Adaptive and unequal probability survey designs for environmental management (2011)
AuthorsBrown, J.A., Salehi, M.M., Moradi, M., Panahbehagh, B., Smith, D.R.show all
Designing an efficient large-area survey is a challenge, especially in environmental science when many populations are rare and clustered. Adaptive and unequal probability sampling designs are appealing when populations are rare and clustered because survey effort can be targeted to subareas of high interest. For example, higher density subareas are usually of more interest than lower density areas. Adaptive and unequal probability sampling offer flexibility for designing a long term survey because they can accommodate changes in survey objectives, changes in underlying environmental habitat, and changes in species-habitat models.
CitationBrown, J.A., Salehi, M.M., Moradi, M., Panahbehagh, B., Smith, D.R. (2011) Adaptive and unequal probability survey designs for environmental management. Perth, Australia: International Congress on Modelling and Simulation, 12-16 Dec 2011.
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Keywordsadaptive cluster sampling; to-phase sampling; sratified sampling; aaptive two-stage sequential sampling; Complete allocation stratified sampling
ANZSRC Fields of Research01 - Mathematical Sciences::0102 - Applied Mathematics::010202 - Biological Mathematics
01 - Mathematical Sciences::0104 - Statistics::010402 - Biostatistics
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Brown, J.A.; Salehi, M.M.; Panahbehagh, B.; Moradi, M. (University of Canterbury. Mathematics and Statistics, 2011)
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