Search results
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.
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.
WHAT ARE SOME GOOD DISTANCE METRICS? Using distances to capture multidimensional heterogeneous information. A “good” distance will enable us to analyze any type of data usefully. We can build specialized distances that incorporate different types of information (abundance, trees, geographical locations, etc.)
distributed environmental data. The Bray-Curtis distance is a favorite for community ecologists to describe similarity in species composition in sample plots. The Bray-Curtis distance is a very robust distance measure. If you have an intuitive sense of similarity of your study subjects (or communities) spot-check the B-C distance matrix.
29 sty 2017 · this paper, we examine some basic properties of the Bray-Curtis dissimilarityas compared with other distance and dissimilarity functions applied to ecological abundance data. We argue that the ability of
16 maj 2023 · Bray-Curtis index of dissimilarity (Bray and Curtis 1957), a distance measure of matrix, was developed and named after J. Roger Bray and John T. Curtis. It is the most widely used beta diversity in ecology and microbiome research fields.
Bray-Curtis (POLAR) Ordination arranges samples with respect to “poles” (end or reference points) according to a distance matrix. The poles (end / reference points) are selected using two samples with the highest ecological distance between them (objective approach), OR using two samples suspected of being at opposite ends of a gradient ...
