Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Dissimilaridade de Bray-Curtis× | Distância de Canberra× | |
|---|---|---|
| Área | Tomada de decisão | Tomada de decisão |
| Família | MCDM | MCDM |
| Ano de origem≠ | 1957 | 1967 |
| Autor original≠ | John Bray and John T. Curtis | Geoffrey Lance and William Williams |
| Tipo≠ | Ecological community similarity measure | Normalized city-block distance |
| Fonte seminal≠ | Bray, J. R., & Curtis, J. T. (1957). An ordination of the upland forest communities of southern Wisconsin. Ecological Monographs, 27(4), 325-349. DOI ↗ | Lance, G. N., & Williams, W. T. (1967). A general theory of classificatory sorting strategies. Computer Journal, 10(3), 271-277. DOI ↗ |
| Outros nomes≠ | Bray-Curtis index, Sorensen-Bray-Curtis, percentage difference | Canberra metric, normalized Manhattan distance |
| Relacionados≠ | 3 | 1 |
| Resumo≠ | Bray-Curtis dissimilarity is a quantitative measure of compositional difference between two samples, widely used in ecology and community analysis. Introduced by John Bray and John T. Curtis in 1957 for comparing forest communities, this index ranges from 0 (identical composition) to 1 (completely different). It is sensitive to abundance differences and is particularly effective for abundance data such as species counts, microbial populations, or preference intensities. | Canberra distance is a weighted version of the Manhattan distance that normalizes differences by the sum of absolute values. Introduced by Geoffrey Lance and William Williams in 1967 as part of their work on clustering classification methods, this metric emphasizes differences in small values and is sensitive to changes in relative proportions. It is commonly used in taxonomy, ecology, decision-making, and any application where normalized relative differences matter. |
| ScholarGateConjunto de dados ↗ |
|
|