@article{
 title = {Co-inertia analysis and the linking of ecological data tables},
 type = {article},
 year = {2003},
 pages = {3078-3089},
 volume = {84},
 id = {d89dec49-9e6c-3a73-85a9-b3089af09fb6},
 created = {2010-11-03T21:13:25.000Z},
 file_attached = {true},
 profile_id = {976aa121-3316-304c-8340-7ca54d70abe6},
 last_modified = {2017-03-16T14:38:37.564Z},
 read = {true},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 citation_key = {Dray2003c},
 source_type = {article},
 short_title = {Co-inertia analysis and the linking of ecological },
 private_publication = {false},
 abstract = {Ecological studies often require studying the common structure of
a pair of data tables. Co-inertia analysis is a multivariate method
for coupling two tables. It is often neglected by ecologists who
prefer the widely used methods of redundancy analysis and canonical
correspondence analysis. We present the co-inertia criterion for
measuring the adequacy between two data sets. Co-inertia analysis
is based on this criterion as are canonical correspondence analysis
or canonical correlation analysis, but the latter two have additional
constraints. Co-inertia analysis is very flexible and allows many
possibilities for coupling. Co-inertia analysis is suitable for quantitative
and/or qualitative or fuzzy environmental variables. Moreover, various
weighting of sites and various transformations and/or centering of
species data are available for this method. Hence, more ecological
considerations can be taken into account in the statistical procedures.
Moreover, the principle of this method is very general and can be
easily extended to the case of distance matrices or to the case of
more than two tables. Simulated ecological data are used to compare
the co-inertia approach with other available methods.},
 bibtype = {article},
 author = {Dray, Stéphane and Chessel, D and Thioulouse, J},
 journal = {Ecology}
}

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