Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Coeficiente de Sorensen-Dice× | Disimilitud de Bray-Curtis× | |
|---|---|---|
| Campo | Toma de decisiones | Toma de decisiones |
| Familia | MCDM | MCDM |
| Año de origen≠ | 1945 | 1957 |
| Autor original≠ | Thorvald Sorensen and Lee Dice | John Bray and John T. Curtis |
| Tipo≠ | Binary and compositional similarity measure | Ecological community similarity measure |
| Fuente seminal≠ | Sorensen, T. (1948). A method of establishing groups of equal amplitude in plant sociology based on similarity of species content and its application to analyses of the vegetation on Danish commons. Biologiske Skrifter, 5, 1-34. link ↗ | Bray, J. R., & Curtis, J. T. (1957). An ordination of the upland forest communities of southern Wisconsin. Ecological Monographs, 27(4), 325-349. DOI ↗ |
| Alias | Dice coefficient, Czekanowski index, F1 similarity | Bray-Curtis index, Sorensen-Bray-Curtis, percentage difference |
| Relacionados≠ | 1 | 3 |
| Resumen≠ | Sorensen-Dice coefficient, also called Dice coefficient or Czekanowski index, measures the similarity between two sets or samples based on presence and absence of attributes. Introduced independently by Thorvald Sorensen (1948) and Lee Dice (1945), this index ranges from 0 (completely dissimilar) to 1 (identical). It is particularly well-suited for binary presence-absence data and is the symmetric counterpart to the Bray-Curtis dissimilarity for abundance data. | 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. |
| ScholarGateConjunto de datos ↗ |
|
|