Multivariate analysis provides statistical methods for study of the joint relaÂ tionships of variables in data that contain intercorrelations. Because several variables can be considered simultaneously, interpretations can be made that are not possible with univariate statistics. Applications are now common in medicine (117), agriculture (218), geology (50), the social sciences (7, 178, 193), and other disciplines. The opportunity for succinct summaries of large data sets, especially in the exploratory stages of an investigation, has contribÂ uted to an increasing interest in multivariate methods. The first applications of multivariate analysis in ecology and systematics were in plant ecology (54, 222) and numerical taxonomy (187) more than 30 years ago. In our survey of the literature, we found 20 major summaries of recent applications. Between 1978 and 1988, books, proceedings of symÂ posia, and reviews treated applications in ecology (73, 126, 155, 156), ordination and classification (13,53,67,78,81,83,90,113,121,122,159), wildlife biology (33, 213), systematics (148), and morphometries (45, 164, 129 0066-4162/90/1120-0129$02.00 JAMES & MCCULLOCH Table 1 Applications of multivariate analysis in seven jourÂ nals, 1983-1988. In descending order of the number of applicaÂ tions, the journals are Ecology, 128; Oecologia, 80; Journal o f Wildlife Management, 76; Evolution, 72; Systematic Zoology,
Annual Review of Ecology, Evolution, and Systematics – Annual Reviews
Published: Nov 1, 1990
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