Adaptive and unequal probability survey designs for environmental management
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.
Subjectsadaptive cluster sampling
Showing items related by title, author, creator and subject.
Brown, J.A.; Salehi, M.M.; Panahbehagh, B.; Moradi, M. (University of Canterbury. Mathematics and Statistics, 2011)
van Dam-Bates P; Gansell O; Robertson BL (2018)Well-designed environmental monitoring programmes for management organisations are important for evidence-based decision making. However, many environmental problems are not single agency issues that require intervention ...
Taylor, M.L.; Cubrinovski, M.; Bradley, B.A. (University of Canterbury. Civil and Natural Resources Engineering, 2013)Novel Gel-push sampling was employed to obtain high quality samples of Christchurch sands from the Central Business District, at sites where liquefaction was observed in 22 February 2011, and 13 June 2011 earthquakes. The ...