WebDetrended correspondence analysis (DCA) was evaluated for its effectiveness in displaying factors controlling the spatial distribution of benthic insects in an oligotrophic stream where an experimental gradient (copper) that selectively affects population abundances was imposed. DCA proved to be highly sensitive to differences among … WebAug 11, 2015 · 11 1. 1. Seem like a reasonable plan. Worry about the detrended after you've got the basic correspondence analysis going. But what do you want to 'enter the data' into? – conjugateprior. Aug 11, 2015 at 0:58.
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WebApr 16, 2010 · The structure of microbial communities was markedly different between ambient CO 2 (aCO 2) and eCO 2 as indicated by detrended correspondence analysis (DCA) of gene-based pyrosequencing data and functional gene array data. While the abundance of genes involved in decomposing recalcitrant C remained unchanged, ... Detrended correspondence analysis (DCA) is a multivariate statistical technique widely used by ecologists to find the main factors or gradients in large, species-rich but usually sparse data matrices that typify ecological community data. DCA is frequently used to suppress artifacts inherent in most other … See more DCA was created in 1979 by Mark Hill of the United Kingdom's Institute for Terrestrial Ecology (now merged into Centre for Ecology and Hydrology) and implemented in FORTRAN code package called DECORANA … See more According to Hill and Gauch, DCA suppresses two artifacts inherent in most other multivariate analyses when applied to gradient data. An example is a time-series of plant … See more No significance tests are available with DCA, although there is a constrained (canonical) version called DCCA in which the axes are forced by See more An open source implementation of DCA, based on the original FORTRAN code, is available in the vegan R-package. See more DCA is an iterative algorithm that has shown itself to be a highly reliable and useful tool for data exploration and summary in … See more The example shows an ideal data set: The species data is in rows, samples in columns. For each sample along the gradient, a new species is introduced but another species is no longer present. The result is a sparse matrix. Ones indicate the presence of a … See more • Eigenanalysis • Ordination (statistics) • Seriation (archaeology) – including additional examples for the arch effect See more soft white underbelly skid row interviews
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WebApr 1, 2013 · Detrended Correspondence Analysis (DCA) is a simple multivariate technique for arranging species and samples along environmental gradients. In order to … WebJan 9, 2013 · Detrended correspondence analysis (DCA), an ordination technique used to describe patterns in complex data sets, and produced the following sequence of ordination axis scores (ter Braak,1986). DCA is an eigenvector ordination technique based on Reciprocal Averaging, correcting for the arch effect produced from RA. WebDetrended correspondence analysis is a multivariate statistical technique widely used by ecologists to find the main factors or gradients in large, species-rich but usually sparse … soft white underbelly updates 2023