Learn how representative samples and random samples differ and why combining them minimizes sampling bias for accurate data.

Sampling allows archaeologists to draw conclusions about a site or region using only a fraction of the area. Because excavation is destructive and funding is limited, leaving parts unexcavated can be ...

The major assumption behind traditional parametric procedures--more fundamental than normality and homogeneity of variance--is the assumption that we have randomly sampled from some population ...

One of the most widely confirmed empirical patterns in ecology is Taylor’s law (TL): The variance of population density is approximately a power-law function of the mean population density. We showed ...

This code implements sequential and parallel methods for weighted random sampling, as described in our eponymous paper: Hübschle-Schneider, L., & Sanders, P. (2019). Parallel Weighted Random Sampling.

Revealing the mechanisms governing the complex community assembly over space and time is a central issue in ecology. Null models have been developed to quantitatively disentangle the relative ...

Reservoir sampling is a family of randomized algorithms for randomly choosing a sample of k items from a list S containing n items, where n is either a very large or unknown number. Typically n is ...