Ordination or gradient analysis, in
multivariate analysis
Multivariate statistics is a subdivision of statistics encompassing the simultaneous observation and analysis of more than one outcome variable.
Multivariate statistics concerns understanding the different aims and background of each of the dif ...
, is a method complementary to
data clustering
Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense) to each other than to those in other groups (clusters). It is a main task of ...
, and used mainly in
exploratory data analysis
In statistics, exploratory data analysis (EDA) is an approach of analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. A statistical model can be used or not, but pr ...
(rather than in
hypothesis testing
A statistical hypothesis test is a method of statistical inference used to decide whether the data at hand sufficiently support a particular hypothesis.
Hypothesis testing allows us to make probabilistic statements about population parameters.
...
). Ordination
orders
Order, ORDER or Orders may refer to:
* Categorization, the process in which ideas and objects are recognized, differentiated, and understood
* Heterarchy, a system of organization wherein the elements have the potential to be ranked a number of d ...
objects that are characterized by values on multiple variables (multivariate objects) so that similar objects are near each other and dissimilar objects are farther from each other. Such relationships between the objects, on each of several axes (one for each variable), are then characterized numerically and/or graphically. Many ordination techniques exist, including
principal components analysis
Principal component analysis (PCA) is a popular technique for analyzing large datasets containing a high number of dimensions/features per observation, increasing the interpretability of data while preserving the maximum amount of information, and ...
(PCA), non-metric
multidimensional scaling
Multidimensional scaling (MDS) is a means of visualizing the level of similarity of individual cases of a dataset. MDS is used to translate "information about the pairwise 'distances' among a set of n objects or individuals" into a configurati ...
(NMDS),
correspondence analysis (CA) and its derivatives (
detrended CA (DCA), canonical CA (CCA)),
Bray–Curtis ordination, and
redundancy analysis (RDA), among others. Contemporary developments for ordination focus on machine learning techniques or using statistical models instead.
Applications
Ordination can be used on the analysis of any set of multivariate objects. It is frequently used in several environmental or ecological sciences, particularly plant
community ecology
In ecology, a community is a group or association of populations of two or more different species occupying the same geographical area at the same time, also known as a biocoenosis, biotic community, biological community, ecological community, ...
. It is also used in
genetics
Genetics is the study of genes, genetic variation, and heredity in organisms.Hartl D, Jones E (2005) It is an important branch in biology because heredity is vital to organisms' evolution. Gregor Mendel, a Moravian Augustinian friar wor ...
and
systems biology
Systems biology is the computational modeling, computational and mathematical analysis and modeling of complex biological systems. It is a biology-based interdisciplinary field of study that focuses on complex interactions within biological syst ...
for
microarray data analysis and in
psychometrics
Psychometrics is a field of study within psychology concerned with the theory and technique of measurement. Psychometrics generally refers to specialized fields within psychology and education devoted to testing, measurement, assessment, and ...
.
See also
*
Multivariate statistics
Multivariate statistics is a subdivision of statistics encompassing the simultaneous observation and analysis of more than one outcome variable.
Multivariate statistics concerns understanding the different aims and background of each of the dif ...
*
Principal components analysis
Principal component analysis (PCA) is a popular technique for analyzing large datasets containing a high number of dimensions/features per observation, increasing the interpretability of data while preserving the maximum amount of information, and ...
*
Correspondence analysis
*
Multiple correspondence analysis In statistics, multiple correspondence analysis (MCA) is a data analysis technique for nominal categorical data, used to detect and represent underlying structures in a data set. It does this by representing data as points in a low-dimensional Eucli ...
*
Detrended correspondence analysis
Detrended correspondence analysis (DCA) is a multivariate statistics, statistical technique widely used by ecology, ecologists to find the main factors or gradients in large, species-rich but usually sparse data matrices that typify Community (ecol ...
*
Intrinsic dimension The intrinsic dimension for a data set can be thought of as the number of variables needed in a minimal representation of the data. Similarly, in signal processing of multidimensional signals, the intrinsic dimension of the signal describes how many ...
References
* , 1998. ''An Annotated Bibliography Of Canonical Correspondence Analysis And Related Constrained Ordination Methods'' 1986–1996. Botanical Institute, University of Bergen. World Wide Web: http://www.bio.umontreal.ca/Casgrain/cca_bib/index.html
* 1988 ''A theory of gradient analysis.'' Adv. Ecol. Res. 18:271-313.
* , Jr. 1982. ''Multivariate Analysis in Community Ecology.'' Cambridge University Press, Cambridge.
* , 1995. ''Data Analysis in Community and Landscape Ecology.'' Cambridge University Press, Cambridge.
* {{aut, Pagani et al., 2015. ''Methodi Ordinatio: a proposed methodology to select and rank relevant scientific papers encompassing the impact factor, number of citation, and year of publication.'' Scientometrics, December 2015, Volume 105, Issue 3, pp 2109–2135.
Further reading
* Mike Palmer
Ordination Methods for EcologistsBotany Department of Oklahoma State University. Retrieved 15 August 2010.
External links
#General
#*http://ordination.okstate.edu/ The Ordination Web Page - Ordination Methods for Ecologists
#*https://www.davidzeleny.net/anadat-r/doku.php/en:start
#*https://link.springer.com/article/10.1007/s11192-015-1744-x
#Specific Techniques
#*http://www.statsoft.com/textbook/stcoran.html
#*http://www.statsoft.com/textbook/stmulsca.html
#*http://www.statsoft.com/textbook/glosfra.html
#*https://link.springer.com/article/10.1007/s11192-015-1744-x Ordination method for articles, using year of publication, impact factor and number of citations.
#Software
#*http://home.centurytel.net/~mjm/pcordwin.htm
#*http://www.microcomputerpower.com/catalog/canoco.html
#*http://www.brodgar.com
#*http://www.VisuMap.com
#*https://cran.r-project.org/web/packages/vegan/vegan.pdf R package for classical ordination methods (CA,DCA,RDA,CCA)
#*https://cran.r-project.org/package=seriation R package for ordering objects
#*https://cran.r-project.org/web/packages/gllvm/index.html R package for model-based ordination
#*https://cran.r-project.org/web/packages/VGAM/index.html R package for model-based ordination
#*https://cran.r-project.org/web/packages/boral/index.html R package for model-based ordination
Dimension reduction