Adaptive Cluster Sampling
Adaptive Cluster Sampling is a spatial sampling method in which the selection of additional sampling units is conditioned on the values observed at previously sampled locations, thereby allowing the sampling design to adaptively expand into clusters of units that meet a predefined criterion of interest.
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116
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69
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2017–2026
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Steven K. Thompson · Journal of the American Statistical Association · 1990 · 483 citations
Adaptive Cluster Sampling: Designs with Primary and Secondary Units
Steven K. Thompson · Biometrics · 1991 · 165 citations
Natural Sciences, Zoology, Mammalogy +16
Stratified adaptive cluster sampling
Steven K. Thompson · Biometrika · 1991 · 148 citations
Steven K. Thompson · Journal of the American Statistical Association · 1990 · 100 citations
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National Institute of Development Administration, Thailand
5 publications · 133 citations
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University of Auckland
Auckland, New Zealand
7 h-index
7 publications
859 citations

Pennsylvania State University
State College, United States
6 h-index
8 publications
293 citations
National Institute of Development Administration
Bangkok, Thailand
4 h-index
4 publications
105 citations
Canadian Forest Service
Ottawa, Canada
3 h-index
6 publications
129 citations
Mahasarakham University
Maha Sarakham, Thailand
3 h-index
5 publications
75 citations

University of Canterbury
Christchurch, New Zealand
3 h-index
3 publications
71 citations
Natural Resources Canada
Ottawa, Canada
3 h-index
6 publications
129 citations

University of Alaska Fairbanks
Fairbanks, United States
3 h-index
3 publications
620 citations
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7 publications · 581 citations
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5 publications · 202 citations
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