton iterative partitioning (HIP); over-sampling; SDraw

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.

Authors who are presenting talks have a * after their name.

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