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This function calculates a distance between two positions using the Bray-Curtis method. The Bray-Curtis distance is equal to the Manhattan distance divided by the sum of both vectors. To calculate, enter a series of x /y pairs (vectors).
In ecology and biology, the Bray–Curtis dissimilarity is a statistic used to quantify the dissimilarity in species composition between two different sites, based on counts at each site. It is named after J. Roger Bray and John T. Curtis who first presented it in a paper in 1957.
A distance metric that can be used to test differences among individuals or populations is that of Bray-Curtis. This distance is a transformation of Jaccard’s distance (see below) and is derived from an ecological ordination paper by Bray & Curtis (1957).
The Bray-Curtis distance measure is bounded between 0 (the sample units are identical) and 1 (the sample units are completely different), and is semimetric. The Bray-Curtis distance measure is named after the co-authors of the paper in which it was used (Bray & Curtis 1957).
In this chapter we shall consider several non-Euclidean distance measures that are popular in the environmental sciences: the Bray-Curtis dissimilarity, the L1 distance (also called the city-block or Manhattan distance) and the Jaccard index for presence-absence data.
Computes a number of similarity or distance measures between all pairs of rows. The data can be univariate or (more commonly) multivariate, with variables in columns. The results are given as a symmetric similarity/distance matrix.
13 mar 2021 · Named after J. Roger Bray and John Thomas Curtis, the Bray-Curtis Dissimilarity is a way to measure the dissimilarity between two different sites. It’s often used in ecology and biology to quantify how different two sites are in terms of the species found in those sites.
