作者: H.G. Gauch , W.M. Scruggs
DOI: 10.1007/BF00228478
关键词: Beta diversity 、 Reciprocal 、 Statistics 、 Distance measures 、 Simulated data 、 Mathematics 、 Data transformation (statistics) 、 Ordination 、 Polar 、 Data matrix (multivariate statistics)
摘要: Three data matrix standardizations, three distance measures, and four ordination equations were tested in a factorial design of 36 variants polar ordination, including the one originally given by Bray & Curtis (1957), with reciprocal averaging (Hill 1973) serving as standard comparison. Their effectiveness was on simulated sets varying beta diversity noise, two field data.