Algorithms and biplots for double constrained correspondence analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F18%3A43897496" target="_blank" >RIV/60076658:12310/18:43897496 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/content/pdf/10.1007%2Fs10651-017-0395-x.pdf" target="_blank" >https://link.springer.com/content/pdf/10.1007%2Fs10651-017-0395-x.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s10651-017-03095-x" target="_blank" >10.1007/s10651-017-03095-x</a>
Alternative languages
Result language
angličtina
Original language name
Algorithms and biplots for double constrained correspondence analysis
Original language description
Correspondence analysis with linear external constraints on both the rows and the columns has been mentioned in the ecological literature, but lacks full mathematical treatment and easily available algorithms and software. This paper fills this gap by defining the method as maximizing the fourth-corner correlation between linear combinations, by providing novel algorithms, which demonstrate relationships with related methods, and by making a detailed study of possible biplots and associated approximations. The method is illustrated using ecological data on the abundances of species in sites and where the species are characterized by traits and sites by environmental variables. The trait data and environment data form the external constraints and the question is which traits and environmental variables are associated, how these associations drive species abundances and how they can be displayed in biplots. With microbiome data becoming widely available, these and related multivariate methods deserve more study as they might be routinely used in the future.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Environmental and Ecological Statistics
ISSN
1352-8505
e-ISSN
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Volume of the periodical
25
Issue of the periodical within the volume
2
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
27
Pages from-to
171-197
UT code for WoS article
000432320500001
EID of the result in the Scopus database
2-s2.0-85040567232