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Multivariate Analysis of Soybean Insect Pests

descriptionPublicationkeyboard_double_arrow_right Article 01 Aug 1984 English Publisher:Oxford University Press (OUP)Journal:Environmental Entomology, volume 13, pages 930-934 (issn: 0046-225X, eissn: 1938-2936, Copyright policy )
Authors: Hugh G. Gauch; Marcos Kogan;

doi: 10.1093/ee/13.4.930

Multivariate Analysis of Soybean Insect Pests

Abstract

The relative impact on soybeans of 24 arthropod species in 18 states is analyzed using the multivariate technique of reciprocal averaging (RA). This ordination technique is related to both weighted averages and to principal components analysis and other eigenvector techniques. The advantages of RA are discussed in comparison to results obtained by cluster analysis. RA is a useful method in the analysis of complex entomological data.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
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