Adaptive cluster sampling is a probabilistic design tailored to populations that exhibit rare or spatially clustered features, such as endangered species, epidemic cases or hidden cultural artefacts.

Capture–recapture methods estimate the size of a population by repeatedly sampling individuals, marking or identifying them, and examining the overlap among capture occasions. Originally developed in ...